Intrusion Detection via Static Analysis

Intrusion Detection via Static Analysis (2001)

by David Wagner , Drew Dean

Citations:

245 - 1 self

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Datum	Value	Source
TITLE	Intrusion Detection via Static Analysis	user correction - Legacy Corrections
AUTHOR NAME	David Wagner	SVM HeaderParse 0.1
AUTHOR AFFIL	U.C. Berkeley	SVM HeaderParse 0.2
AUTHOR NAME	Drew Dean	SVM HeaderParse 0.1
ABSTRACT	One of the primary challenges in intrusion detection is modelling typical application behavior, so that we can recognize attacks by their atypical effects without raising too many false alarms. We show how static analysis may be used to automatically derive a model of application behavior. The result is a host-based intrusion detection system with three advantages: a high degree of automation, protection against a broad class of attacks based on corrupted code, and the elimination of false alarms. We report on our experience with a prototype implementation of this technique. 1. Introduction Computer security has undergone a major renaissance in the last five years. Beginning with Sun's introduction of the Java language and its support of mobile code in 1995, programming languages have been a major focus of security research. Many papers have been published applying programming language theory to protection problems [25, 24], especially information flow [17]. Security, however, is a ma...	user correction - Legacy Corrections
YEAR	2001	user correction - Legacy Corrections
CITATIONS	13 found	ParsCit 1.0