Network Intrusion Detection System (NIDS) Based on Pseudo-Siamese Stacked Autoencoders in Fog Computing-Reference-Cited by-同舟云学术

Network Intrusion Detection System (NIDS) Based on Pseudo-Siamese Stacked Autoencoders in Fog Computing

Published:2023-11 Issue:6 Volume:16 Page:4317-4327
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Tu Shanshan¹^ORCID,Waqas Muhammad²^ORCID,Badshah Akhtar³^ORCID,Yin Mingxi¹,Abbas Ghulam⁴^ORCID

Affiliation:

1. Engineering Research Center of Intelligent Perception and Autonomous Control, Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. Centre of Sustainable Cyber Security, School of Computing and Mathematical Sciences, Faculty of of Engineering and Science, University of Greenwich, London, U.K.

3. Department of Software Engineering, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan

4. Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan

Funder

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/10360362/10265167.pdf?arnumber=10265167

Reference33 articles.

1. Security and Privacy in Device-to-Device (D2D) Communication: A Review

2. DDoS in the IoT: Mirai and Other Botnets

3. Fog Computing: Helping the Internet of Things Realize Its Potential

4. Fog Computing for the Internet of Things: Security and Privacy Issues

5. Mobility-Aware Fog Computing in Dynamic Environments: Understandings and Implementation

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