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VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 6 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
JIPS
2010
195views more  JIPS 2010»
13 years 1 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
SIGMOD
2001
ACM
166views Database» more  SIGMOD 2001»
14 years 6 months ago
ADAM: A Testbed for Exploring the Use of Data Mining in Intrusion Detection
Intrusion detection systems have traditionally been based on the characterization of an attack and the tracking of the activity on the system to see if it matches that characteriz...
Daniel Barbará, Julia Couto, Sushil Jajodia, Ning...
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 6 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
TSMC
2002
134views more  TSMC 2002»
13 years 6 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho