It is impossible to find an optimal algorithm that can reduce time and memory complexities with best detection performance. These aspects are always in conflict with each other. Thus, in each chapter, we will propose algorithms to solve each problem quite independently. | MINISTRY OF EDUCATION VIETNAM ACADEMY AND TRAINING OF SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY OF SCIENCE AND TECHNOLOGY NGUYEN VAN TRUONG IMPROVING SOME ARTIFICIAL IMMUNE ALGORITHMS FOR NETWORK INTRUSION DETECTION Major Mathematical foundations for Informatics Code 62 46 01 10 SUMMARY OF THE DOCTORAL THESIS OF MATHEMATICS Hanoi 2019 Thesis is completed at Graduate University of Science and Technology - Vietnam Academy of Science and Technology. Supervisors 1. Assoc. Prof. Dr. Nguyen Xuan Hoai 2. Assoc. Prof. Dr. Luong Chi Mai Review 1 Review 2 Review 3 The thesis will be defended meeting at Graduate University of Science and Technology - Vietnam Academy of Science and Technology. At Thesis can be found at the library - National Library of Vietnam - Library of Graduate University Of Science And Technology 1 INTRODUCTION Motivation Internet users and computer networks are suffering from rapid increase in number of attacks. In order to keep them safe there is a need for effective security monitoring systems such as Intrusion Detection Systems IDS . However intrusion detection has to face a number of different problems such as huge network traffic volumes highly imbalanced data distribution the difficulty to realize decision boundaries between normal and abnormal behavior and a requirement for continuous adaptation to a constantly changing environment. As a result many researchers have attempted to use different type of approaches to build reliable intrusion detection system. One of the promising computational intelligence methods for intrusion detection that have emerged recently are artificial immune systems AIS inspired by the biological immune system. Negative selection algorithm NSA of AIS is widely used for intrusion detection systems IDS . Despite its successful application NSA has some weaknesses 1-High false positive rate and or false negative rate 2-High training and or testing time 3-Exponential relationship between the size of the training data and the
