"Analysis of Firewall Policy Rules Using Traffic Mining Techniques" Muhammad Abedin, Syeda Nessa, Latifur Khan, Ehab S. Al-Shaer, Mamoun Awad, International Journal of Internet Protocol Technology, Special Issue on: Recent Advances in Network Security Attacks and Defenses, Volume 5, Numbers 1-2, 9 April 2010, pp. 3-22 (20) Inderscience Publishers. 2010 - Publication
"Materializing and Persisting Inferred and Uncertain Knowledge in RDF Datasets" James McGlothlin and Latifur Khan In Proc. of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, Georgia, USA, July 2010. 2010 - Publication
"Secure Data Objects Replication in Data Grids" Manghui Tu, Peng Li, I-Ling Yen, Bhavani Thuraisingham, and Latifur Khan IEEE Transactions on Dependable and Secure Computing, January-March 2010, Vol. 7 No.1, page 50-64. (Full Paper) 2010 - Publication
"Caused Identification from Aviation Safety Reports via Weakly Supervised Semantic Lexicon Construction", Muhammad Abedin, Latifur Khan , Vincent Ng, Journal of Artificial Intelligence Research (JAIR) by AAAI press, 2010 Vol 38 (2010) Page 569-631 (Full Paper). 2010 - Publication
TweetHood: Agglomerative Clustering on Fuzzy k-Closest Friends with Variable Depth for Location Mining Satyen Abrol, Latifur Khan In Proc. of the Second IEEE International Conference on Social Computing (SocialCom-2010), Minneapolis, USA, August 20-22, 2010 (Nominated for best paper award) 2010 - Publication
Predicting WWW Surfing Using Multiple Evidence Combination Mamoun Awad, Latifur Khan, and Bhavani Thuraisingham To appear in The VLDB Journal: The International Journal on Very Large Databases, ACM/Springer-Verlag Publishing. 2009 - Publication
Privacy and Security Challenges in Geospatial Information Systems" Bhavani Thuraisingham, Latifur Khan, Ganesh Subbiah, Ashraful Alam and Murat Kantarcioglu To appear in Encyclopedia of Geographical Information Science, Editor: Shashi Shekhar and Hui Xiong Springer Verlag. 2009 - Publication
"Secure data objects replication in data grids" Manghui Tu, I-Ling Yen, Bhavani Thuraisingham, and Latifur Khan To appear in IEEE Transactions on Dependable and Secure Computing (DSC). 2009 - Publication
A Scalable Multi-level Feature Extraction Technique to Detect Malicious Executables Mohammad Masud, Latifur Khan, & Bhavani Thuraisingham To Appear in Information Systems Frontiers, Springer Netherlands, ISSN 1387-3326 (Print) 1572- 9419 (Online), DOI 10.1007/s10796-007-9054-3, A Special Issue of Secure Knowledge Management. 2009 - Publication
Standards for Image Annotation Using Semantic Web Latifur Khan Computer Standards and Interface Journal, Vol. 29, No. 2, Page 196-204, Elseiver Publishing, North Holland, (February 2007). 2007 - Publication
University of Texas at Dallas researchers will play an important part in a $7.5 million contract designed to produce greater communication among government agencies.
Part of the federal government’s highly competitive Multidisciplinary University Research Initiative (MURI), the five-year project is based on the premise that enhanced information security will persuade government workers to share information with one another more freely, confident that it won’t get into the wrong hands.
“Assured information sharing has been a problem for decades, but only after 9/11 has so much emphasis has been placed on it,” said Bhavani Thuraisingham, a professor of computer science and director of the Cyber Security Research Center in the Erik Jonsson School of Engineering and Computer Science at UT Dallas. “We now hear organizations such as the CIA and the FBI saying they wish they had better ways to share information, so we are developing improved approaches for managing, sharing and analyzing data, including geospatial data such as maps and images.”
Let’s say you’re looking for a one-bedroom apartment in northeast Dallas that has a grocery store, Catholic church and health club within walking distance, costs less than $800 a month and has both high-speed Internet access and a low crime rate.
Finding that dream apartment could take awhile right now. But technology under development by UT Dallas researchers aims to speed such a search, enabling people to find the perfect place today and move in tomorrow.Is that soon enough for you?
Whether you’ve just arrived to start studies at a university or you’re expected to start a new job on the other side of the country on Tuesday, there’s a good chance that sooner or later you’d make use of such technology. Which is why Latifur Khan and his team of graduate students at UT Dallas are working to provide options that take such Web searches to the next level.
Researchers from The University of Texas at Dallas and UT Southwestern Medical Center are investigating new ways to use old mobile phone technology to help first responders in developing countries reduce the time it takes to transport traffic accident victims to hospitals.
Part of the research involves using data collection methods to identify areas of large cities that are prone to traffic-related injuries but lack information to allocate limited resources optimally.
“We are assisting in the area of injury research,” said Dr. Dohyeong Kim
, associate professor of public policy and political economy and of geospatial information sciences in the School of Economic, Political and Policy Sciences
at UT Dallas. “We want to use traditional cellphone technology in wide use in these countries to provide more accurate accident location information to first responders.”