Personal data: = Up close and impersonal

From: Subject: Personal data: Up close and impersonal Date: Mon, 13 Oct 2008 12:45:08 -0400 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01C92D31.866FC890" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.2180 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01C92D31.866FC890 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.fcw.com/print/13_30/features/103590-1.html Personal data: = Up close and impersonal

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Personal data: Up close = and=20 impersonal

Encrypted indexing = techniques let=20 security agencies exchange information more = freely=20 without sacrificing personal privacy

By Alan Joch =
Published on August 27,=20 2007

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To=20 learn more, click=20 = here.

The United States and the = European Union=20 continue to spar about how much information to = release=20 when they compare trans-Atlantic flight = manifests and=20 terrorist watch lists. Domestic agencies focused = on=20 anti-terrorism programs are fighting similar = battles.=20 The issue centers on preserving the privacy of = innocent=20 people while sharing information deemed = essential to=20 fighting terrorism.

Many people regard = new=20 surveillance and data-sharing guidelines, = including=20 sections of the U.S. Patriot Act, as violations = of the=20 Fourth Amendment=92s protections against illegal = searches=20 and seizures.

=93In the first year after = 9/11, a=20 lot of ships sailed because we didn=92t know the = nature of=20 the threat we were looking at,=94 said Jim = Harper,=20 director of information policy studies at the = Cato=20 Institute and a member of the Homeland Security=20 Department=92s Advisory Council. But, he added, = =93given the=20 time we=92ve had since then to assess, a lot of = those=20 ships should be called back to port and=20 decommissioned.=94

A better balance = between=20 national security and privacy might be feasible = now with=20 technology that anonymizes data, some computer = science=20 researchers say. The anonymization technique = relies on=20 software to scour scrambled data, such as = passenger=20 manifests and watch lists, which is encrypted = and=20 intelligible only to computers. The software = flags any=20 matches or suspicious patterns among datasets so = government authorities can request additional=20 information.

=93The government could get = a=20 subpoena or a National Security Letter to ask = for=20 specific records, and you=92re back to = reasonable and=20 particular=94 controls spelled out in the Fourth = Amendment, said Jeff Jonas, a chief scientist at = IBM and=20 developer of the company=92s Anonymous = Resolution=20 Technology.

Despite its promise, = however,=20 anonymization isn=92t used as extensively in the = federal=20 government as some security experts would like. = =93I=92ve=20 been disappointed that the U.S. hasn=92t adopted = anonymizing technologies,=94 said Peter Swire, = law=20 professor at Ohio State University and a senior = fellow=20 at the Center for American Progress, a think = tank. Swire=20 also was the Clinton administration=92s chief = counselor=20 for privacy, a now-defunct post.

Swire = said=20 controls such as anonymization could have a = ripple=20 effect beyond privacy and could increase = security by=20 giving agencies access to more information than = they=20 have now. =93Agencies might get more information = if the=20 public trusts them more,=94 he said.

But = others=20 warn that anonymization isn=92t a complete = answer to=20 privacy assurance. =93It=92s not a magic = bullet,=94 said Paul=20 Wormeli, executive director at the Integrated = Justice=20 Information Systems Institute, which provides = technology=20 training and consulting on information sharing = for=20 public safety, justice and homeland security=20 organizations.

=93Anonymization is just = that first=20 step,=94 Wormeli said. =93You also need to have = a security=20 architecture in mind.=94

Scrambled = information
Anonymization goes beyond=20 figuratively blacking out a person=92s name to = hide an=20 association with a record containing personally=20 identifiable information.

=93Many people = would=20 naively believe [blacking out a person=92s name] = is good=20 enough=94 to protect an individual=92s privacy, = said Latanya=20 Sweeney, associate computer science professor = and=20 director of the Laboratory for International = Data=20 Privacy at Carnegie Mellon University. But = it=92s hardly=20 that, she said. =93With date of birth, gender = and ZIP=20 code, I can identify 87 percent of the people in = the=20 United States.=94

Some anonymization = techniques=20 store encrypted indexes of personal information = in a=20 central repository, an indexing approach Jonas = compares=20 to a library=92s card catalog. It allows each = law=20 enforcement agency to retain detailed = information=20 internally and send only a sm ll amount of it to = an=20 encrypted index. That information could include = passport=20 and phone numbers, addresses and e-mail = accounts.=20

=93When the system finds a match, it = can=92t tell=20 you what the name or the passport number is=94 = because it=20 is encrypted, Jonas said. =93It can tell you = what record=20 to ask about. Each party who holds data gets to = control=20 when they release it and to = whom.=94

Jonas said the=20 United States and other governments are using = the IBM=20 technology, but he declined to elaborate or say = which=20 agencies had implemented it. In some cases, = agencies use=20 it to protect information shared among internal=20 departments that compartmentalize data related = to=20 specific missions. The software and index = arrangement=20 could also be used for interagency data = exchanges, he=20 said.

The search capabilities within=20 anonymization systems also speed the matching of = lists,=20 which allows people who don=92t want to share = their data=20 to learn what they have in common.

