UMBC has established two new graduate programs in cybersecurity education, one leading to a Master’s in Professional Studies (MPS) degree in cybersecurity and another to a graduate certificate in cybersecurity strategy and policy. Both are designed for students and working professionals who aspire to make a difference in the security, stability, and functional agility of the national and global information infrastructure. The programs will begin in January 2011.
Archive for August, 2010
Microsoft’s Bing team announced on their blog that that the Bing search engine is “powering Yahoo!’s search results” in the US and Canada for English queries. Yahoo also has a post on their Yahoo! Search Blog.
The San Jose Mercury News reports:
“Tuesday, nearly 13 months after Yahoo and Microsoft announced plans to collaborate on Internet search in hopes of challenging Google’s market dominance, the two companies announced that the results of all Yahoo English language searches made in the United States and Canada are coming from Microsoft’s Bing search engine. The two companies are still racing to complete the transition of paid search, the text advertising links that run beside and above the standard search results, before the make-or-break holiday period — a much more difficult task.”
Combining the traffic from Microsoft and Yahoo will give the Bing a more significant share of the Web search market. That should help them by providing both companies with a larger stream of search related data that can be exploited to improve search relevance, ad placement and trend spotting. It will also help to foster competition with Google focused on developing better search technology.
Hopefully, Bing will be able to benefit from the good work done at Yahoo! on adding more semantics to Web search.
Middle-earth dictionary attack
Here’s a new one for the DIY movement.
Amazingly, they were able to install the game on a Sequoia AVC Edge touch-screen DRE (direct-recording electronic) voting machine without breaking the original tamper-evident seals.
Here’s how they describe what they did on Haldeman’s web site:
“What is the Sequoia AVC Edge?
It’s a touch-screen DRE (direct-recording electronic) voting machine. Like all DREs, it stores votes in a computer memory. In 2008, the AVC Edge was used in 161 jurisdictions with almost 9 million registered voters, including large parts of Louisiana, Missouri, Nevada, and Virginia, according to Verified Voting.
What’s inside the AVC Edge?
It has a 486 SLE processor and 32 MB of RAM—similar specs to a 20-year-old PC. The election software is stored on an internal CompactFlash memory card. Modifying it is as simple as removing the card and inserting it into a PC.
Wouldn’t seals expose any tampering?
We received the machine with the original tamper-evident seals intact. The software can be replaced without breaking any of these seals, simply by removing screws and opening the case.
How did you reprogram the machine?
The original election software used the psOS+ embedded operating system. We reformatted the memory card to boot DOS instead. (Update: Yes, it can also run Linux.) Challenges included remembering how to write a config.sys file and getting software to run without logical block addressing or a math coprocessor. The entire process took three afternoons.”
You can find out more from the presentation slides from the EVT workshop, Practical AVC-Edge CompactFlash Modifications can Amuse Nerds. They sum up their study with the following conclusion.
“In conclusion, we feel our work represents the future of DREs. Now that we know how bad their security is, thousands of DREs will be decommissioned and sold by states over the next several years. Filling our landfills with these machines would be a terrible waste. Fortunately, they can be recycled as arcade machines, providing countless hours of amusement in the basements of the nations’ nerds.”
Some online sites let you use any old five-character string as your password for as long as you like. Others force you to pick a new password every six months and it has to match a complicated set of requirements — at least eight characters, mixed case, containing digits, letters, punctuation and at least one umlaut. Also, it better not contain any substrings that are legal Scrabble words or match any past password you’ve used since the Bush 41 administration.
A recent paper by two researchers from Microsoft concludes that an organization’s usability requirements is the main factor that determines the complexity of its password policy.
We examine the password policies of 75 different websites. Our goal is understand the enormous diversity of requirements: some will accept simple six-character passwords, while others impose rules of great complexity on their users. We compare different features of the sites to find which characteristics are correlated with stronger policies. Our results are surprising: greater security demands do not appear to be a factor. The size of the site, the number of users, the value of the assets protected and the frequency of attacks show no correlation with strength. In fact we find the reverse: some of the largest, most attacked sites with greatest assets allow relatively weak passwords. Instead, we find that those sites that accept advertising, purchase sponsored links and where the user has a choice show strong inverse correlation with strength.
We conclude that the sites with the most restrictive password policies do not have greater security concerns, they are simply better insulated from the consequences of poor usability. Online retailers and sites that sell advertising must compete vigorously for users and traffic. In contrast to government and university sites, poor usability is a luxury they cannot afford. This in turn suggests that much of the extra strength demanded by the more restrictive policies is superfluous: it causes considerable inconvenience for negligible security improvement.
h/t Bruce Schneier
Privacy continues to be an important topic surrounding social media systems. A big part of the problem is that virtually all of us have a difficult time thinking about what information about us is exposed and to whom and for how long. As UMBC colleague Zeynep Tufekci points out, our intuitions in such matters come from experiences in the physical world, a place whose physics differs considerably from the cyber world.
Bruce Schneier offered a taxonomy of social networking data in a short article in the July/August issue of the IEEE Security & Privacy. A version of the article, A Taxonomy of Social Networking Data, is available on his site.
“Below is my taxonomy of social networking data, which I first presented at the Internet Governance Forum meeting last November, and again — revised — at an OECD workshop on the role of Internet intermediaries in June.
- Service data is the data you give to a social networking site in order to use it. Such data might include your legal name, your age, and your credit-card number.
- Disclosed data is what you post on your own pages: blog entries, photographs, messages, comments, and so on.
- Entrusted data is what you post on other people’s pages. It’s basically the same stuff as disclosed data, but the difference is that you don’t have control over the data once you post it — another user does.
- Incidental data is what other people post about you: a paragraph about you that someone else writes, a picture of you that someone else takes and posts. Again, it’s basically the same stuff as disclosed data, but the difference is that you don’t have control over it, and you didn’t create it in the first place.
- Behavioral data is data the site collects about your habits by recording what you do and who you do it with. It might include games you play, topics you write about, news articles you access (and what that says about your political leanings), and so on.
- Derived data is data about you that is derived from all the other data. For example, if 80 percent of your friends self-identify as gay, you’re likely gay yourself.”
Having a simple ontology for social media data could help us move forward toward better privacy controls for online social media systems. I like Schneier’s broad categories and wonder what a more complete treatment defined using Semantic Web languages might be like.
Researchers naturally are interested in knowing how to attract more citations to their papers. Publishing the results of good work helps of course, but everyone knows there are many other factors. Nature news reports on research by Gregory Webster that analyzed the 53,894 articles and review articles published in Science between 1901 and 2000.
The advice the study supports is “cite and you shall be cited”.
A long reference list at the end of a research paper may be the key to ensuring that it is well cited, according to an analysis of 100 years’ worth of papers published in the journal Science.
The research suggests that scientists who reference the work of their peers are more likely to find their own work referenced in turn, and the effect is on the rise, with a single extra reference in an article now producing, on average, a whole additional citation for the referencing paper.
’There is a ridiculously strong relationship between the number of citations a paper receives and its number of references,” Gregory Webster, the psychologist at the University of Florida in Gainesville who conducted the research, told Nature. “If you want to get more cited, the answer could be to cite more people.’
A plot of the number of references listed in each article against the number of citations it eventually received reveal that almost half of the variation in citation rates among the Science papers can be attributed to the number of references that they include. And — contrary to what people might predict — the relationship is not driven by review articles, which could be expected, on average, to be heavier on references and to garner more citations than standard papers.
Washington Technology, which describes itself as “the online authority for government contractors and partners”), has an article by Carlos A. Soto on 5 technologies that will change the market. They are:
- Search and the Semantic Web
- Search and the Semantic Web
- Virtualization and cloud computing
- Virtualization and cloud computing
These are reasonable choices, thought I’ve have not done the double counting and added “machine learning applied to the massive amounts of Web data now available” and “social computing”.
But it’s gratifying to see the Semantic Web in the list. Here’s some of what he he has to say about search and the Semantic Web.
The relationship between search technology and the Semantic Web is a perfect illustration of how a small sustaining technology, such as a basic search feature on an operating system, will eventually be eaten up by a larger disruptive technology, such as the Semantic Web. The Semantic Web has the potential of acting like a red giant star by expanding at exponential rates, swallowing whole planets of existing technology in the process.
The technology started as a simple group of secure, trusted, linked data stores. Now Semantic Web technologies enable people to create data stores on the Web and then build vocabularies or write rules for handling the data. Because all the data by definition is trusted, security is often less of a problem.
The task of turning the World Wide Web into a giant dynamic database is causing a shift among traditional search engines because products such as Apture, by Apture Inc. of San Francisco, Calif., let content publishers include pop-up definitions, images or data whenever a user scrolls over a word on a Web site. The ability to categorize content in this manner could have significant implications not only for Web searches but also for corporate intranets and your desktop PC.
These types of products will continue to expand, initially in the publishing industry and then to most industries on the Web in the next two to three years.
For example, human resources sites could use them to pop up a picture and a résumé blip when a recruiter drags a mouse over an applicant’s name. Medical and financial sites such as the National Institutes of Health could use it to break down jargon and help with site exploration.
Government sites around the world, such as Zaragoza, Spain, and medical facilities, such as the Cleveland Medical Clinic, are using the vocabulary features of the Semantic Web to create search engines that reach across complex jargon and tech silos to offer a high degree of automation, full integration with external systems and various terminologies, in addition to the ability to accurately answer users’ queries.
University of Texas at Dallas AISL researchers have released software tools designed to facilitate cloud computing. “In order to use electricity, we do not maintain electricity generators at home, instead we get the electricity on demand from the grid when we need it,” says UTD Cyber Security Research Center director and AISL project CO-PI Bhavani Thuraisingham. Read the full story here
The first release of the UT Dallas team’s cloud-computing resources
feature a repository consisting of a collection of tools that provide secure query processing capabilities, preventing unauthorized access to sensitive data. Tools are also being developed to add security to data storage services by storing sensitive data in encrypted format.