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A significant milestone in advancing cybersecurity within the automotive industry is the release of the first international standard for automotive cybersecurity ISO/SAE 21434:2021 ‘Road Vehicles — Cybersecurity Engineering’. A recently published type approval regulation for automotive cybersecurity (UN R155) is also tailored for member countries of the UNECE WP.29 alliance. ...Thus, the challenges for embedded automotive systems engineers are increasing while frameworks, tools and shared concepts for cybersecurity engineering and training are scarce. Hence, cybersecurity training in the automotive domain necessitates an understanding of domain-specific intricacies and the unique challenges at the intersection of cybersecurity and embedded systems engineering, elevating the need for improving the skill set and knowledge of automotive cybersecurity engineers. ...Hence, cybersecurity training in the automotive domain necessitates an understanding of domain-specific intricacies and the unique challenges at the intersection of cybersecurity and embedded systems engineering, elevating the need for improving the skill set and knowledge of automotive cybersecurity engineers. This paper delves into an automotive cybersecurity training concept aimed at enhancing the proficiency of development engineers.

With the development of vehicle intelligence and the Internet of Vehicles, how to protect the safety of the vehicle network system has become a focus issue that needs to be solved urgently. The Controller Area Network (CAN) bus is currently a very widely used vehicle-mounted bus, and its security largely determines the degree of vehicle-mounted information security. The CAN bus lacks adequate protection mechanisms and is vulnerable to external attacks such as replay attacks, modifying attacks, and so on. On the basis of the existing work, this paper proposes an authentication method that combines Hash-based Message Authentication Code (HMAC)-SHA256 and Tiny Encryption Algorithm (TEA) algorithms. This method is based on dynamic identity authentication in challenge/response made and combined with the characteristics of the CAN bus itself as it achieves the identity authentication between the gateway and multiple electronic control units (ECUs).

Since the early 1990’s, commercial vehicles have suffered from repeated vulnerability exploitations that resulted in a need for improved automotive cybersecurity. This paper outlines the strategies and challenges of implementing an automotive Zero Trust Architecture (ZTA) to secure intra-vehicle networks. ...This research successfully met the four requirements and demonstrated that using ZT principles in an on-vehicle network greatly improved the cybersecurity posture with manageable impact to system performance and deployment.

Consequently, rise of this technological trend is bringing forth safety and cybersecurity challenges in form of new threats, hazards and vulnerabilities. As per the recent UN vehicle regulation 155, several risk-based security models and assessment frameworks have been proposed to counter the growing cybersecurity issues, however, the high budgetary cost to develop the tool and train personnel along with high risk of leakage of trade secrets, hinders the automotive manufacturers from adapting these third party solutions. ...As per the recent UN vehicle regulation 155, several risk-based security models and assessment frameworks have been proposed to counter the growing cybersecurity issues, however, the high budgetary cost to develop the tool and train personnel along with high risk of leakage of trade secrets, hinders the automotive manufacturers from adapting these third party solutions.

To build secure systems of road vehicles, the cybersecurity engineering standard ISO21434[11] suggests the evaluation of vulnerabilities throughout engineering process, such as attack path analysis, system requirement stage, software architecture, design, and implementation and testing phases. ...With my analysis and practices, it is appropriate to include the common vulnerabilities that ought to be an integral part of the automotive cybersecurity engineering process. In this paper, the author would like to provide a list of vulnerabilities that might be a suggestion for threat analysis and risk assessment and propose two solutions that may be adopted directly in the V-model for security-relevant software development.

With the introduction of Connected Vehicles, it is possible to extend the limited horizon of vehicles on the road by collective perceptions, where vehicles periodically share their information with other vehicles and servers using cloud. Nevertheless, by the time the connected vehicle spread expands, it is critical to understand the validation techniques which can be used to ensure a flawless transfer of data and connectivity. Connected vehicles are mainly characterized by the smartphone application which is provided to the end customers to access the connectivity features in the vehicle. The end result which is delivered to the customer is through the integrated telematics unit in the vehicle which communicates through a communication layer with the cloud platform. The cloud server in turn interacts with the final application layer of the mobile application given to the customer.

