Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TITS.2024.3509459.Alkhatib) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
Aliwa, E., Rana, O., Perera, C., & Burnap, P. (2021). Cyberattacks and countermeasures for in-vehicle networks. ACM Computing Surveys, 54(1), 1–37. Aljabri, W., Hamid, M. A., & Mosli, R. (2025a). Lightweight and adaptive data-driven intrusion detection system for autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 26(2), 2282–2292. 1 https://www.raspberrypi.com/ 2 https://www.nvidia.com/en-us/autonomous-machines/embedded- systems/ Aljabri, W., Hamid, M. A., & Mosli, R. (2025b). Lightweight and adaptive data-driven intrusion detection system for autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 26(2), 2282–2292. http://dx.doi.org/10.1109/TITS.2024. 3509459. Alkhatib, N., Mushtaq, M., Ghauch, H., & Danger, J.-L. (2022). CAN-BERT do it? Controller area network intrusion detection system based on BERT language model. arXiv preprint arXiv:2210.09439. Alladi, T., Kohli, V., Chamola, V., Yu, F. R., & Guizani, M. (2021). Artificial intelli- gence (AI)-empowered intrusion detection architecture for the internet of vehicles. IEEE Wireless Communications, 28(3), 144–149. http://dx.doi.org/10.1109/MWC. 001.2000428. Althunayyan, M., Javed, A., Rana, O., & Baker, T. (2024). Hierarchical federated learning-based intrusion detection for in-vehicle networks. Future Internet, 16(12). Aswal, K., & Pathak, H. (2024). Advancing vehicle security: Deep learning based solution for defending CAN networks in the internet of vehicles.. EAI Endorsed
Evidence payload
{
"printed_excerpt": "Aliwa, E., Rana, O., Perera, C., & Burnap, P. (2021). Cyberattacks and countermeasures for in-vehicle networks. ACM Computing Surveys, 54(1), 1\u201337. Aljabri, W., Hamid, M. A., & Mosli, R. (2025a). Lightweight and adaptive data-driven intrusi",
"reconstructed_doi": "10.1109/TITS.2024.3509459.Alkhatib",
"ref_index": 2,
"resolved_title": null,
"verdict_class": "incontrovertible"
}