2022
DOI: 10.1080/0952813x.2022.2104387
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An Optimisation driven Deep Residual Network for Sybil attack detection with reputation and trust-based misbehaviour detection in VANET

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Cited by 6 publications
(1 citation statement)
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“…Compromised Safety Applications: Safety-related applications, such as collision avoidance systems, can be compromised if Sybil attackers inject false data, leading to incorrect decisions by vehicles. Detecting Sybil attacks is challenging due to the dynamic nature of VANETs and the need for real-time decision-making [167], [168]. Traditional security mechanisms, such as cryptographic solutions, may be insufficient, and additional trust models or reputation systems are required for effective [169] detection.…”
Section: Figure 9 Sybil Attackersmentioning
confidence: 99%
“…Compromised Safety Applications: Safety-related applications, such as collision avoidance systems, can be compromised if Sybil attackers inject false data, leading to incorrect decisions by vehicles. Detecting Sybil attacks is challenging due to the dynamic nature of VANETs and the need for real-time decision-making [167], [168]. Traditional security mechanisms, such as cryptographic solutions, may be insufficient, and additional trust models or reputation systems are required for effective [169] detection.…”
Section: Figure 9 Sybil Attackersmentioning
confidence: 99%