Drive-by download attacks are among the most common methods for spreading malware today. These attacks typically exploit memory corruption vulnerabilities in web browsers and brows...
Manuel Egele, Peter Wurzinger, Christopher Kruegel...
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Ly...
With traditional testing, the test case has no control over non-deterministic scheduling decisions, and thus errors dependent on scheduling are only found by pure chance. Java Pat...
Accuracy and speed are the two most important metrics for Network Intrusion Detection/Prevention Systems (NIDS/NIPSes). Due to emerging polymorphic attacks and the fact that in ma...
Zhichun Li, Gao Xia, Hongyu Gao, Yi Tang, Yan Chen...
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...