=93A = solution=20 without any technology would be like the game Go = Fish,=94=20 Jonas said. =93One of the [groups] can pick up = their phone=20 and start reading off names, but you=92d = basically have to=20 read your whole list.=94

A key = characteristic of=20 the IBM index is what Jonas calls one-way = encryption, a=20 technique for scrambling data without decrypting = it for=20 human eyes. The software is designed to find = matches by=20 comparing encrypted data, but there is no map = available=20 to unscramble it so a person could read it, he = said. =93If=20 you want to reveal what is known behind the = pointer, you=20 have to go ask the person that has the = record.=94=20

IBM isn=92t the only company using = encrypted=20 indexes for anonymization. A company called = InferX uses=20 the approach not to match personally = identifiable=20 information but to safeguard the privacy of data = being=20 analyzed for behavior patterns that might flag=20 suspicious activities.

=93What if you = don=92t know a=20 name, address, phone number or bank account that = you can=20 use to find associations?=94 asked Jesus Mena, = chief=20 strategy officer at the company.

Behavior = analysis tools may increase in importance as = terrorists=20 become harder to profile. Many extremists = aren=92t=20 associated with established cells run by al = Qaeda, for=20 example, making what Mena calls = guilt-by-association=20 matching less effective.

=93You need to = look at=20 suspicious patterns or anomalies for things that = don=92t=20 behave in the normal way,=94 Mena said. =

Examples=20 include shipping containers unexpectedly delayed = at a=20 foreign port or suspicious border-crossing = patterns=20 red-flagged by an uninsured vehicle driven by a = foreign=20 national at a time of day known to be favored by = smugglers. Thus warned, authorities might then = order a=20 more thorough inspection of the container or = vehicle,=20 Mena said.

Like InferX, Initiate Systems = uses=20 its encrypted index to look for matches in data = pulled=20 from participating systems. The difference is = that=20 Initiate Systems=92 proprietary algorithms use = statistical=20 analysis and probabilities for matching, as = opposed to=20 algorithms that look for more direct one-to-one=20 associations, said Scott Schumacher, the = company=92s chief=20 scientist.

=93In our world, when you are = matching=20 on the anonymized data, you can say, =91I want = to see just=20 the for-sure matches=92 or =91I want to see the = fuzzy=20 matches,=92 =94 Schumacher said. The company=92s = approach can=20 assign weights to influence the likelihood of a = match=20 based on how frequently a certain value appears = in the=20 database.

Privacy = controls
Encrypted=20 information indexes can also help agencies meet=20 regulatory requirements. An agency can=92t = legally share=20 databases of personal information obtained for = one=20 purpose =97 a Social Security account, for = example =97 with=20 another agency conducting a different mission, = such as=20 anti-terrorism, said Steve Cooper, former CIO at = the=20 Homeland Security Department and former American = Red=20 Cross CIO.

=93Agencies can=92t reach = into another=20 database without notifying the public and the = Congress,=94=20 he said.

But agencies can make inquiries = about=20 subsets of database information, s ch as names = and=20 birthdates. =93Once we know that there=92s a = match, then we=20 can follow the proper procedures,=94 Cooper=20 said.

The American Red Cross used an = early=20 version of the IBM technology in the aftermath = of=20 Hurricane Katrina to help state attorneys = general track=20 down parolees who were scattered by the storm = and out of=20 touch with parole officers.

When = requests by=20 authorities for names of shelter occupants posed = a=20 privacy dilemma for the organization, Cooper=92s = staff=20 used the anonymization technology to compare = lists=20 provided by law enforcement authorities with its = internal files.

=93This allowed us to = tell a=20 state, =91We do appear to have the following = individual or=20 individuals in this shelter,=92 and then follow = up so the=20 shelter manager and the local authorities were=20 notified,=94 Cooper said. =93They then could = talk to the=20 individual to see if, in fact, if it was the = right=20 person. We were able to do that without = disclosing=20 [personal] information to = authorities.=94

Whom=20 can you trust?
IBM, Initiate and InferX = officials=20 say one-way encryption is a sufficient safeguard = for the=20 use of a central index manager. Even if the = index is=20 breached, the information remains unintelligible = because=20 there is no key at the index site to unscramble = the=20 data.

Sweeney, however, said the = technique has=20 weaknesses. She and her staff at Carnegie Mellon = develop=20 anonymization algorithms and techniques for = privacy=20 protection.

=93Most of the time in = Washington,=20 people feel like they have to choose either to = be safe=20 or to have privacy,=94 she said. =93Our = solutions give us=20 this sweet spot where you can have = both.=94

The=20 software, known as PrivaMix, has been used for=20 compliance with the Health Insurance Portability = and=20 Accountability Act in health care organizations = and to=20 protect the identities of clients in = domestic-violence=20 and homeless shelters funded by the Housing and = Urban=20 Development Department. Sweeney said she has = talked with=20 some government officials about homeland = security=20 applications for the technology.

The = Privacy=20 Lab=92s approach is to eliminate the central = index and the=20 associated need for a trusted party to maintain = it,=20 which in Sweeney=92s view is the main = vulnerability of the=20 indexing technique.

Instead, each member = of a=20 data-sharing network would use PrivaMix to = assign=20 numerical codes to their data about clients and = facility=20 visits and then share the codes via secure = Internet=20 connections. The software could later match = codes held=20 in separate databases. Throughout the matching = process,=20 individuals=92 identities wouldn=92t be = divulged, and=20 agencies wouldn=92t share any actual data. They = would=20 simply share the codes.

