Small-world networks have become an important model for understanding many complex phenomena in science and in sociological contexts. One tool for exploring the critical and phase...
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Heavyweight security analysis systems, such as taint analysis and dynamic type checking, are powerful technologies used to detect security vulnerabilities and software bugs. Tradi...
Joseph L. Greathouse, Ilya Wagner, David A. Ramos,...
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Modern distributed information systems cope with disconnection and limited bandwidth by using caches. In communicationconstrained situations, traditional demand-driven approaches ...
Mitch Cherniack, Eduardo F. Galvez, Michael J. Fra...