Artificial immune algorithms

Intrusion Detection (ID) is one of the active branches in network security research field. Many technologies, such as neural networks, fuzzy logic and genetic algorithms have been applied in intrusion detection and the results are varied. In this thesis, an Artificial Immune System (AIS) based intrusion detection is explored. AIS is a bio-inspired computing paradigm that has been applied in many different areas including intrusion detection.

74p runthenight07 01-03-2023 8 2   Download

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.

26p larachdumlanat129 20-01-2021 32 5   Download

Since data representation is one of the factors that affect the training and testing time, a compact and complete detector generation algorithm is investigated; the thesis investigates optimal algorithms to generate detector set in AIS; they help to reduce both training time and detecting time of AIS-based IDSs.

103p larachdumlanat129 20-01-2021 18 4   Download