As well, functional safety and cybersecurity constraints will increase. Electrification implies replacing energy from thermal sources with electricity from the wall and will include enhanced integration between sub-systems and components, along with higher speed in real time controls.

The article also focus on innovative approaches that have recently adopted my many cybersecurity professionals for secured operation of ITS involving block-chain, artificial intelligence, and Machine Learning.

We also consider the necessary scope and depth of cybersecurity testing and suggest examples of how this can be related to cybersecurity requirements, goals and integrity levels, as determined by the threat analysis and risk assessment. ...An essential part of an effective cybersecurity engineering process is testing the implementation of a system for vulnerabilities and validating the effectiveness of countermeasures. ...The SAE J3061 Cybersecurity Guidebook for Cyber-Physical Vehicle Systems provides a recommended framework which organizations can use to implement a cybersecurity engineering process, which includes activities such as integration and testing, penetration testing and verification/validation of cybersecurity requirements at the hardware, software and system levels.

Cybersecurity (CS) is crucial and significantly important in every product that is connected to the network/internet. ...Hence making it very important to guarantee that every single connected device shall have cybersecurity measures implemented to ensure the safety of the entire system. Looking into the forecasted worldwide growth in the electric vehicles (EV’s) segment, CS researchers have recently identified several vulnerabilities that exist in EV’s, electric vehicle supply equipment (EVSE) devices, communications to EVs, and upstream services, such as EVSE vendor cloud services, third party systems, and grid operators. ...Additional processes have been defined in the process reference and assessment model for the CS engineering in order to incorporate the cybersecurity related processes in the ASPICE scope. This paper aims at providing a model & brief overview to establish a correlation between the ASPICE, ISO/SAE 21434 and the ISO 26262 functional safety (FS) standards for development of a secured cybersecurity software with all the considerations that an organization can undertake.

Software vulnerability management is one of the most critical and crucial security techniques, which analyzes the automotive software/firmware across the digital cockpit, ADAS, V2X, etc. domains for vulnerabilities, and provides security patches for the concerned Common Vulnerabilities and Exposures (CVE). The process of automotive SW/FW vulnerability management system between the OEMs and vendors happen through a channel of fixing a certain number of vulnerabilities by 1st tier supplier which needs to be verified in front of OEMs for the fixed number and type of patches in there deliverable SW/FW. The gap of verification between for the fixed patches between the OEMs and 1st tier supplier requires a reliable human independent intelligent technique to have a trustworthiness of verification.

With the increasing connectivity and complexity of modern automobiles, cybersecurity has become one of the most important properties of a vehicle. Various strategies have been proposed to enhance automotive cybersecurity. ...Various strategies have been proposed to enhance automotive cybersecurity. Digital twin (DT), regarded as one of the top 10 strategic technology trends by Gartner in 2018 and 2019, establishes digital representations in a virtual world and raises new ideas to benefit real-life objects. ...In this paper, we explored the possibility of using digital twin technology to improve automotive cybersecurity. We designed two kinds of digital twin models, named mirror DT and autonomous DT, and corresponding environments to support cybersecurity design, development, and maintenance in an auto’s lifecycle, as well as technique training.

Automotive electronics and enterprise IT are converging and thus open the doors for advanced hacking. With their immediate safety impact, cyberattacks on such systems will endanger passengers. Today, there are various methods of security verification and validation in the automotive industry. However, we realize that vulnerability detection is incomplete and inefficient with classic security testing. In this article, we show how an enhanced Grey-Box Penetration Test (GBPT) needs less test cases while being more effective in terms of coverage and indicating less false positives.

