A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Analyzing the effectiveness of IDS/IPS in real-time with a custom in-vehicle design
Tekijät: Adu-Kyere, Akwasi; Nigussie, Ethiopia; Isoaho, Jouni
Toimittaja: Shakshuki, Elhadi
Konferenssin vakiintunut nimi: International Conference on Ambient Systems, Networks and Technologies Networks
Julkaisuvuosi: 2024
Journal: Procedia Computer Science
Kokoomateoksen nimi: The 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40), April 23-25, 2024, Hasselt University, Belgium
Tietokannassa oleva lehden nimi: Procedia Computer Science
Vuosikerta: 238
Aloitussivu: 175
Lopetussivu: 183
eISSN: 1877-0509
DOI: https://doi.org/10.1016/j.procs.2024.06.013
Verkko-osoite: https://doi.org/10.1016/j.procs.2024.06.013
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/457186451
The era of ubiquitously interconnected, intelligent, and self-driving automobiles approaches as contemporary vehicles undergo gradual enhancements in terms of security catalyzed by security analysis in various modules, algorithms, operating systems, and soft and hardware nodes. This work examines the application of a dynamic Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) in real-time using a Renault T520 Heavy-duty truck. It assesses the effectiveness of the security analysis procedure and its execution, focusing on the quality of the analysis concerning data derived from experiment sources. The validation of the security implementation adheres to a unified inbound and outbound.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
This research was performed within the “Programmable Systems for Intelligence in Auto- mobiles” (PRYSTINE) project. PRYSTINE has received funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programme and National Authorities, under Grant No. 783190.
