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Program Anomaly Detection
2016
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security - CCS'16
This tutorial will present an overview of program anomaly detection, which analyzes normal program behaviors and discovers aberrant executions caused by attacks, misconfigurations, program bugs, and unusual usage patterns. It was first introduced as an analogy between intrusion detection for programs and the immune mechanism in biology. Advanced models have been developed in the last decade and comprehensive techniques have been adopted such as hidden Markov model and machine learning. We will
doi:10.1145/2976749.2976750
dblp:conf/ccs/ShuY16
fatcat:yaihukb5s5dzjlj6rjrwxspdd4