Android applications have historically faced vulnerabilities to man-in-the-middle attacks due to insecure custom SSL/TLS certificate validation implementations. In response, Google introduced the Network Security Configuration (NSC) as a configuration-based solution to improve the security of certificate validation practices. NSC was initially developed to enhance the security of Android applications by providing developers with a framework to customize network security settings. However, recent studies have shown that it is often not being leveraged appropriately to enhance security. Motivated by the surge in vehicular connectivity and the corresponding impact on user security and data privacy, our research pivots to the domain of mobile applications for vehicles. As vehicles increasingly become repositories of personal data and integral nodes in the Internet of Things (IoT) ecosystem, ensuring their security moves beyond traditional issues to one of public safety and trust.

Autonomous vehicles might one day be able to implement privacy preserving driving patterns which humans may find too difficult to implement. In order to measure the difference between location privacy achieved by humans versus location privacy achieved by autonomous vehicles, this paper measures privacy as trajectory anonymity, as opposed to single location privacy or continuous privacy. This paper evaluates how trajectory privacy for randomized driving patterns could be twice as effective for autonomous vehicles using diverted paths compared to Google Map API generated shortest paths. The result shows vehicles mobility patterns could impact trajectory and location privacy. Moreover, the results show that the proposed metric outperforms both K-anonymity and KDT-anonymity.

CAN bus network proved to be efficient and dynamic for small compact cars as well as heavy-duty vehicles (HDV). However, HDVs are more susceptible to malicious attacks due to lack of security in their intra-vehicle communication protocols. SAE proposed a new standard named J1939-91C for CAN-FD networks which provides methods for establishing trust and securing mutual messages with optional encryption. J1939-91C ensures message authenticity, integrity, and confidentiality by implementing complex cryptographic operations including hash functions and random key generation. In this paper, the three main phases of J1939-91C, i.e., Network Formation, Rekeying, and Message Exchange, are simulated and tested on Electronic Control Units (ECUs) supporting CAN-FD network. Numerous test vectors were generated and validated to support SAE J1939-91C. The mentioned vectors were produced by simulating different encryption and hashing algorithms with variable message and key lengths.

In agriculture industry, increasing use of Vehicle Internet of Things (IoT), telematics and emerging technologies are resulting in smarter machines with connected solutions. Inter and Intra Communication with vehicle to vehicle and inside vehicle - Electronic Control Unit (ECU) to ECU or ECU (Electronic Control Unit) to sensor, requirement for flow of data increased in-turn resulting in increased need for secure communication. In this paper, we focus on functional verification and validation of secure Controller Area Network (CAN) for intra vehicular communication to establish confidentiality, integrity, authenticity, and freshness of data, supporting safety, advanced automation, protection of sensitive data and IP (Intellectual Property) protection. Network security algorithms and software security processes are the layers supporting to achieve our cause.

There continues to be massive advancements in modern connected vehicles and with these advancements, connectivity continues to rapidly become more integral to the way these vehicles are designed and operated. Vehicle connectivity was originally introduced for the purpose of providing software updates to the vehicle’s main system software, and we have seen the adoption of Over The Air updates (OTA) become mainstream with most OEMs. The exploitation of this connectivity is far more reaching than just basic software updates. In the latest vehicles it is possible to update software not just on the main vehicle systems, but to potentially update embedded software in all smart ECUs within the vehicle. Only using the connectivity to push data to the vehicle is not making full use of the potential of this increased connectivity. Being able to collect vehicle data for offline analysis and processing also brings huge benefits to the use of this technology.

As a result of the ever-increasing application of cyber-physical components in the automotive industry, cybersecurity has become an urgent topic. Adapting technologies and communication protocols like Ethernet and WiFi in connected vehicles yields many attack scenarios. ...Consequently, ISO/SAE 21434 and UN R155 (2021) define a standard and regulatory framework for automotive cybersecurity, Both documents follow a risk management-based approach and require a threat modeling methodology for risk analysis and identification. ...Initially, we transform cybersecurity guidelines to attack trees, and then we use their formal interpretations to assess the vehicle’s design.

The paper includes a description of cybersecurity measures to protect the vehicle against malicious attacks.