Quantum-based Automotive Threat Intelligence and Countermeasures-Reference-Cited by-同舟云学术

Quantum-based Automotive Threat Intelligence and Countermeasures

Published:2024-06-18 Issue: Volume:1 Page:548-554
ISSN:
Container-title:Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering
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Author:

Barletta Vita Santa¹^ORCID,Caivano Danilo¹^ORCID,Catalano Christian²^ORCID,De Vincentiis Mirko¹^ORCID

Affiliation:

1. University of Bari Aldo Moro, Italy

2. University of Salento, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661167.3661278

Reference36 articles.

1. Intrusion Detection Systems for Intra-Vehicle Networks: A Review

2. Asma Alfardus and Danda B Rawat. 2021. Intrusion detection system for can bus in-vehicle network based on machine learning algorithms. In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 0944–0949.

3. Teresa Baldassarre Nicola Boffoli Danilo Caivano and Giuseppe Visaggio. 2004. Managing Software Process Improvement (SPI) through Statistical Process Control (SPC). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3009 (2004) 30 – 46. https://doi.org/10.1007/978-3-540-24659-6_3

4. Vita Santa Barletta, Danilo Caivano, Christian Catalano, Mirko De Vincentiis, and Anibrata Pal. 2023. Machine learning for automotive security in technology transfer. In World Conference on Information Systems and Technologies. Springer, 341–350.

5. Vita Santa Barletta, Danilo Caivano, Mirko De Vincentiis, Alessio Magrì, and Antonio Piccinno. 2022. Quantum optimization for IoT security detection. In International Symposium on Ambient Intelligence. Springer, 187–196.