A similar = approach could=20 be used if an agency wanted to compare = information from=20 government watch lists, airlines, travel = companies,=20 hotels or car rental agencies, for example, = Sweeney=20 said.
PrivaMix uses a proprietary form of = data=20 scrambling that Sweeney said is as effective as = standard=20 strong-encryption technology, and it doesn=92t = include a=20 decryption key.

Lingering=20 frustration
Anonymization techniques = require some=20 data customization to increase the accuracy of = matches.=20 Proponents say the technology is mature enough = for use=20 in homeland security programs to help balance=20 information sharing and privacy controls. But = industry=20 officials say government officials don=92t seem = to be in a=20 hurry to adopt the technology. =

=93We=92ve had three=20 or four meetings with [Customs and Border = Protection=20 officials], and they are excited about the = capability,=20 but they are very slow in moving,=94 Mena said. = One=20 problem has been turnover among the people his = company=20 has briefed, he added.

Citing reluctance = to=20 discuss data sharing related to homeland = security=20 programs, intelligence and law enforcement = agencies =97=20 including the Office of the Director of National = Intelligence and the Justice Department =97 = declined=20 interviews for this story.

The = frustration of=20 industry officials and others in getting their = views=20 heard is evident. Sweeney said she is disturbed = that=20 discussions about anti-terrorism ctivities and = privacy=20 are often polarized.

=93It seems that = everybody=20 just wants to keep the conversati n stuck in = this=20 all-or-nothing, win-everything or = lose-everything mode,=94=20 she said. =93It just doesn=92t have to be that = way.=94=20

Transition=20 2009, Four Points Sheraton, Washington,=20 DC
October 15, 2008

GCN=20 Awards Gala, Hilton Washington in = Washington,=20 D.C.
October 22, 2008=20

