Detection of impersonation attack in VANETs using BUCK Filter and VANET Content Fragile Watermarking (VCFW)

Chhatwal, Simranpreet Singh; Sharma, Manmohan

doi:10.1109/iccci.2015.7218093

Cited by 12 publications

(6 citation statements)

References 4 publications

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“…An attacker fakes the identity of an authorised network node, to gain access to network resources; snoops the traffic or disturb the functioning of the MANET network. With a man-in-the-middle attack, an attacker even alters the information transmitted between two network nodes, without letting them know they are not connected directly with each other [26]- [27].…”

Section: ) Impersonation Methodsmentioning

confidence: 99%

A Review on Security-aware Routing Protocols for Mobile Ad hoc Network

Quy¹

2020

IJATCSE

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In recent years, Mobile Ad hoc Networks (MANET) have been focused on research and applied in many areas such as military, government and commercial applications. Due to the characteristics of MANET, mobile network nodes can join or leave the network at any time, so a spy network node can be easy to enter into the system and collect vital data. To solve this problem, the design and deployment of reliable routing solutions is a very urgent task in MANET. In this study, we survey the secure-aware routing protocols for MANET proposed in IEEE Xplore Digital Library over the last decade. Based on the results obtained, we suggest future open research directions. We hope that this work will promo for new studies in the field of routing secure-aware for the MANET. The survey results are also an essential basis for the in-depth studies in the military and government applications of the research team.

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Section: ) Impersonation Methodsmentioning

confidence: 99%

A Review on Security-aware Routing Protocols for Mobile Ad hoc Network

Quy¹

2020

IJATCSE

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“…The primary purpose is to interfere with the process of authentication in VANET [13,14]. Node Impersonation [15,16] attack also works in the same manner.…”

Section: Introduction 1vanet Security Challengesmentioning

confidence: 99%

A Behavior-Based Malware Spreading Model for Vehicle-to-Vehicle Communications in VANET Networks

Dang

Nguyen

et al. 2021

Electronics

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Network attacking using malware has become very popular on the Internet and in many other networks, namely Vehicular Ad-hoc Network (VANET) networks. It is required to have the model describing the malware spreading based on factors, which directly affect this process to limit its influences. In this paper, we propose a mathematical model called SEIR-S (Susceptible–Exposed–Infectious–Recovered–Susceptible) based on the characteristics of the VANET network and the well-known disease-spreading model SIR (Susceptible–Infectious–Recovered). We take into account possible behaviors of malware and provide the corresponding states to vehicles: Susceptible (S), Exposed (E), Infectious (I), Recovered (R). We evaluate the basic reproduction number R0 of the model and perform a stability analysis of the proposed model. The results show that, when R0 < 1, the malware spreading will gradually decrease, and, when R0 > 1, that spreading cannot be extinguished. We also point out the condition that we can control the endemic in the VANET network. In addition, the correctness of the proposed model is verified using both numerical analysis and agent-based simulation on NetLogo.

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“…A vehicle is authenticated based on its identity. If attackers steal this identity, they can harm the system drastically by various types of impersonation attacks such as Sybil attack and man‐in‐the‐middle attack [1]. Vehicles neither have a fixed mobility pattern nor any fixed infrastructure.…”

Section: Introductionmentioning

confidence: 99%