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Malware detection based on multi‐objective convolution restricted Boltzmann machine model and constraint‐dividing crossover strategy algorithm

  • Published:2022-04-20 Issue:19 Volume:34 Page:
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency and Computation

Author:

Cui Zhihua1ORCID,Zhao Yaru1,Liu Hao1,Wang Ling2,Fan Wenhui2

Affiliation:

1. School of Computer Science and Technology Taiyuan University of Science and Technology Taiyuan Shanxi China

2. Department of Automation Tsinghua University Beijing China

Funder

FP7 International Cooperation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference48 articles.

1. A machine learning framework for investigating data breaches based on semantic analysis of adversary’s attack patterns in threat intelligence repositories

2. Malware detection in industrial internet of things based on hybrid image visualization and deep learning model

3. A hybrid BlockChain‐based identity authentication scheme for multi‐WSN;Cui ZH;IEEE Trans Serv Comput,2020

4. DEAL: differentially private auction for blockchain based microgrids energy trading;Hassan M;IEEE Trans Serv Comput,2020

5. Differential Privacy Techniques for Cyber Physical Systems: A Survey

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