Towards a distributed secure in-vehicle communication architecture for modern vehicles

Patsakis, Constantinos; Dellios, Kleanthis; Bouroche, Mélanie

doi:10.1016/j.cose.2013.11.003

Cited by 52 publications

(22 citation statements)

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“…In [ 27 ], a sensor-based detection method recognize a malicious intrusion by using several sensors designed for the attack scenarios. Secured protocols in accordance with the conventional specifications are proposed in [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

2016

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A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to enhance the security of in-vehicular network. The parameters building the DNN structure are trained with probability-based feature vectors that are extracted from the in-vehicular network packets. For a given packet, the DNN provides the probability of each class discriminating normal and attack packets, and, thus the sensor can identify any malicious attack to the vehicle. As compared to the traditional artificial neural network applied to the IDS, the proposed technique adopts recent advances in deep learning studies such as initializing the parameters through the unsupervised pre-training of deep belief networks (DBN), therefore improving the detection accuracy. It is demonstrated with experimental results that the proposed technique can provide a real-time response to the attack with a significantly improved detection ratio in controller area network (CAN) bus.

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Section: Introductionmentioning

confidence: 99%

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

2016

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“…Cybersecurity hardware accelerators should be integrated in new automotive controllers to implement in real-time the encryption of data packets. To this aim, cybersecurity hardware accelerators to implement in real-time advanced encryption standard (AES), at the core of symmetric cryptography, or elliptic curve cryptography (ECC) for asymmetric cryptography, are under development [56][57][58][59][60].…”

Section: In-vehicle Cyber-security For New Gv Generations: Threats Anmentioning

confidence: 99%

Toward Green Vehicles Digitalization for the Next Generation of Connected and Electrified Transport Systems

Mihet‐Popa

Saponara

2018

Energies

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This survey paper reviews recent trends in green vehicle electrification and digitalization, as part of a special section on “Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid”, led by the authors. First, the energy demand and emissions of electric vehicles (EVs) are reviewed, including the analysis of the trends of battery technology and of the recharging issues considering the characteristics of the power grid. Solutions to integrate EV electricity demand in power grids are also proposed. Integrated electric/electronic (E/E) architectures for hybrid EVs (HEVs) and full EVs are discussed, detailing innovations emerging for all components (power converters, electric machines, batteries, and battery-management-systems). 48 V HEVs are emerging as the most promising solution for the short-term electrification of current vehicles based on internal combustion engines. The increased digitalization and connectivity of electrified cars is posing cyber-security issues that are discussed in detail, together with some countermeasures to mitigate them, thus tracing the path for future on-board computing and control platforms.

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“…4 Even though this research suggested the use of encryption algorithms, mutual authentication of ECUs wasn't covered until recently. 5 McAfee (www.mcafee.com/us/resources/reports/rp -caution-malware-ahead.pdf) and AUTOSAR (www .eetimes.com/document.asp?doc_id=1278566) also indicated vital automotive security issues (www.youtube .com/watch?v=BA2J7O6cqzQ), highlighting the necessity of securely programming ECUs and the immobilizer control module (ICM) so that they're controlled only by authorized entities via specific sets of cryptographic techniques. Automotive units and components accumulate multiple unstructured and unused data functions or variants due to heterogeneous cryptographic routines.…”

Section: Security On Tapmentioning

confidence: 99%

Information Security Compliance over Intelligent Transport Systems: Is IT Possible?

Dellios

Papanikas

Polemi

2015

IEEE Secur. Privacy

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e automotive industry has used emerging technological concepts to transform automobiles into sophisticated cyber platforms. However, this extended technological evolution hides multiple security risks capable of a ecting both the intelligent transportation domain and human life itself.E very government takes advantage of cooperation between industrial and technological domains to achieve social and economic prosperity. e automotive industry's use of information and communications technology (ICT), for example, has triggered the evolution of the global phenomenon known today as intelligent transport systems (ITSs; h p://sites.ieee .org/itss). Any disruption or disconnection in modern transport operations makes the entire ITS structure vulnerable at every level architectural, national, regional, global, physical, cyber, and human. Unfortunately, cyberthreats and a acks are a spreading menace for all critical infrastructure (CI), including the ITS domain. 1 us, ITS safety and security are major concerns when selecting security management (SM) frameworks to apply in the delicate yet complex cyber environment, in which robustness against a acks must be ensured. However, SM and critical infrastructure protection (CIP) standards and frameworks don't adequately address the various cascading e ects associated with modern ITS security incidents. More speci cally, existing security standards, methodologies, and tools don't explicitly cover the rapidly developed ITS environment or address its speci c large-scale requirements. Consequently, cyberthreats and a acks can't be fully identied, which means malicious actions can't be prevented, thereby creating critical ITS security gaps. We seek to raise awareness of cybersecurity issues and concerns in the ITS arena by presenting an extensive threat analysis of the ITS environment. Vulnerabilities and the E orts to Counter eme ITS environment consists of multiple heterogeneous and complex layers of physical infrastructures (highways, roads, platforms, vehicles, and buildings), IT infrastructures (hardware equipment, ITS stations, onboard/roadside units, and nomadic devices), communication systems (networks and transmissions), ITS services and applications (cooperative and safety), and users (drivers, passengers, administrators, and security o cers or managers).To provide intelligent and real-time services in such a highly mobile environment, the ITS domain collects, processes, and returns data from all participating entities, forcing the in-vehicle network architecture used for data exchange among the electronic control units (ECUs) to evolve accordingly. Until recently, there was no need to secure automotive buses: they weren't connected to the user domain or the vehicle's exterior, so the ITS domain wasn't fully connected (and therefore vulnerable). But as technology evolves, so do threats and vulnerabilities, in spite of the countermeasures applied by ITS architects, security experts, manufacturers, and vendors. Consequently, in less than a decade, numerous security breaches ha...

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Towards a distributed secure in-vehicle communication architecture for modern vehicles

Cited by 52 publications

References 1 publication

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

Toward Green Vehicles Digitalization for the Next Generation of Connected and Electrified Transport Systems

Information Security Compliance over Intelligent Transport Systems: Is IT Possible?

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