WPMSD: A Malicious Script Detection Method Inspired by the Process of Immunoglobulin Secretion

DOI

10.2991/ijcis.2011.4.5.5How to use a DOI?

Keywords

malicious script detection; false alarm rate; immunoglobulin secretion; artificial immune system.

Abstract

Inspired by the process of immunoglobulin secretion in biological body, we present a Web Page Malicious Script Detection Method (WPMSD). In this paper, Firstly, the basic definitions of artificial immune items are given. Secondly, according to the spreading range of malicious script, the immunoglobulin number is changed as the detector clone proliferation is stimulated by malicious scripts. Further more, the nonlinear dynamics of antibody number is discussed. Thirdly, we propose a probability approach to trigger alarms to inform that the detected scripts are harmful. Finally, the WPMSD collects the effective immunoglobulin set based on Hidden Markov Model (HMM) to update the detector gene library. Compared with the traditional immune based detection methods, such as Negative Selection Algorithm (NSA), Dynamic Colonel Selection (DynamiCS), and Variable size Detector (Vdetector), the false alarm rate of WPMSD has been reduced by 18.09%, 12.6%, and 7.47% respectively.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Hui Zhao
AU  - Wen Chen
AU  - Jie Zeng
AU  - Yuanquan Shi
AU  - Jian Qin
PY  - 2011
DA  - 2011/09/01
TI  - WPMSD: A Malicious Script Detection Method Inspired by the Process of Immunoglobulin Secretion
JO  - International Journal of Computational Intelligence Systems
SP  - 788
EP  - 796
VL  - 4
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.5.5
DO  - 10.2991/ijcis.2011.4.5.5
ID  - Zhao2011
ER  -