Toward a Honeypot Solution for Proactive Security in Vehicular Ad Hoc Networks

Gantsou, Dhavy; Sondi, Patrick

doi:10.1007/978-3-642-40861-8_22

Cited by 11 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Honeypot (Spitzner, 2003) is a potential solution that can be used to collect and analyze attacker behaviors. In vehicular networks, many proposals (Gantsou and Sondi, 2014; Patel and Jhaveri, 2017; Sharma and Kaul, 2018) relied on the honeypot to deal with security attacks. To date, we have identified only an old work (Verendel et al , 2008) which introduces a placement strategy of a honeypot within a driving vehicle based on CAN bus.…”

Section: Discussion and Research Challengesmentioning

confidence: 99%

Cybersecurity attacks on CAN bus based vehicles: a review and open challenges

Fakhfakh

Tounsi

Mosbah

2021

LHT

View full text Add to dashboard Cite

PurposeNowadays, connected vehicles are becoming quite complex systems which are made up of different devices. In such a vehicle, there are several electronic control units (ECUs) that represent basic units of computation. These ECUs communicate with each other over the Controller Area Network (CAN) bus protocol which ensures a high communication rate. Even though it is an efficient standard which provides communication for in-vehicle networks, it is prone to various cybersecurity attacks. This paper aims to present a systematic literature review (SLR) which focuses on potential attacks on CAN bus networks. Then, it surveys the solutions proposed to overcome these attacks. In addition, it investigates the validation strategies aiming to check their accuracy and correctness.Design/methodology/approachThe authors have adopted the SLR methodology to summarize existing research papers that focus on the potential attacks on CAN bus networks. In addition, they compare the selected papers by classifying them according to the adopted validation strategies. They identify also gaps in the existing literature and provide a set of open challenges that can significantly improve the existing works.FindingsThe study showed that most of the examined papers adopted the simulation as a validation strategy to imitate the system behavior and evaluate a set of performance criteria. Nevertheless, a little consideration has been given to the formal verification of the proposed systems.Originality/valueUnlike the existing surveys, this paper presents the first SLR that identifies local and remote security attacks that can compromise in-vehicle and inter-vehicle communications. Moreover, it compares the reviewed papers while focusing on the used validation strategies.

show abstract

Section: Discussion and Research Challengesmentioning

confidence: 99%

Cybersecurity attacks on CAN bus based vehicles: a review and open challenges

Fakhfakh

Tounsi

Mosbah

2021

LHT

View full text Add to dashboard Cite

show abstract

“…Honeypots have been used to identify vehicles behaving selfishly to preserve their resources [5], collect adversarial information [6], and support intrusion detection systems for VANETs [23]. [7] highlighted the application of honeypots in VANETs by presenting how in-vehicle honeypots and road side unit honeypots could be used to support the security and enhance the performance of VANETs. Verendel et al [6] proposed three in-vehicle honeypot models demonstrating the use of honeypots in IoV to gather adversarial information.…”

Section: A Honeypots For Vehiclesmentioning

confidence: 99%

“…IoV thus needs to address numerous security issues including threats concerning the Internet of Things (IoT) but also new threats specific to connected vehicular networks. Cyber deception and more specifically honeypots have been studied within the field of vehicular networks, e.g., [5], [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles

Panda¹,

Raß²,

Moschoyiannis³

et al. 2021

Preprint

View full text Add to dashboard Cite

The Internet of Vehicles (IoV), whereby interconnected vehicles communicate with each other and with road infrastructure on a common network, has promising socioeconomic benefits but also poses new cyber-physical threats. Data on vehicular attackers can be realistically gathered through cyber threat intelligence using systems like honeypots. Admittedly, configuring honeypots introduces a trade-off between the level of honeypot-attacker interactions and any incurred overheads and costs for implementing and monitoring these honeypots. We argue that effective deception can be achieved through strategically configuring the honeypots to represent components of the IoV and engage attackers to collect cyber threat intelligence. In this paper, we present HoneyCar, a novel decision support framework for honeypot deception in IoV. HoneyCar builds upon a repository of known vulnerabilities of the autonomous and connected vehicles found in the Common Vulnerabilities and Exposure (CVE) data within the National Vulnerability Database (NVD) to compute optimal honeypot configuration strategies. By taking a game-theoretic approach, we model the adversarial interaction as a repeated imperfect-information zerosum game in which the IoV network administrator chooses a set of vulnerabilities to offer in a honeypot and a strategic attacker chooses a vulnerability of the IoV to exploit under uncertainty. Our investigation is substantiated by examining two different versions of the game, with and without the re-configuration cost to empower the network administrator to determine optimal honeypot configurations. We evaluate HoneyCar in a realistic use case to support decision makers with determining optimal honeypot configuration strategies for strategic deployment in IoV.

show abstract

“…to design algorithms that are suitable in the IoV network. Some promising techniques, like Intrusion Detection System (IDS) [99] , Honeypot [100] , and Secure Routing Protocols [101] have been shown to be effective.…”

Section: Security and Privacymentioning

confidence: 99%

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Luo

et al. 2020

Intell. and Converged Netw.

View full text Add to dashboard Cite

Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms. Wireless recommendations play an important role in the IoV network, for example, recommending appropriate routes, recommending driving strategies, and recommending content. In this paper, we review some of the key techniques in recommendations and discuss what are the opportunities and challenges to deploy these wireless recommendations in the IoV.

show abstract

Toward a Honeypot Solution for Proactive Security in Vehicular Ad Hoc Networks

Cited by 11 publications

References 8 publications

Cybersecurity attacks on CAN bus based vehicles: a review and open challenges

Cybersecurity attacks on CAN bus based vehicles: a review and open challenges

HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Contact Info

Product

Resources

About