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Efficient, context-sensitive detection of real-world semantic attacks
2010
Proceedings of the 5th ACM SIGPLAN Workshop on Programming Languages and Analysis for Security - PLAS '10
Software developers are increasingly choosing memory-safe languages. As a result, semantic vulnerabilities-omitted security checks, misconfigured security policies, and other software design errors-are supplanting memory-corruption exploits as the primary cause of security violations. Semantic attacks are difficult to detect because they violate program semantics, rather than language semantics. This paper presents PECAN, a new dynamic anomaly detector. PECAN identifies unusual program behavior
doi:10.1145/1814217.1814218
dblp:conf/pldi/BondSMS10
fatcat:zytihjnfcfbddiaeejuajurb3a