TY  - BOOK
AU  - Amira Sayed Abdelaziz Aly 
AU  - Aboulella Hassanien , 
AU  - Sanaa Elola Hanafi , 
TI  - Multiagent artificial immune system for network intrusion detection / 
PY  - 2014///
CY  - Cairo : 
PB  - Amira Sayed Abdelaziz Aly , 
KW  - Artificial immune systems
KW  - Multiagent artificial immune system
KW  - Network intrusion detection
N1  - Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information  - Department of Information Technology; Issued also as CD
N2  - With the expanding and increasing use of networks and accumulating number of inter- net users, network throughput has become massive and threats are more diverse and sophisticated. Network and information security are of high importance, and research is continuous in these {uFB01}elds to keep up with the increasing complexity of attacks. Intrusion Detection is a major research area that aims to identify suspicious activities in a moni- tored system, from authorized and unauthorized users, by monitoring and analyzing the system activities. In this thesis, a multi-agent network intrusion detection system is implemented, inspired by a biological immunity technique called the Negative Selection Approach. The system detects network tra{uFB03}c anomalies using detectors generated by a genetic algorithm with deterministic crowding Niching technique. As it is inspired by the negative selection mechanism of the immune system, it can detect foreign patterns in the complement (non-self) space
UR  - http://172.23.153.220/th.pdf
ER  -