Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Stefano Longari"'
Autor:
Mattia Zago, Stefano Longari, Andrea Tricarico, Michele Carminati, Manuel Gil Pérez, Gregorio Martínez Pérez, Stefano Zanero
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
This article details the methodology and the approach used to extract and decode the data obtained from the Controller Area Network (CAN) buses in two personal vehicles and three commercial trucks for a total of 36 million data frames. The dataset is
Externí odkaz:
https://doaj.org/article/9f642e88da67474dbacc728a5067d78a
Autor:
Stefano Longari, Alessandro Pozone, Jessica Leoni, Mario Polino, Michele Carminati, Mara Tanelli, Stefano Zanero
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-12
Autor:
Alessandro Nichelini, Carlo Alberto Pozzoli, Stefano Longari, Michele Carminati, Stefano Zanero
Publikováno v:
Computers & Security. 128:103166
Publikováno v:
CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 711-723
STARTPAGE=711;ENDPAGE=723;TITLE=CCS '22
De Faveri Tron, A, Longari, S, Carminati, M, Polino, M & Zanero, S 2022, CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks . in CCS '22 : Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security . Proceedings of the ACM Conference on Computer and Communications Security, Association for Computing Machinery, pp. 711-723, 28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, United States, 7/11/22 . https://doi.org/10.1145/3548606.3560618
STARTPAGE=711;ENDPAGE=723;TITLE=CCS '22
De Faveri Tron, A, Longari, S, Carminati, M, Polino, M & Zanero, S 2022, CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks . in CCS '22 : Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security . Proceedings of the ACM Conference on Computer and Communications Security, Association for Computing Machinery, pp. 711-723, 28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, United States, 7/11/22 . https://doi.org/10.1145/3548606.3560618
Current research in the automotive domain has proven the limitations of the CAN protocol from a security standpoint. Application-layer attacks, which involve the creation of malicious packets, are deemed feasible from remote but can be easily detecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99aa6a57e0dda2ae46d9166ccaafc0f7
Intelligent Transportation Systems (ITSs) technology has advanced during the past years, and it is now used for several applications that require vehicles to exchange real-time data, such as in traffic information management. Traditionally, road traf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e5b432b46328d73004a79d78f226200
http://hdl.handle.net/11311/1189373
http://hdl.handle.net/11311/1189373
Autor:
Daniel Humberto Nova Valcarcel, Michele Carminati, Stefano Zanero, Stefano Longari, Mattia Zago
Automotive security has gained significant traction in the last decade thanks to the development of new connectivity features that have brought the vehicle from an isolated environment to an externally facing domain. Researchers have shown that moder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2445ff87a9e8c4258955549ca2bc2a07
http://hdl.handle.net/11311/1152605
http://hdl.handle.net/11311/1152605
Autor:
Andrea Tricarico, Manuel Gil Pérez, Mattia Zago, Stefano Zanero, Michele Carminati, Stefano Longari, Gregorio Martínez Pérez
Publikováno v:
Data in Brief, Vol 29, Iss, Pp-(2020)
Data in Brief
Data in Brief
This article details the methodology and the approach used to extract and decode the data obtained from the Controller Area Network (CAN) buses in two personal vehicles and three commercial trucks for a total of 36 million data frames. The dataset is
Publikováno v:
Politecnico di Milano-IRIS
VNC
VNC
Vehicles have evolved from isolated and mechanical systems into complex ecosystems of on-board networks, composed of Electronic Control Units (ECUs), sensors and actuators, which govern their functionalities. These networks have been traditionally de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc9eef638aee45b7313c99d0d16facd5
http://hdl.handle.net/11311/1120902
http://hdl.handle.net/11311/1120902