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Hybrid Approach to Detect Position Forgery Attacks in ...
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由 MA Shahid 著作2023被引用 1 次 — In this paper, we propose a new hybrid approach consisting of a combination of Machine Learning and Plausibility Checks to detect position forgery attacks in ...
Hybrid Approach to Detect Position Forgery Attacks in ...
Semantic Scholar
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A new hybrid approach consisting of a combination of Machine Learning and Plausibility Checks to detect position forgery attacks in basic safety messages ...
Hybrid Approach to Detect Position Forgery Attacks in ...
IEEE Xplore
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IEEE Xplore
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由 MA Shahid 著作2023被引用 1 次 — Denial of Service (DoS), Replay, wormhole & sinkhole and Sybil attacks are some of the known attacks in. VANET. One important class of VANET attacks is po-.
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Hybrid Approach to Detect Position Forgery Attacks in Connected ...
colab.ws
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colab.ws
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Hybrid Approach to Detect Position Forgery Attacks in Connected Vehicles. Muhammad Anwar Shahid 1. ,. Arunita Jaekel 1. Show full list: 2 authors.
A survey on misbehavior detection for connected and ...
ScienceDirect.com
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由 ML Bouchouia 著作2023被引用 31 次 — It typically involves the use of advanced algorithms and machine learning techniques to monitor and analyze the vehicle's communication with other systems and ...
Misbehavior Detection using Machine Learning in ...
ResearchGate
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ResearchGate
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By utilizing trained ML models, each vehicle performs local detection and evicts misbehaving vehicles based on aggregated information from all neighboring ...
Machine Learning Approach for Detecting Location Spoofing in ...
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This paper proposes a novel and efficient data-centric approach to detect location spoofing, using machine learning algorithms and has compared the proposed ...
Detection of Position Falsification Attacks in VANETs Applying ...
ACM Digital Library
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由 J Montenegro 著作2020被引用 31 次 — Results show the superior discriminative power of the receiver power coherency metric when detecting misbehaving nodes based on fake position attacks.
An effective tool based on a novel hybrid approach to ...
ResearchGate
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2024年2月9日 — NO-SHAM: An effective tool based on a novel hybrid approach to detect copy-move forgery in images ... attack detection and. transformation ...
Attacks and defences on intelligent connected vehicles
ScienceDirect.com
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由 M Dibaei 著作2020被引用 180 次 — The PES is a statistical method for detecting Sybil attacks in VANETs. ... Uses position information of vehicles to detect message forgery, Additional ...