Design and Performance Analysis of an Anti-Malware System Based on Generative Adversarial Network Framework-Reference-Cited by-同舟云学术

Design and Performance Analysis of an Anti-Malware System Based on Generative Adversarial Network Framework

Published:2024 Issue: Volume:12 Page:27683-27708
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Faiza Babar¹^ORCID,Durad Muhammad Hanif¹^ORCID,Khan Asifullah²^ORCID,Khan Farrukh Aslam³^ORCID,Rizwan Muhammad¹^ORCID,Ali Aftab⁴^ORCID

Affiliation:

1. Department of Computer and Information Sciences (DCIS), CIPMA Laboratory, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan

2. Department of Computer and Information Sciences (DCIS), Pattern Recognition Laboratory, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan

3. PIEAS Artificial Intelligence Center (PAIC), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan

4. School of Computing, Ulster University, Belfast, U.K

Funder

Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia

Information Technology & Telecom (IT&T) Endowment Fund Pakistan Institute of Engineering and Applied Sciences (PIEAS), Higher Education Commission of Pakistan

National Center in Cyber Security, Pakistan, through the Critical Infrastructure Protection and Malware Analysis Laboratory, PIEAS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10414101.pdf?arnumber=10414101

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