Amira Sayed Abdelaziz Aly  <br/><br/>
Multiagent artificial immune system for network intrusion detection /  
 نظام اصطناعي مؤمن متعدد الوكلاء لاكتشاف اختراق الشبكات  
Amira Sayed Abdelaziz Aly ; Supervised Sanaa Elola Hanafi  , Aboulella Hassanien  
 - Cairo :   Amira Sayed Abdelaziz Aly ,   2014 
 - 120 Leaves :   facsimiles ;   30cm 
<br/><br/>Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information  - Department of Information Technology  
<br/><br/> 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 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 trac 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 
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<br/><br/><label>Subjects--Index Terms: </label>Artificial immune systems Multiagent artificial immune system Network intrusion detection