<= /SCRIPT> <= /SCRIPT>

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FONT-FAMILY: Arial, Helvetica, = sans-serif } .section_business { PADDING-RIGHT: 5px; PADDING-LEFT: 5px; FONT-SIZE: 10px; PADDING-BOTTOM: = 5px; COLOR: #ffffff; PADDING-TOP: 5px; FONT-FAMILY: Arial, Helvetica, = sans-serif; BACKGROUND-COLOR: #2f9cd7 } .section_business A { FONT-SIZE: 10px; COLOR: #ffffff; FONT-FAMILY: Arial, Helvetica, = sans-serif } .section_yellow { PADDING-RIGHT: 5px; PADDING-LEFT: 5px; FONT-SIZE: 12px; PADDING-BOTTOM: = 5px; COLOR: #333333; PADDING-TOP: 5px; FONT-FAMILY: Arial, Helvetica, = sans-serif; BACKGROUND-COLOR: #ffeea8 } .footer { FONT-SIZE: 12px; COLOR: #333333; FONT-FAMILY: Arial, Helvetica, = sans-serif } .polltext { PADDING-RIGHT: 5px; BACKGROUND-POSITION: center center; PADDING-LEFT: = 15px; FONT-WEIGHT: bold; FONT-SIZE: 12px; PADDING-BOTTOM: 5px; COLOR: = #737373; PADDING-TOP: 10px; FONT-FAMILY: Arial, Helvetica, sans-serif; = FONT-VARIANT: normal } .polltext A { FONT-SIZE: 12px; COLOR: #333333; FONT-FAMILY: Arial, Helvetica, = sans-serif; TEXT-DECORATION: none } .polltext2 { PADDING-RIGHT: 0px; BACKGROUND-POSITION: center center; PADDING-LEFT: = 20px; FONT-WEIGHT: bold; FONT-SIZE: 12px; PADDING-BOTTOM: 5px; COLOR: = #990000; PADDING-TOP: 5px; FONT-FAMILY: Arial, Helvetica, sans-serif; = FONT-VARIANT: normal } pollfont { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #737373; FONT-FAMILY: = Arial,Helvetica,sans-serif; FONT-VARIANT: normal } .pad { PADDING-LEFT: 18px } .padrising { PADDING-RIGHT: 9px; PADDING-LEFT: 9px; FONT-WEIGHT: normal; FONT-SIZE: = 12px; COLOR: #000000; FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, = sans-serif } .padrising A { FONT-WEIGHT: bolder; FONT-SIZE: 12px; COLOR: #000000; FONT-STYLE: = normal; FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .padblog { PADDING-LEFT: 18px; FONT-SIZE: 14px; COLOR: #333333; FONT-FAMILY: = Arial, Helvetica, sans-serif } .padblog A { COLOR: #0066cc; FONT-FAMILY: Arial, Helvetica, sans-serif } .Related { MARGIN-TOP: 5px; MARGIN-BOTTOM: 5px; MARGIN-LEFT: 5px; WIDTH: 300px; = BACKGROUND-COLOR: #f0f0f0 } .RelatedTitle { PADDING-RIGHT: 2px; PADDING-LEFT: 2px; FONT-WEIGHT: bold; FONT-SIZE: = 14px; PADDING-BOTTOM: 5px; COLOR: #ffffff; LINE-HEIGHT: 16px; = PADDING-TOP: 5px; FONT-FAMILY: Arial, Helvetica, sans-serif; = BACKGROUND-COLOR: #2381b5; TEXT-ALIGN: center } .RelatedContent { PADDING-RIGHT: 7px; PADDING-LEFT: 7px; FONT-SIZE: 12px; PADDING-BOTTOM: = 7px; VERTICAL-ALIGN: top; COLOR: #000000; LINE-HEIGHT: 13px; = PADDING-TOP: 7px; FONT-FAMILY: Arial, Helvetica, sans-serif } .Related A:link { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #003399; TEXT-DECORATION: = none } .Related A:visited { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #003399; TEXT-DECORATION: = none } .Related A:hover { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #cc0000; TEXT-DECORATION: = underline } .Related A:active { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #cc0000; TEXT-DECORATION: = underline } .solutions { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; PADDING-LEFT: 12px; FONT-WEIGHT: = normal; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: 14px; FONT-STYLE: = normal; FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .solutions A { FONT-WEIGHT: bolder; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: = 14px; FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = TEXT-DECORATION: none } .solutions A.searchtitle { FONT-WEIGHT: bolder; FONT-SIZE: 14px; COLOR: #000066; LINE-HEIGHT: = 14px; FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = TEXT-DECORATION: none } .hometab { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; FONT-WEIGHT: normal; FONT-SIZE: = 12px; COLOR: #000000; LINE-HEIGHT: 13px; FONT-STYLE: normal; = FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .highlighted_home_tab { BORDER-RIGHT: #333333 1px solid; BORDER-TOP: #333333 1px solid; = BORDER-LEFT: #333333 1px solid; BORDER-BOTTOM: #333333 1px solid } .upcoming_tab { BORDER-RIGHT: #cccccc 1px solid; BORDER-TOP: #cccccc 1px; BORDER-LEFT: = #cccccc 1px solid; BORDER-BOTTOM: #cccccc 1px solid } .hometab A { FONT-WEIGHT: bolder; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: = 13px; FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = TEXT-DECORATION: none } .latestNewsList { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; PADDING-LEFT: 12px; FONT-WEIGHT: = normal; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: 14px; FONT-STYLE: = normal; FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .latestNewsHeadline { FONT-WEIGHT: bolder; COLOR: #000000; TEXT-DECORATION: none } .latestNewsAbstract { =09 } .latestNewsDate { FONT-SIZE: 11px; COLOR: #2280b6; FONT-STYLE: italic } .latestNewsNavigation { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; PADDING-LEFT: 12px; FONT-WEIGHT: = bold; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: 14px; FONT-STYLE: = normal; FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .latestNewsNavigationAction { COLOR: #2280b6; TEXT-DECORATION: none } .career topicNewsList { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .career { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .career .career1 { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #cc0000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .career A { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .career A:hover { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif; TEXT-DECORATION: underline } .career A:visited { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .career .topicNewsList { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .career .career1 .topicNewsHeadline { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif } .career .topicNewsAbstract { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .topicNewsList { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; FONT-WEIGHT: normal; FONT-SIZE: = 12px; COLOR: #000000; LINE-HEIGHT: 14px; FONT-STYLE: normal; = FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .topicNewsHeadline { FONT-WEIGHT: bolder; FONT-SIZE: 11px; COLOR: #000000; TEXT-DECORATION: = none } .topicNewsAbstract { =09 } .topicNewsDate { FONT-SIZE: 11px; COLOR: #2280b6; FONT-STYLE: italic } .topicNewsNavigation { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; PADDING-LEFT: 12px; FONT-WEIGHT: = bold; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: 14px; FONT-STYLE: = normal; FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .topicNewsNavigationAction { COLOR: #2280b6; TEXT-DECORATION: none } .section_storyad { FONT-WEIGHT: bold; FONT-SIZE: 12px; MARGIN: 0px; COLOR: #990000; = PADDING-TOP: 0px; FONT-FAMILY: Arial, Helvetica, sans-serif; = BACKGROUND-COLOR: #fffbe8 } .storybyline { FONT-WEIGHT: bold; FONT-SIZE: 14px; COLOR: #990000; FONT-FAMILY: Arial, = Helvetica, sans-serif } .storybyline A { FONT-WEIGHT: bold; FONT-SIZE: 14px; COLOR: #990000; FONT-FAMILY: Arial, = Helvetica, sans-serif } .storyhead { FONT-WEIGHT: bold; FONT-SIZE: 18px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif; TEXT-DECORATION: none } .storysubhead { FONT-WEIGHT: bold; FONT-SIZE: 14px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif; TEXT-DECORATION: none } .storybody { PADDING-RIGHT: 5px; FONT-WEIGHT: normal; FONT-SIZE: 12px; COLOR: = #000000; LINE-HEIGHT: 15px; FONT-FAMILY: Arial, Helvetica, sans-serif } .storybody A { FONT-WEIGHT: normal; FONT-SIZE: 12px; COLOR: #990000; FONT-FAMILY: = Arial, Helvetica, sans-serif; TEXT-DECORATION: underline } .articlebottommargin { PADDING-RIGHT: 0px; PADDING-LEFT: 0px; FONT-SIZE: 10px; PADDING-BOTTOM: = 0px; COLOR: #ffffff; PADDING-TOP: 0px; FONT-FAMILY: Arial, Helvetica, = sans-serif; BACKGROUND-COLOR: #2798d4 } .rellink { PADDING-RIGHT: 5px; PADDING-LEFT: 5px; FONT-WEIGHT: normal; FONT-SIZE: = 11px; PADDING-BOTTOM: 5px; COLOR: #000000; PADDING-TOP: 5px; = FONT-FAMILY: Arial, Helvetica, sans-serif } .rellink A { PADDING-RIGHT: 5px; PADDING-LEFT: 5px; FONT-WEIGHT: bold; FONT-SIZE: = 11px; PADDING-BOTTOM: 5px; COLOR: #990000; PADDING-TOP: 5px; = FONT-FAMILY: Arial, Helvetica, sans-serif } .dateheader { FONT-WEIGHT: bolder; FONT-SIZE: 12px; COLOR: #990000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .themeMenuNavigation { BORDER-RIGHT: #990000 thin; BORDER-TOP: #990000 thin; FONT-WEIGHT: = bold; FONT-SIZE: 14px; TEXT-TRANSFORM: capitalize; BORDER-LEFT: #990000 = thin; WIDTH: 400px; COLOR: #000000; BORDER-BOTTOM: #990000 thin; = FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = BACKGROUND-COLOR: #ffffcc; TEXT-DECORATION: none } .themeMenuNavigation A { BORDER-RIGHT: #990000 thin; BORDER-TOP: #990000 thin; FONT-WEIGHT: = bold; FONT-SIZE: 14px; TEXT-TRANSFORM: capitalize; BORDER-LEFT: #990000 = thin; WIDTH: 400px; COLOR: #000000; BORDER-BOTTOM: #990000 thin; = FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = BACKGROUND-COLOR: #ffffcc; TEXT-DECORATION: none } .externalContentHeadline { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #2381b6; FONT-FAMILY: Arial, = Helvetica, sans-serif } .externalContentList { PADDING-RIGHT: 5px; PADDING-LEFT: 15px; PADDING-BOTTOM: 5px; = PADDING-TOP: 5px } .externalContentAbstract { FONT-WEIGHT: normal; FONT-SIZE: 12px; COLOR: #000000; FONT-FAMILY: = Arial, Helvetica, sans-serif } .themeMenuNavigation A:hover { BORDER-RIGHT: #990000 thin; BORDER-TOP: #990000 thin; FONT-WEIGHT: = bold; FONT-SIZE: 14px; TEXT-TRANSFORM: capitalize; BORDER-LEFT: #990000 = thin; WIDTH: 400px; COLOR: #990000; BORDER-BOTTOM: #990000 thin; = FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = BACKGROUND-COLOR: #ffeea8; TEXT-DECORATION: underline } .solutionscol { PADDING-RIGHT: 5px; MARGIN-TOP: 5px; FONT-WEIGHT: normal; FONT-SIZE: = 12px; COLOR: #000000; LINE-HEIGHT: 14px; FONT-STYLE: normal; = FONT-FAMILY: Arial, Helvetica, sans-serif; TEXT-DECORATION: none } .solutionscol A { FONT-WEIGHT: bolder; FONT-SIZE: 12px; COLOR: #000000; LINE-HEIGHT: = 14px; FONT-STYLE: normal; FONT-FAMILY: Arial, Helvetica, sans-serif; = TEXT-DECORATION: none } .blogbody { PADDING-RIGHT: 15px; FONT-WEIGHT: normal; FONT-SIZE: 12px; COLOR: = #000000; FONT-FAMILY: Arial, Helvetica, sans-serif } .blogbody A { FONT-WEIGHT: normal; FONT-SIZE: 12px; COLOR: #0033cc; FONT-FAMILY: = Arial, Helvetica, sans-serif; TEXT-DECORATION: underline } .blogbody LI { FONT-WEIGHT: normal; FONT-SIZE: 12px; PADDING-BOTTOM: 4px; COLOR: = #0033cc; PADDING-TOP: 