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The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Classification, testing and optimization of intrusion detection systems
Author: Leon, Javier
View Online: njit-etd2006-059
(xi, 90 pages ~ 9.1 MB pdf)
Department: Department of Electrical and Computer Engineering
Degree: Master of Science
Program: Computer Engineering
Document Type: Thesis
Advisory Committee: Manikopoulos, Constantine N. (Committee chair)
Statica, Robert (Committee member)
Hu, Jie (Committee member)
Date: 2006-05
Keywords: Intrusion detection technology
Intrusion detection classification
Intrusion detection optimization
Availability: Unrestricted
Abstract:

Modem network security products vary greatly in their underlying technology and architecture. Since the introduction of intrusion detection decades ago, intrusion detection technologies have continued to evolve rapidly. This rapid change has led to the introduction of a wealth of security devices, technologies and algorithms that perform functions originally associated with intrusion detection systems.

This thesis offers an analysis of intrusion detection technologies, proposing a new classification system for intrusion detection systems. Working closely with the development of a new intrusion detection product, this thesis introduces a method of testing related technologies in a production environment by outlining and executing a series of denial of service and scan and probe attacks. Based on the findings of these experiments, a series of enhancements to the core intrusion detection product is introduced to improve its capabilities and adapt to modem needs of security products.


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