Research on Virus Detection Technology Based on Heuristic Model

DOI

10.2991/icadme-16.2016.97How to use a DOI?

Keywords

heuristic feature, virtual execution, PE file virus.

Abstract

First, the article introduces the definition and characteristics of computer virus, and the classification of computer virus. Then, it introduces the mainstream of virus detection technology, such as signature detection technology, checksum method, behavior detection technology and artificial immune technology, etc. Finally, the experiment verification proves the feasibility of heuristic virus detection model .Experimental results proves that the method has high detection efficiency, and in terms of detecting unknown viruses, this method has a relatively low rate of false positives and non-response rates. Under the premise of heuristic feature li-brary not being updated, static heuristic detection model can detect unknown viruses, winning the precious time for subsequent extracting signature.

Copyright

© 2016, 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  - CONF
AU  - Yuanyuan Wang
AU  - Shouzheng Li
AU  - Ye Yuan
AU  - Chao Liu
AU  - Weimiao Feng
AU  - Min Yu
PY  - 2017/07
DA  - 2017/07
TI  - Research on Virus Detection Technology Based on Heuristic Model
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 560
EP  - 564
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.97
DO  - 10.2991/icadme-16.2016.97
ID  - Wang2017/07
ER  -