Detection of zero‐day attacks in computer networks using combined classification-Reference-Cited by-同舟云学术

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Detection of zero‐day attacks in computer networks using combined classification

Published:2022-09-06 Issue:27 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Gavari Bami Hamid¹,Moharamkhani Elaheh²^ORCID,Zadmehr Behrouz³,Najafpoor Vahid⁴,Shokouhifar Mohammad⁵^ORCID

Affiliation:

1. Department of Computer Engineering, Science and Research Branch Isalamic Azad Uuniversity Kerman Iran

2. Department of Computer Engineering Institute of Higher Education Saeb Abhar Iran

3. Amirkabir University of Technology Tehran Iran

4. Department of Electrical and Computer Engineering Urmia University Urmia Iran

5. Department of Electrical and Computer Engineering Shahid Beheshti University Tehran Iran

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7312

Reference36 articles.

1. Detecting System Intrusions

2. GandotraE BansalD SofatS.Zero‐day malware detection. Proceedings of the 2016 Sixth International Symposium on Embedded Computing and System Design (ISED);2016:171‐175; IEEE.

3. Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

4. HeZ MiariT MakraniHM AliasgariM HomayounH SayadiH.When machine learning meets hardware cybersecurity: delving into accurate zero‐day malware detection. Proceedings of the 2021 22nd International Symposium on Quality Electronic Design (ISQED);2021:85‐90; IEEE.

5. Multi-view deep learning for zero-day Android malware detection

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Study of Zero-Day Attacks;September 2023;2023-09

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