Comparative Study of Biological Models of Artificial Immune System for Network Security

Abstract

Internet is a worldwide linking device network that provides a wide range of data. People use devices such as desktops, laptops, smart phones, tablets, etc. to communicate, find data, share assets, access content internet. The Internet facilitates our lives, but it also raises the danger of illegal operation or violence. When given network security, the entire network requires to be protected. Network security at each stage of the communication should be concerned not only with safety, but also with network infrastructure. On the other hand we considered self-organizing network which is a better approach than traditional network. These models facilitate the dynamic networking and out perform traditional methods. Artificial Immune System motivated from the immune systems work to defend against abnormal behaviors has inspired the computer systems to defend against the intruders. One of the ability of the AIS is distinguishing insiders and outsiders i.e what is self and non self. In this paper we have elaborated the different biological immune system theories and compared different theories of Artificial Immune Systems and explained about the proposed work bio-inspired from one of these theories.