A Combination of Artificial Neural Network and Artificial Immune System for Virus Detection

  • Mai Trong Khang University of Information Technology, Ho Chi Minh city
  • Vu Thanh Nguyen University of Information Technology, Ho Chi Minh City
  • Tuan Dinh Le Long An University of Economics and Industry
DOI: https://doi.org/10.21553/rev-jec.133

Abstract

In this paper, we propose an Artificial Neural Immune Network (ANIN) for virus detection. ANIN is a combination of Artificial Neural Network (ANN) and Artificial Immune Network (AiNet). In ANIN, each ANN is considered as a detector. A pool of initial detectors then undergoes a mature process, called AiNet, to improve its recognizing ability. Thus, more than one ANN objects can cooperate to detect malicious code. The experimental results show that ANIN can achieve a detection rate of 87.98% on average with an acceptable false positive rate.
Published
2016-09-22
Issue
Vol. 5, No. 3-4 (Jul-Dec, 2015)
Section
Regular articles
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