4px; FONT-FAMILY: Arial, Helvetica, sans-serif; = TEXT-DECORATION: underline } .blogbody LI A { FONT-WEIGHT: normal; FONT-SIZE: 12px; PADDING-BOTTOM: 4px; COLOR: = #0033cc; PADDING-TOP: 4px; FONT-FAMILY: Arial, Helvetica, sans-serif; = TEXT-DECORATION: underline } .blogbody H1 { FONT-SIZE: 18px; COLOR: #333333; FONT-FAMILY: Arial, Helvetica, = sans-serif } .blogbody H1 A { FONT-SIZE: 18px; COLOR: #333333; FONT-FAMILY: Arial, Helvetica, = sans-serif } .blogbody H2 { FONT-SIZE: 12px; COLOR: #1773bd; FONT-FAMILY: Arial, Helvetica, = sans-serif } .blogbody H2 A { FONT-SIZE: 12px; COLOR: #1773bd; FONT-FAMILY: Arial, Helvetica, = sans-serif } .blogbody H3 { FONT-SIZE: 14px; COLOR: #990000; FONT-FAMILY: Arial, Helvetica, = sans-serif } .blogbody H3 A { FONT-SIZE: 14px; COLOR: #990000; FONT-FAMILY: Arial, Helvetica, = sans-serif } H5 { FONT-WEIGHT: bold; FONT-SIZE: 14px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif } .top1nav { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #ffffff; FONT-FAMILY: Arial, = Helvetica, sans-serif } .top1nav A { FONT-SIZE: 12px; COLOR: #ffffff; FONT-FAMILY: Arial, Helvetica, = sans-serif; TEXT-DECORATION: none } .top1nav A:hover { FONT-SIZE: 12px; COLOR: #ffffcc; FONT-FAMILY: Arial, Helvetica, = sans-serif; TEXT-DECORATION: underline } .secondnav { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #333333; FONT-FAMILY: Arial, = Helvetica, sans-serif; BACKGROUND-COLOR: #ffcc00 } .secondnav A { FONT-WEIGHT: bold; FONT-SIZE: 11px; COLOR: #333333; FONT-FAMILY: Arial, = Helvetica, sans-serif; BACKGROUND-COLOR: #ffcc00 } .secondnavlink { FONT-WEIGHT: normal; FONT-SIZE: 11px; COLOR: #666666; FONT-FAMILY: = Arial, Helvetica, sans-serif } .ht_back { BACKGROUND-POSITION: left top; FONT-SIZE: 12px; BACKGROUND-IMAGE: = url(/media/ui/hot_top1_r2_c1.jpg); COLOR: #333333; BACKGROUND-REPEAT: = repeat-y; FONT-FAMILY: Arial, Helvetica, sans-serif } .st_sec_bg { BACKGROUND-POSITION: left top; PADDING-LEFT: 10px; FONT-WEIGHT: bold; = FONT-SIZE: 13px; BACKGROUND-IMAGE: url(/media/ui/st_sec_bg.jpg); COLOR: = #000000; BACKGROUND-REPEAT: repeat-x; FONT-FAMILY: Arial, Helvetica, = sans-serif; HEIGHT: 20px } .st_sec_td { PADDING-RIGHT: 2px; PADDING-LEFT: 10px; FONT-SIZE: 12px; = PADDING-BOTTOM: 6px; COLOR: #000000; PADDING-TOP: 6px; FONT-FAMILY: = Arial, Helvetica, sans-serif } .st_sec_td A { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #990000; FONT-FAMILY: Arial, = Helvetica, sans-serif; TEXT-DECORATION: none } .st_sec_td A:hover { TEXT-DECORATION: underline } .st_sec_table { BORDER-RIGHT: #999999 1px solid; BORDER-TOP: #999999 1px solid; = BORDER-LEFT: #999999 1px solid; BORDER-BOTTOM: #999999 1px solid } .text_story_input { BORDER-RIGHT: #666666 1px solid; BORDER-TOP: #666666 1px solid; = FONT-WEIGHT: bold; FONT-SIZE: 11px; BORDER-LEFT: #666666 1px solid; = WIDTH: 175px; COLOR: #012e72; BORDER-BOTTOM: #666666 1px solid; = FONT-FAMILY: Arial, Helvetica, sans-serif; BACKGROUND-COLOR: #fffae6 } .st_form_table { BORDER-RIGHT: #333333 1px solid; BORDER-TOP: #333333 1px solid; = FONT-WEIGHT: bold; FONT-SIZE: 12px; BORDER-LEFT: #333333 1px solid; = COLOR: #333333; BORDER-BOTTOM: #333333 1px solid; FONT-FAMILY: Arial, = Helvetica, sans-serif; BACKGROUND-COLOR: #e8e8e8 } .searchform1 { BORDER-RIGHT: #333333 1px solid; BORDER-TOP: #333333 1px solid; = FONT-SIZE: 10px; BORDER-LEFT: #333333 1px solid; WIDTH: 100px; = BORDER-BOTTOM: #333333 1px solid; BACKGROUND-COLOR: #ffffcc } .lefthottopic_search1 { PADDING-RIGHT: 5px; PADDING-LEFT: 20px; FONT-WEIGHT: bold; FONT-SIZE: = 12px; COLOR: #000000; PADDING-TOP: 10px; FONT-FAMILY: Arial, Helvetica, = sans-serif } .lefthottopic_search1 A { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif; TEXT-DECORATION: none } .lefthottopic_search1 A:hover { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #cc0000; FONT-FAMILY: Arial, = Helvetica, sans-serif; TEXT-DECORATION: underline } .lefthottopic_search2 { PADDING-RIGHT: 5px; PADDING-LEFT: 20px; FONT-WEIGHT: bold; FONT-SIZE: = 12px; PADDING-BOTTOM: 20px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif } .searchformfcw { MARGIN-BOTTOM: 0px; PADDING-BOTTOM: 0px } TD.pad { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.pad TD { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.pad P { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.pad LI { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.content { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.content TD { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.content P { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.content LI { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } TD.content A { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #000000; FONT-FAMILY: Arial, = Helvetica, sans-serif; TEXT-DECORATION: none } TD.content A:hover { FONT-WEIGHT: bold; FONT-SIZE: 12px; COLOR: #cc0000; TEXT-DECORATION: = underline } .copyTiny { FONT-SIZE: 10px; FONT-FAMILY: Arial, Helvetica, sans-serif } .copySmall { FONT-SIZE: 11px; FONT-FAMILY: Arial, Helvetica, sans-serif } .copy { FONT-SIZE: 12px; FONT-FAMILY: Arial, Helvetica, sans-serif } .copyMedium { 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\r\n $3D\"Hewlett$ \r\n =

