Document Type
Thesis
Date of Award
Fall 2002
Degree Name
Master of Science in Computer Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Constantine N. Manikopoulos
Second Advisor
Yun Q. Shi
Third Advisor
George Antoniou
Abstract
In today's fast paced computing world security is a main concern. Intrusion detection systems are an important component of defensive measures protecting computer systems and networks from abuse. This paper will examine various intrusion detection systems. The task of intrusion detection is to monitor usage of a system and detect and malicious activity, therefore, the architecture is a key component when studying intrusion detection systems. This thesis will also analyze various neural networks for statistical anomaly intrusion detection systems. The thesis will focus on the Hierarchical Intrusion Detection system (HIDE) architecture. The HIDE system detects network based attack as anomalies using statistical preprocessing and neural network classification. The thesis will conclude with studies conducted on the HIDE architecture. The studies conducted on the HIDE architecture indicate how the hierarchical multi-tier anomaly intrusion detection system is an effective one.
Recommended Citation
Bajaj, Ratna, "Introduction on intrusion detection systems : focus on hierarchical analysis" (2002). Theses. 680.
https://digitalcommons.njit.edu/theses/680
