Can genetic algorithms help virus writers reshape their creations and avoid detection?-Reference-Cited by-同舟云学术

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Can genetic algorithms help virus writers reshape their creations and avoid detection?

Published:2017-07-19 Issue:6 Volume:29 Page:1297-1310
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Abu Doush Iyad¹²,Al-Saleh Mohammed I.³

Affiliation:

1. Computer Science Department, Yarmouk University, Irbid, Jordan.

2. Computer Science and Information Systems Department, American University of Kuwait, Salmiya, Kuwait.

3. Computer Science Department, Jordan University of Science and Technology, Irbid, Jordan.

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2017.1354078

Reference46 articles.

1. Harmony Search with Multi-Parent Crossover for Solving IEEE-CEC2011 Competition Problems

2. Identifying malicious activities from system execution traces

3. Novel selection schemes for harmony search

4. Antivirus performance characterisation: system‐wide view

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