An Optimisation driven Deep Residual Network for Sybil attack detection with reputation and trust-based misbehaviour detection in VANET-Reference-Cited by-同舟云学术

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An Optimisation driven Deep Residual Network for Sybil attack detection with reputation and trust-based misbehaviour detection in VANET

Published:2022-08-16 Issue: Volume: Page:1-24
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Velayudhan Nitha C¹,Anitha A.²,Madanan Mukesh³

Affiliation:

1. Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari, India

2. Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari, India

3. Department of Computer Science, Dhofar University, Salalah, Oman

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2022.2104387

Reference38 articles.

1. Trust-Aware and Low Energy Consumption Security Topology Protocol of Wireless Sensor Network

2. Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions

3. A Competitive Swarm Optimizer for Large Scale Optimization

Cited by 5 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. Efficient and Secure Graph-Based Trust-Enabled Routing in Vehicular Ad-Hoc Networks;Mobile Networks and Applications;2024-01-11

2. A Survey and Comparative Analysis of Methods for Countering Sybil Attacks in VANETs;2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC);2024-01-08

3. Enhancing security in online social networks: introducing the DeepSybil model for Sybil attack detection;Multimedia Tools and Applications;2023-10-13

4. Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks;Wireless Networks;2023-06-22

5. An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks;IEEE Access;2022

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