Genetic Algorithm with Variable Length Chromosomes for Network Intrusion Detection

Genetic algorithm(GA) has received significant attention for the design and implementation of intrusion detection systems. In this paper, it is proposed to use variable length chromosomes(VLCs) in a GA-based network intrusion detection system.Fewer chromosomes with relevant features are used for rule generation. An effective fitness function is used to define the fitness of each rule. Each chromosome will have one or more rules in it. As each chromosome is a complete solution to the problem, fewer chromosomes are sufficient for effective intrusion detection. This reduces the computational time. The proposed approach is tested using Defense Advanced Research Project Agency(DARPA) 1998 data. The experimental results show that the proposed approach is efficient in network intrusion detection.

变长染色体遗传算法在演化硬件中的应用

本文介绍了可变长染色体遗传算法以及该算法在演化硬件中的应用 ,并通过仿真实验 ,验证了该算法在演化逻辑组合电路上的可行性。

一个新的研究领域──演化硬件

演化硬件的概念最初是由HugodeGaris于1992年提出的。硬件演化的目的在于使硬件系统能够像生物一样改变其自身的结构以适应环境的变化。本文首先给出演化硬件的定义，继而介绍演化硬件的物质基础──可编程专用集成电路和演化硬件的理论基础──演化算法。进而研究实现硬件演化的方法，最后讨论演化硬件的发展前景。