Titlebook: Recent Advances in Intrusion Detection; 12th International S Engin Kirda,Somesh Jha,Davide Balzarotti Conference proceedings 2009 Springer-

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Foment

Automatic Software Instrumentation for the Detection of Non-control-data Attackstem calls depend on and which constraints these sets must verify at runtime. We have implemented our approach using a static analysis framework called . and we present the results of experimentations on a vulnerable version of ..

Rustproof

0302-9743 Intrusion Detection systems (RAID 2009),which took place in Saint-Malo,France, during September 23–25. As in the past, the symposium brought together leading - searchers and practitioners from academia, government, and industry to discuss intrusion detection research and practice. There were six mai

ABHOR

Estimable

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demote

Malware Behavioral Detection by Attribute-Automata Using Abstraction from Platform and Languageto define a generic approach for behavioral detection based on two layers respectively responsible for abstraction and detection. The abstraction layer is specific to a platform and a language. It interprets the collected instructions, API calls and arguments and classifies these operations, as well

著名

Automatic Generation of String Signatures for Malware Detectionsizes. One solution to this problem is to use ., each of which is a contiguous byte sequence that potentially can match many variants of a malware family. However, it is not clear how to automatically generate these string signatures with a sufficiently low false positive rate. Hancock is the first

harpsichord

PE-Miner: Mining Structural Information to Detect Malicious Executables in RealtimeE) to detect zero-day (i.e. previously unknown) malware. The distinguishing features are extracted using the structural information standardized by the Microsoft Windows operating system for executables, DLLs and object files. We follow a threefold research methodology: (1) identify a set of structu

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