A4 Refereed article in a conference publication
Analyzing the effectiveness of IDS/IPS in real-time with a custom in-vehicle design
Authors: Adu-Kyere, Akwasi; Nigussie, Ethiopia; Isoaho, Jouni
Editors: Shakshuki, Elhadi
Conference name: International Conference on Ambient Systems, Networks and Technologies Networks
Publication year: 2024
Journal: Procedia Computer Science
Book title : 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
Journal name in source: Procedia Computer Science
Volume: 238
First page : 175
Last page: 183
eISSN: 1877-0509
DOI: https://doi.org/10.1016/j.procs.2024.06.013(external)
Web address : https://doi.org/10.1016/j.procs.2024.06.013(external)
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/457186451(external)
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.
Downloadable publication This is an electronic reprint of the original article. |  |
Funding information in the publication:
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.
