Cryptographic and Intrusion Detection System for automotive CAN bus: Survey and contributions

Gmiden, Mabrouka; Gmiden, Mohamed Hedi; Trabelsi, Hafedh

doi:10.1109/ssd.2019.8893165

Cited by 12 publications

(9 citation statements)

References 7 publications

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“…Young et al [48] presented a very deep survey on IDS approaches. In [49], a detailed survey of security mechanisms is presented with focus on specifically on cryptography and IDS. Wu et al [50] presented the characteristics and constraints for designing the intrusion detection system (IDS).…”

Section: Related Existing Surveysmentioning

confidence: 99%

In-Vehicle Communication Cyber Security: Challenges and Solutions

Rathore

Hewage

Kaiwartya

et al. 2022

Sensors

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In-vehicle communication has become an integral part of today’s driving environment considering the growing add-ons of sensor-centric communication and computing devices inside a vehicle for a range of purposes including vehicle monitoring, physical wiring reduction, and driving efficiency. However, related literature on cyber security for in-vehicle communication systems is still lacking potential dedicated solutions for in-vehicle cyber risks. Existing solutions are mainly relying on protocol-specific security techniques and lacking an overall security framework for in-vehicle communication. In this context, this paper critically explores the literature on cyber security for in-vehicle communication focusing on technical architecture, methodologies, challenges, and possible solutions. In-vehicle communication network architecture is presented considering key components, interfaces, and related technologies. The protocols for in-vehicle communication have been classified based on their characteristics, and usage type. Security solutions for in-vehicle communication have been critically reviewed considering machine learning, cryptography, and port-centric techniques. A multi-layer secure framework is also developed as a protocol and use case-independent in-vehicle communication solution. Finally, open challenges and future dimensions of research for in-vehicle communication cyber security are highlighted as observations and recommendations.

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Section: Related Existing Surveysmentioning

confidence: 99%

In-Vehicle Communication Cyber Security: Challenges and Solutions

Rathore

Hewage

Kaiwartya

et al. 2022

Sensors

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“…[5] 42 LIN, CAN, FlexRay, Ethernet, MOST [6] 15 CAN [7] 25 CAN [16] 24 CAN [17] 6 CAN [18] 19 CAN [9] 9 CAN [19] 17 CAN The authors in [14] review cyberattacks and the relevant countermeasures for CANbased IVN. The paper gives a brief analysis of the main communication protocols (CAN, LIN, and FlexRay), but basically focuses on CAN only.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, 24 IDS approaches for the CAN bus are analyzed by [16] based on the information they extract from the network and the way they build their model. Additionally in the same direction, [17] proposes five criteria to classify CAN-based VIDS approaches: data source, detection method, data analysis location, analysis frequency, and behavior after detection. Besides describing some of the main CAN vulnerabilities, the authors analyze six papers considering such classification.…”

Section: Related Workmentioning

confidence: 99%

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Demystifying In-Vehicle Intrusion Detection Systems: A Survey of Surveys and a Meta-Taxonomy

et al. 2022

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Breaches in the cyberspace due to cyber-physical attacks can harm the physical space, and any type of vehicle is an alluring target for wrongdoers for an assortment of reasons. Especially, as the automobiles are becoming increasingly interconnected within the Cooperative Intelligent Transport System (C-ITS) realm and their level of automation elevates, the risk for cyberattacks augments along with the attack surface, thus inexorably rendering the risk of complacency and inaction sizable. Next to other defensive measures, intrusion detection systems (IDS) already comprise an inextricable component of modern automobiles in charge of detecting intrusions in the system while in operation. This work concentrates on in-vehicle IDS with the goal to deliver a fourfold comprehensive survey of surveys on this topic. First, we collect and analyze all existing in-vehicle IDS classifications and fuse them into a simpler, overarching one that can be used as a base for classifying any work in this area. Second, we gather and elaborate on the so-far available datasets which can be possibly used to train and evaluate an in-vehicle IDS. Third, we survey non-commercial simulators which may be utilized for creating a dataset or evaluating an IDS. The last contribution pertains to a thorough exposition of the future trends and challenges in this area. To our knowledge, this work provides the first wholemeal survey on in-vehicle IDS, and it is therefore anticipated to serve as a groundwork and point of reference for multiple stakeholders at varying levels.

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“…The scope of the survey papers already mentioned is limited to secure in-vehicle networks using IDS mechanisms while ignoring other potential solutions. Additionally, Gmiden et al (2019) provide a survey of the existing approaches interested in protecting CAN bus. Nonetheless, this work focuses only on cryptography based solutions.…”

Section: Sate-of-art Surveysmentioning

confidence: 99%

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

Fakhfakh

Tounsi

Mosbah

2021

LHT

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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.

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Cryptographic and Intrusion Detection System for automotive CAN bus: Survey and contributions

Cited by 12 publications

References 7 publications

In-Vehicle Communication Cyber Security: Challenges and Solutions

In-Vehicle Communication Cyber Security: Challenges and Solutions

Demystifying In-Vehicle Intrusion Detection Systems: A Survey of Surveys and a Meta-Taxonomy

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

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