Autonomous vehicles: A study of implementation and security

Khan, Firoz; Kumar, Randhir; Kadry, Seifedine; Nam, Yunyoung; Meqdad, Maytham N.

doi:10.11591/ijece.v11i4.pp3013-3021

Cited by 25 publications

(9 citation statements)

References 6 publications

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“…Much research has been carried out that describes the capabilities of each of these [33,34]; more recently, many studies have focused on so-called "sensor fusion", whereby the benefits of using different combinations of sensors are explored [35,36]. Furthermore, cybersecurity is a crucial concern in CAV development, and it has been shown that, even if a sensor array could perform very well, it can still be vulnerable to attack from outside sources, and such attacks could have devastating consequences [37]. Research also shows that some sensors will suffer the same issues as humans when faced with obscuration, for example, due to weather conditions (fog, heavy rain, etc.…”

Section: Discussionmentioning

confidence: 99%

Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

Morris

Haworth

Filtness

et al. 2021

Behavioral Sciences

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(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.

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Section: Discussionmentioning

confidence: 99%

Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

Morris

Haworth

Filtness

et al. 2021

Behavioral Sciences

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“…These standardization activities are related to functional safety (ISO 26262) and Safety of the Intended Functionality (ISO 21448). The safety problem related to deployment of AI software in automotive system products is still open [179].In addition, the researchers in [180] discuss the aspect of cyber security of autonomous vehicles. Cyber attacks on various sensors and on-board cameras have revealed several vulnerabilities of the autonomous vehicles.…”

Section: E Avs Standardisation -mentioning

confidence: 99%

Autonomous Driving: A Survey of Technological Gaps Using Google Scholar and Web of Science Trend Analysis

Hacohen

Medina

Shoval

2022

IEEE Trans. Intell. Transport. Syst.

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Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging technology has the potential to impact the transportation sector across a wide array of categories including safety, efficiency, congestion, legislation, and travel behavior. In this survey, we review the main issues involved in AD as discussed in the literature, and shed light on topics that we consider requiring further development based on Google Scholar and the Web of Science (WoS) data base. The paper also provides the results of research trends related to Autonomous Driving based on analysis of the number of search results listed in google trends. According to our research, the fields of Vehicle-to-Vehicle (V2V) and Vehicle-to-Cloud (V2C) networking are of higher interest due to the technological gaps and standardization processes. In addition, cyber and security research is in acceleration due to its importance.

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“…The high mobility of 𝐸𝑉𝑠 shortens the communication time between them, necessitating efficient authentication and privacy preservation mechanisms. Many existing authentication schemes [5][6][7][8] involve timeconsuming processes such as certificate revocation list verification and signature verification by vehicles to authenticate received information, aiming to prevent malicious entry. As we delve into the challenges posed by current authentication schemes, it becomes evident that the need for streamlined and resource-efficient approaches is paramount in ensuring the effectiveness of 𝑉2𝐺 communication systems.…”

Section: Introductionmentioning

confidence: 99%

Mutual and Batch Authentication With Conditional Privacy-Preserving Scheme for V2G Communication System

Subramani,

Maria,

Sekar Rajasekaran

et al. 2024

IEEE Access

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The increasing adoption of Intelligent Electric Vehicles (𝐸𝑉𝑠) in the realm of transportation has raised significant concerns pertaining to security aspects within the vehicle-to-grid (𝑉2𝐺) communication system. This includes issues related to authentication, integrity, confidentiality, privacy, and the effective tracking of 𝐸𝑉𝑠. While numerous researchers have proposed solutions to address these security challenges, the existing schemes often exhibit a considerable demand for computational and communication resources. This renders them impractical for resource-limited 𝑉2𝐺 setups operating within the Internet-of-Things (𝐼𝑜𝑇) framework. To address these limitations, this paper introduces an energy-efficient mutual and batch authentication scheme tailored specifically for 𝑉2𝐺 communication systems within the 𝐼𝑜𝑇 paradigm. Through a meticulous security and performance analysis, our proposed scheme demonstrates its proficiency in providing essential security features, including robust authentication and privacy safeguards, while significantly minimizing both computational and communication complexity. The outcomes of our analysis affirm that the proposed approach is well-suited for the unique constraints of 𝐼𝑜𝑇-based 𝑉2𝐺 communication systems, offering a balanced and resource-efficient solution to enhance overall security and performance.

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Autonomous vehicles: A study of implementation and security

Cited by 25 publications

References 6 publications

Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

Autonomous Driving: A Survey of Technological Gaps Using Google Scholar and Web of Science Trend Analysis

Mutual and Batch Authentication With Conditional Privacy-Preserving Scheme for V2G Communication System

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