Review of Prevention schemes for Replay Attack in Vehicular Ad hoc Networks (VANETs)

Al-Shareeda, Mahmood A.; Anbar, Mohammed; Hasbullah, Iznan H.; Manickam, Selvakumar; Abdullah, Nibras; Hamdi, Mustafa Maad

doi:10.1109/icicsp50920.2020.9232047

Cited by 29 publications

(10 citation statements)

References 45 publications

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“…The attacker often uses false information, such as message fabrication, alternation, and relay to perform this attack. Replay attack [23] also causes similar consequences.…”

Section: Introduction 1vanet Security Challengesmentioning

confidence: 93%

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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“…The attacker often uses false information, such as message fabrication, alternation, and relay to perform this attack. Replay attack [23] also causes similar consequences.…”

Section: Introduction 1vanet Security Challengesmentioning

confidence: 93%

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

Dang

Nguyen

et al. 2021

Electronics

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“…A robustness scheme should withstand common attacks such as replay [27], modification [28], impersonation, and Man-In-The-Middle (MITM) attacks [29], [30].…”

Section: • Traceability and Revocationmentioning

confidence: 99%

A Lightweight Authentication With Privacy-Preserving Scheme for Vehicular Ad Hoc Networks Based on Elliptic Curve Cryptography

Alshudukhi¹,

Al-Mekhlafi²,

Mohammed³

2021

IEEE Access

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Vehicle in vehicular ad hoc networks (VANETs) broadcasts beacons about their traffic status wirelessly for improving traffic safety and efficiency. Before deployment of the VANET system, problems related to security and privacy should be carefully addressed. In this paper, we propose a lightweight authentication with conditional privacy-preserving scheme for guaranteeing secure communication in VANET. The proposed scheme is suitable for addressing issues related to security and privacy because it combines the tamper-proof device (TPD) based schemes with the roadside unit (RSU) based schemes. Based on elliptic curve cryptography, the proposed scheme preloads the initial public parameters and keys of the system in each TPD of RSU instead of the TPD of the on-border unit (OBU). Furthermore, the proposed scheme not only achieve security and privacy requirements but also resists common security attacks. The performance evaluation shows that the proposed scheme has a lower cost compared with other existing schemes in terms of computation cost and communication cost. INDEX TERMS Authentication, tamper proof device (TPD), privacy-preserving, vehicular ad-hoc networks (VANETs). I. INTRODUCTION Recently, the intelligent transportation system (ITS) has attracted more deliberate attention from the motor industry, academia, and even government in recent years since it is reducing traffic congestion, enhancing driving efficiency, improving traffic safety, minimizing environmental pollution and providing convenience [1], [2]. Vehicular ad hoc networks (VANETs) are an entity of ITS with a fully a selforganizing wireless ad hoc communication system containing vehicles equipped with onboard unit (OBU), a trusted authority (TA) which preloads the initial public parameters of the VANET, and a road side unit (RSU) deployed at intersections in country, as presented in Figure 1. The communications types in VANETs contain two main modes: vehicle-tovehicle (V2V) communication and vehicle-to-infrastructure (V2I) communication [3], [4]. Dedicated short-range communication (DSRC) protocol is an open wireless technology which allows the vehicle for FIGURE 1: A typical VANET scenario. processing, receiving, broadcasting and communicating with each other or nearby RSU and exchanging messages such as

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“…The majority of Internet users utilise the Internet to conduct many of their usual daily activities, including routine work, social interactions, and personal leisure. Nearly all Internet users claim that their everyday activities and routines would be altered if they lost access to the Internet [1][2][3][4][5][6][7][8]. Our lives have altered in every way because to the internet and communication technologies.…”

Section: Introductionmentioning

confidence: 99%

“…The most pervasive and significant threat to computing assets among the various types of malicious software is posed by botnets. The increasing dependence on the internet over the past few decades has made it difficult to manage the integrity, confidentiality, and security of user data and computing resources [14][15][16][17][18][19]. This is due to the fact that the majority of cyber-security-related problems are caused by malicious software that is operating undetected on user computers and may jeopardise the security of the user's data, especially in critical infrastructure, government, business, and academic settings [20].…”

Section: Introductionmentioning

confidence: 99%

Detection Mechanisms for Peer-to-Peer Botnets

Manickam¹,

Al-Shareeda²

2022

Preprint

Self Cite

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Cybercrimes are becoming a bigger menace to both people and corporations. It poses a serious challenge to the modern digital world. According to a press release from 2019 Cisco and Cybersecurity Ventures, Cisco stopped seven trillion threats in 2018, or 20 billion threats every day, on behalf of its clients. According to Cybersecurity Ventures, the global cost of cybercrime will reach $6 trillion annually by 2021, which is significantly more than the annual damage caused by all natural disasters and more profitable than the global trade in all major illegal narcotics put together. Botnets are the most common and have a significant negative impact on any civilization among malware programmes. As a result, this study will explore various P2P botnet detection algorithms by outlining their essential characteristics, advantages and disadvantages, obstacles, and future research.

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Review of Prevention schemes for Replay Attack in Vehicular Ad hoc Networks (VANETs)

Cited by 29 publications

References 45 publications

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

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

A Lightweight Authentication With Privacy-Preserving Scheme for Vehicular Ad Hoc Networks Based on Elliptic Curve Cryptography

Detection Mechanisms for Peer-to-Peer Botnets

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