\r\n');}=0A= =0A= function AAMB3(){document.write('\n\n');}=0A= =0A= function AAMB4(){document.write('\r\n\r\n\r\n\r\nvar amRan =3D = Math.round(Math.random()*1000);\r\nvar encSrc =3D\r\n\'

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\r\n

\r\n');}=0A= =0A= function AAMB5(){document.write('\r\n\r\n\r\n\r\nvar amRan =3D = Math.round(Math.random()*1000);\r\nvar encSrc =3D\r\n\'

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\r\n $3D\"Lockheed$ \r\n

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a=3DRcrsLvl=3D=3D1&&FirstLineHorizontal?3:RightToLeft?6:0; S=3DArrws[a]; W=3DArrws[a+1]; H=3DArrws[a+2]; T=3DRcrsLvl=3D=3D1&&FirstLineHorizontal?Hght-H-2:(Hght-H)/2; L=3DRightToLeft?2:Wdth-W-2; if(DomYes){ t=3DLocation.document.createElement('img'); this.appendChild(t); t.style.position=3D'absolute'; t.src=3DS; t.style.width=3DW+P_X; t.style.height=3DH+P_X; t.style.top=3DT+P_X; t.style.left=3DL+P_X} else{ MemVal+=3D"

"; this.innerHTML=3DMemVal}} if(ExpYes){this.onselectstart=3DCnclSlct; = this.onmouseover=3DRcrsLvl=3D=3D1&&UnfoldsOnClick?OpenMenuClick:OpenMenu;= this.onmouseout=3DCloseMenu; = this.onclick=3DRcrsLvl=3D=3D1&&UnfoldsOnClick&&eval(WhatMenu+'[3]')?OpenM= enu:GoTo } else{ = RcrsLvl=3D=3D1&&UnfoldsOnClick?this.addEventListener('mouseover',OpenMenu= Click,false):this.addEventListener('mouseover',OpenMenu,false); this.addEventListener('mouseout',CloseMenu,false); = RcrsLvl=3D=3D1&&UnfoldsOnClick&&eval(WhatMenu+'[3]')?this.addEventListene= r('click',OpenMenu,false):this.addEventListener('click',GoTo,false)}} function NavMbrSetUp(MmbrCntnr,PrMmbr,WhatMenu,Wdth,Hght){ var a,b,c,d; if(RcrsLvl=3D=3D1){ a=3DLowBgColor; b=3DHighBgColor; c=3DFontLowColor; d=3DFontHighColor} else { a=3DLowSubBgColor; b=3DHighSubBgColor; c=3DFontSubLowColor; d=3DFontSubHighColor } this.value=3Deval(WhatMenu+'[0]'); this.ro=3D0; if(this.value.indexOf('rollover')!=3D-1){ this.ro=3D1; = this.ri1=3Dthis.value.substring(this.value.indexOf(':')+1,this.value.last= IndexOf(':')); = this.ri2=3Dthis.value.substring(this.value.lastIndexOf(':')+1,this.value.= length); this.rid=3DWhatMenu+'i';this.value=3D"

"} = if(LeftPaddng&&this.value.indexOf('<')=3D=3D-1&&MenuTextCentered=3D=3D'le= ft')this.value=3D' \;'+this.value; if(FontBold)this.value=3Dthis.value.bold(); if(FontItalic)this.value=3Dthis.value.italics(); this.Ovalue=3Dthis.value; this.value=3Dthis.value.fontcolor(c); this.Ovalue=3Dthis.Ovalue.fontcolor(d); this.value=3DCntrTxt+""+this.value+TxtClose; this.Ovalue=3DCntrTxt+""+this.Ovalue+TxtClose; this.LoBck=3Da; this.HiBck=3Db; this.ChildCntnr=3Dnull; this.PrvMbr=3DPrMmbr; this.Hilite=3D0; this.visibility=3D'inherit'; if(this.LoBck)this.bgColor=3Dthis.LoBck; this.resizeTo(Wdth,Hght); = if(!AcrssFrms&&eval(WhatMenu+'[2]'))this.background.src=3Deval(WhatMenu+'= [2]'); this.document.write(this.value); this.document.close(); this.CmdLyr=3Dnew Layer(Wdth,MmbrCntnr); this.CmdLyr.Level=3DRcrsLvl; this.CmdLyr.LinkTxt=3Deval(WhatMenu+'[1]'); this.CmdLyr.visibility=3D'inherit'; = this.CmdLyr.onmouseover=3DRcrsLvl=3D=3D1&&UnfoldsOnClick?OpenMenuClick:Op= enMenu; this.CmdLyr.onmouseout=3DCloseMenu; this.CmdLyr.captureEvents(Event.MOUSEUP); = this.CmdLyr.onmouseup=3DRcrsLvl=3D=3D1&&UnfoldsOnClick&&eval(WhatMenu+'[3= ]')?OpenMenu:GoTo; this.CmdLyr.LowLyr=3Dthis; this.CmdLyr.resizeTo(Wdth,Hght); this.CmdLyr.Container=3DMmbrCntnr; if(eval(WhatMenu+'[3]')&&ShowArrow){ a=3DRcrsLvl=3D=3D1&&FirstLineHorizontal?3:RightToLeft?6:0; this.CmdLyr.ImgLyr=3Dnew Layer(Arrws[a+1],this.CmdLyr); this.CmdLyr.ImgLyr.visibility=3D'inherit'; = this.CmdLyr.ImgLyr.top=3DRcrsLvl=3D=3D1&&FirstLineHorizontal?Hght-Arrws[a= +2]-2:(Hght-Arrws[a+2])/2; this.CmdLyr.ImgLyr.left=3DRightToLeft?2:Wdth-Arrws[a+1]-2; this.CmdLyr.ImgLyr.width=3DArrws[a+1]; this.CmdLyr.ImgLyr.height=3DArrws[a+2]; ImgStr=3D"

