Exploration of Network Security Information Hid in Web Pages Based on Immunology

Abstract

To discover information endangering network security, an exploration method of network security information based on immunology is proposed. Antibody and antigen in biological immune system are used to denote keywords hid in HTML pages. Proposed method generates new antibodies to recognize unknown keywords through immune rules. By mechanisms of self-learning and evolution, antibody families form to represent distribution of different network security information. All antibodies in the same family are totalized to evaluate the information distribution degree. Simulation experiments show that the proposed method is able to find useful information threatening network and improve the intelligent degree of evaluating security of Web information.