A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks-Reference-Cited by-同舟云学术

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A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks

Published:2024 Issue: Volume:12 Page:36296-36310
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gotarane Vishal¹^ORCID,Abimannan Satheesh¹^ORCID,Hussain Shahid²^ORCID,Irshad Reyazur Rashid³

Affiliation:

1. Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai, India

2. Innovation Value Institute (IVI), School of Business, National University of Ireland, Maynooth (NUIM), Maynooth, Ireland

3. Department of Computer Science, College of Science and Arts-Sharurah, Najran University, Najran, Saudi Arabia

Funder

Research Centers Funding program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10462084.pdf?arnumber=10462084

Reference63 articles.

1. A Reputation Value-Based Early Detection Mechanism Against the Consumer-Provider Collusive Attack in Information-Centric IoT

2. Fault resilient communication network architecture for monitoring and control of wind power farms

3. Malicious Insider Attack Detection in IoTs Using Data Analytics

4. FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks

5. IoT-Enabled Secure and Scalable Cloud Architecture for Multi-User Systems: A Hybrid Post-Quantum Cryptographic and Blockchain-Based Approach Toward a Trustworthy Cloud Computing

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1. A Two-Phase Blockchain-Enabled Framework for Securing Internet of Medical Things Systems;Internet of Things;2024-12

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