"; this.CmdLyr.ImgLyr.document.write(ImgStr); this.CmdLyr.ImgLyr.document.close()}} function CreateMenuStructure(MName,NumberOf){ RcrsLvl++; var i,NoOffSubs,Mbr,Wdth=3D0,Hght=3D0; var PrvMmbr=3Dnull; var WMnu=3DMName+'1'; var MenuWidth=3Deval(WMnu+'[5]'); var MenuHeight=3Deval(WMnu+'[4]'); var Location=3DRcrsLvl=3D=3D1?FrstLoc:ScLoc; if (RcrsLvl=3D=3D1&&FirstLineHorizontal){ for(i=3D1;i<\/div>"); var MmbrCntnr=3DLocation.document.all[WMnu]}} MmbrCntnr.SetUp=3DCntnrSetUp; MmbrCntnr.SetUp(Wdth,Hght,NumberOf); if(Exp4){ MmbrCntnr.InnerString=3D''; for(i=3D1;i<\/div>"} MmbrCntnr.innerHTML=3DMmbrCntnr.InnerString} for(i=3D1;i0;i--){ WMnu=3DMName+eval(i); NoOffSubs=3Deval(WMnu+'[3]'); PrvMmbr=3DMbr; if(NoOffSubs)Mbr.ChildCntnr=3DCreateMenuStructure(WMnu+'_',NoOffSubs); Mbr=3DMbr.PrvMbr} RcrsLvl--} ------=_NextPart_000_0000_01C92D31.866FC890 Content-Type: application/octet-stream Content-Transfer-Encoding: quoted-printable Content-Location: http://www.fcw.com/custom/js/tabcontent.js //** Tab Content script- =A9 Dynamic Drive DHTML code library = (http://www.dynamicdrive.com) //** Last updated: June 29th, 06 var enabletabpersistence=3D1 //enable tab persistence via session only = cookies, so selected tab is remembered? ////NO NEED TO EDIT BELOW//////////////////////// var tabcontentIDs=3Dnew Object() function expandcontent(linkobj){ var ulid=3Dlinkobj.parentNode.parentNode.id //id of UL element var ullist=3Ddocument.getElementById(ulid).getElementsByTagName("li") = //get list of LIs corresponding to the tab contents for (var i=3D0; i') } ------=_NextPart_000_0000_01C92D31.866FC890 Content-Type: application/octet-stream Content-Transfer-Encoding: quoted-printable Content-Location: http://media3.washingtonpost.com/wp-adv/topjobs/listings_fcw.js var tj_jobs =3D new Array(=0A= new TopJob('Java Software Engineer (Grid = Computing)','http://www.washingtonpost.com/wl/jobs/JS_JobSearchDetail?pju= s=3Dpn_fcw&brand=3Dfcw&value=3D27021006','Parabon Computation')=0A= ) ; ------=_NextPart_000_0000_01C92D31.866FC890 Content-Type: application/octet-stream Content-Transfer-Encoding: quoted-printable Content-Location: http://www.washingtonpost.com/wp-adv/topjobs/displayTopJobs2.js function displayTopJobs( section, urlStr) { if ( typeof urlStr=3D=3D "undefined" || urlStr.length <=3D 0 )=20 { = urlStr=3D"http://www.washingtonpost.com/wl/jobs/JobSearchServlet?action=3D= product&product=3D1040"; } if ( typeof tj_jobs !=3D "undefined" && tj_jobs.length > 0 ) { var justOneJob =3D false ; if ( tj_jobs.length > 1 ) justOneJob =3D true ; // maximum number of top jobs to display =09 var TJ_COUNT =3D 5 ; var tj_limit =3D (TJ_COUNT>tj_jobs.length) ? tj_jobs.length : TJ_COUNT = ; var tj_display_jobs =3D new Array(tj_limit) ; for(var i=3D0; i') ; tj_output +=3D ('

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' + '

'; tj_output +=3D ( '\n' ) ; } if ( justOneJob ) { tj_output +=3D ('

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'); if( (typeof getCookie !=3D 'undefined' && getCookie('WPATC') && = getCookie('WPATC').match('C=3D1:') ) || = !location.href.match('washingtonpost.com') || (typeof thisNode !=3D = 'undefined' && thisNode.match('jobs')) || (location.href.match('jobs')) = ) { document.write( tj_output ); if(location.href.match('debugAdCode')) { document.write('

WPATC Cookie: ' + getCookie('WPATC') + = '

'); } } else { var CBcommercialNode =3D (typeof commercialNode !=3D = 'undefined')?commercialNode:((typeof thisNode !=3D = 'undefined')?thisNode:'news'); var CBcommercialNode =3D (CBcommercialNode.split('/').length > = 2)?(CBcommercialNode.split('/')[0] + '/' + = CBcommercialNode.split('/')[1]):CBcommercialNode; var careerBuilderAdCode =3D ''; =09 document.writeln ('

' ); =09 //logic to turn off cb for airforce buyout if(now < "02252200" || now > "02262359") { document.write(careerBuilderAdCode); } =09 if(location.href.match('debugAdCode')) { debugCode =3D careerBuilderAdCode.replace(/\/gi,'>'); document.write('

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