Malicious code detection based on CNNs and multi-objective algorithm-Reference-Cited by-同舟云学术

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Malicious code detection based on CNNs and multi-objective algorithm

Published:2019-07 Issue: Volume:129 Page:50-58
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Cui Zhihua,Du Lei,Wang Penghong,Cai Xingjuan,Zhang Wensheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanxi Province, China

Scientific and Technological innovation Team of Shanxi Province, China

PhD Research Startup Foundation of Taiyuan University of Science and Technology, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference50 articles.

1. Existence and stability of anti-periodic solutions for FCNNs with time-varying delays and impulsive effects on time scales;Bao;Int. J. Comput. Sci. Math.,2018

2. A rule generation algorithm from neural network using classified and misclassified data;Biswas;Int. J. Bio-Inspired Comput.,2018

3. Improved bat algorithm with optimal forage strategy and random disturbance strategy;Cai;Int. J. Bio-Inspired Comput.,2016

4. Bat algorithm with triangle-flipping strategy for numerical optimization;Cai;Int. J. Mach. Learn. Cybern.,2018

5. Improving computer security using extended static checking;Chess,2002

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