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A Combination of Clonal Selection Algorithm and Artificial Neural Networks for Virus Detection

  • Vu Thanh Nguyen
  • Nguyen Phuong Anh
  • Mai Trong Khang
  • Nguyen Hoang Ngan
  • Nguyen Quoc Thai
  • Nguyen Trong Quoc
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 279)

Abstract

In this paper, we proposed a new approach using bio-inspired algorithms such as Clonal Selection Algorithm (CLONALG) and Artificial Neural Networks (ANNs) which aims to handle virus detection problem. The point of difference is using ANNs as the detectors and CLONALG as the algorithm for finding the best ANN’s structure and weights. According to experimental results, the proposed model has an acceptable detection rate and false positive rate.

Keywords

Artificial Immune System (AIS) Artificial Neural Network (ANN) Clonal Selection Algorithm (CLONALG) Virus Detection System (VDS) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Vu Thanh Nguyen
    • 1
  • Nguyen Phuong Anh
    • 1
  • Mai Trong Khang
    • 1
  • Nguyen Hoang Ngan
    • 1
  • Nguyen Quoc Thai
    • 1
  • Nguyen Trong Quoc
    • 1
  1. 1.University of Information TechnologyVietnam National UniversityHCM CityVietnam

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