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Abstract: Computer security is defined as the protection of computing systems against threats to confidentiality, integrity, and availability. There are two types of intruders: the external intruders who are unauthorized users of the machines they attack, and internal intruders, who have permission to access the system with some restrictions. Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security, and yet it... (Update)
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BibTeX entry: (Update)
@misc{ mukkamala-designing,
author = "Srinivas Mukkamala and Andrew Sung and Ajith Abraham",
title = "Designing Intrusion Detection Systems: Architectures, Challenges and Perspectives",
url = "citeseer.ist.psu.edu/730941.html" }
Citations (may not include all citations):1056 Introduction to the Theory of Neural Computation (context) - Hertz, Krogh et al. - 1991
273 Multivariate Adaptive Regression Splines (context) - Friedman - 1991
268 Making Large-Scale SVM Learning Practical - Joachims - 1998
237 A direct adaptive method for faster back propagation learnin.. - Riedmiller, Braun - 1993
139 Knowledge Discovery in Databases: An Overview - Frawley, Piatetsky-Shapiro et al. - 1992
121 An Intrusion-Detection Model (context) - Denning - 1987
81 Genetic Programming: An Introduction on the Automatic Evolut.. (context) - Nordin, Keller et al. - 1998
58 A pattern matching model for misuse intrusion detection - Kumar, Spafford - 1994
37 An Application of Pattern Matching in Intrusion Detection - Kumar, Spafford - 1994
37 Defending a Computer System Using Autonomous Agents - Crosbie, Spafford - 1995
35 A Database of Computer Attacks for the Evaluation of Intrusi.. - Kendall - 1998
34 A Neural Network Component for an Intrusion Detection System (context) - Debar, Becke et al. - 1992
22 Roles of Soft Computing and Fuzzy Logic in the Conception (context) - Zadeh
18 A Framework for Constructing Features and Models for Intrusi.. - Lee, Stolfo - 2000
13 Mining Fuzzy Association Rules and Fuzzy Frequency Episodes .. (context) - Jianxiong, Bridges - 2000
12 Artificial Neural Networks for Misuse Detection - Cannady - 1998
9 A real time Intrusion Detection Expert System (IDES) - Final.. (context) - Lunt, Tamaru et al. - 1992
9 Agent-Based Distributed Learning Applied to Fraud Detection - Prodromidis, Stolfo - 1999
8 Intrusion Detection Using Neural Networks and Support Vector.. (context) - Mukkamala, Janowski et al. - 2001
8 Immunity --Based Intrusion Detection System: A general Frame.. (context) - Dasgupta - 1999
6 SVMlight is an Implementation of Support Vector Machines (context) - Joachims - 2000
5 Cost-based Modeling and Evaluation for Data Mining With Appl.. (context) - Stolfo, Fan et al. - 2000
5 Lightweight Agents for Intrusion Detection - Helmer, Wong et al. - 2003
3 MARS User Guide (context) - Steinberg, Colla et al. - 1999
2 Feature Selection for Intrusion Detection Using Neural Netwo.. (context) - Mukkamala, Sung - 2003
2 Detecting Unusual Program Behavior Using the Stastistical Co.. (context) - Anderson, Lunt et al. - 1995
2 The Nature of Statistical Learning Theory. Springer-Verlag (context) - Vapnik - 1995
1 Learning Rules and Clusters for Anomaly Detection in Network.. (context) - Chan, Mahoney - 2003
1 and Chan P (context) - Mahoney - 2003
1 Event Monitoring Enabling Responses to Anomalous Live Distur.. (context) - Porras, Neumann - 1997
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