Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
Michael E. Locasto, Angelos Stavrou, Angelos D. Ke...
Corruption or disclosure of sensitive user documents can be among the most lasting and costly effects of malicious software attacks. Many malicious programs specifically target fi...
Despite huge efforts by software providers, software protection mechanisms are still broken on a regular basis. Due to the current distribution model, an attack against one copy o...
Bertrand Anckaert, Mariusz H. Jakubowski, Ramarath...
Cooperative frameworks for intrusion detection and response exemplify a key area of today’s computer research: automating defenses against malicious attacks that increasingly ar...