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Proceedings ArticleDOI

An Intrusion-Detection Model

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TLDR
A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described, based on the hypothesis that security violations can be detected by monitoring a system's audit records for abnormal patterns of system usage.
Abstract
A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described. The model is based on the hypothesis that security violations can be detected by monitoring a system's audit records for abnormal patterns of system usage. The model includes profiles for representing the behavior of subjects with respect to objects in terms of metrics and statistical models, and rules for acquiring knowledge about this behavior from audit records and for detecting anomalous behavior. The model is independent of any particular system, application environment, system vulnerability, or type of intrusion, thereby providing a framework for a general-purpose intrusion-detection expert system.

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Citations
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The Rule Based Intrusion Detection Model for User Behavior

TL;DR: The model periodically collect the log and BIDS detector to detect normal or abnormal activity and stores rules for intrusion in the rule engine of the system.
Dissertation

Contextual Profiling of Homogeneous User Groups for Masquerade Detection

TL;DR: Group profiling methods are evaluated as a contextual means to detect internal threats, specifically masquerade attacks and a framework used for masquerade detection research is derived.
Proceedings ArticleDOI

Intruders and intrusion detection systems — An overview

TL;DR: In an unending war between parallel advancements in technologies and evolutions of intruders, an intrusion detection system is always needed that works at each layer of TCP/IP protocol stack and covers entire spectrum of threats.
Proceedings ArticleDOI

Distributed detection of network intrusions based on a parametric model

TL;DR: This paper presents a framework for distributed detection of network intrusions based on a parametric model that can explicitly reflect the distributions of different intrusion types and handle the mixed-attribute data naturally.