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» Novel Attack Detection Using Fuzzy Logic and Data Mining
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CSREASAM
2006
13 years 6 months ago
Novel Attack Detection Using Fuzzy Logic and Data Mining
: - Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffect...
Norbik Bashah Idris, Bharanidharan Shanmugam
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
13 years 11 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
CIT
2006
Springer
13 years 8 months ago
Fuzzy data mining for customer loyalty analysis
One of the major conceptual analyses in analytical CRM is customer loyalty. Current methods use user defined and statistical methods for loyalty analysis. One of the major limitat...
Jay B. Simha, S. S. Iyengar
JIPS
2010
195views more  JIPS 2010»
12 years 11 months ago
Distributed and Scalable Intrusion Detection System Based on Agents and Intelligent Techniques
Abstract--The Internet explosion and the increase in crucial web applications such as ebanking and e-commerce, make essential the need for network security tools. One of such tools...
Aly M. El-Semary, Mostafa Gadal-Haqq M. Mostafa
ICC
2007
IEEE
13 years 11 months ago
Preventing ARP Attacks Using a Fuzzy-Based Stateful ARP Cache
— ARP cache poisoning is considered to be one of the easiest and dangerous attacks in local area networks. This paper proposes a solution to the ARP poisoning problem by extendin...
Zouheir Trabelsi, Wasim El-Hajj