Zobrazeno 1 - 10
of 701
pro vyhledávání: '"Controller area network (CAN)"'
Autor:
Shanthalakshmi M, Ponmagal R S
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Smart cities have developed advanced technology that improves people’s lives. A collaboration of smart cities with autonomous vehicles shows the development towards a more advanced future. Cyber-physical system (CPS) are used blend the cyb
Externí odkaz:
https://doaj.org/article/f310c18c3a3f4c158fb16b3498271659
Publikováno v:
IoT, Vol 5, Iss 2, Pp 290-310 (2024)
The rapid advancement of technology, alongside state-of-the-art techniques is at an all-time high. However, this unprecedented growth of technological prowess also brings forth potential threats, as oftentimes the security encompassing these technolo
Externí odkaz:
https://doaj.org/article/6b6271c9b87647a4b638a72438d1a08b
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
A novel technique for electronic control unit (ECU) identification is proposed in this study to address security vulnerabilities of the controller area network (CAN) protocol. The reliable ECU identification has the potential to prevent spoofing atta
Externí odkaz:
https://doaj.org/article/b4a48a6737684a929b5a8b910d5d355c
Autor:
Moogeun Song, Dongik Lee
Publikováno v:
IEEE Access, Vol 12, Pp 183265-183278 (2024)
Latest intelligent vehicles require a higher level of reliability for controller area network (CAN). Furthermore, the spread of electric vehicles may worsen the problem of electromagnetic interference. Severe electromagnetic interference can affect t
Externí odkaz:
https://doaj.org/article/a4f5c73077854bf29603c05d1b9f52b9
Autor:
Mohammed Almehdhar, Abdullatif Albaseer, Muhammad Asif Khan, Mohamed Abdallah, Hamid Menouar, Saif Al-Kuwari, Ala Al-Fuqaha
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 869-906 (2024)
The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey paper offers an in-depth ex
Externí odkaz:
https://doaj.org/article/aa5cac1ab5324e2b83a327ca77eac785
Publikováno v:
IEEE Access, Vol 12, Pp 6239-6250 (2024)
As modern vehicles connect with external networks such as the internet, a lot of research reveals various ways to hack vehicles. Given this background, the UN-R155 regulation requires automakers to conduct incident responses. To make incident respons
Externí odkaz:
https://doaj.org/article/66f0ba4d4b654bcfa7546159b4a2f83a
Autor:
Young-Woo Hong, Dong-Young Yoo
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5487 (2024)
Recently, methods to detect DoS and spoofing attacks on In-Vehicle Networks via the CAN protocol have been studied using deep learning models, such as CNN, RNN, and LSTM. These studies have produced significant results in the field of In-Vehicle Netw
Externí odkaz:
https://doaj.org/article/3fa7607050314b9e8ae8283aa845b3aa
Publikováno v:
IEEE Access, Vol 11, Pp 52199-52213 (2023)
As the topologies of Controller Area Networks (CAN) in the industrial production systems become increasingly complex, robust and accurate diagnosis of network faults are essential to the system maintenance and reliability assurance. In CAN network, i
Externí odkaz:
https://doaj.org/article/b908cb3c492c43659e8c0f46c988b18b
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2805 (2024)
The use of a Controller Area Network (CAN) bus in the automotive industry for connecting electronic control units (ECUs) poses security vulnerabilities due to the lack of built-in security features. Intrusion Detection Systems (IDSs) have emerged as
Externí odkaz:
https://doaj.org/article/c0d3357556c740df8dec6f8b80d73cca
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