Source code used for detecting tampering using the Exact Euclidean Locality Sensitive Hashing (E2LSH) method. Experimental results were conducted on a dataset collected from the On-Board Diagnostics port (OBD) of a Kia SOUL vehicle demonstrate the practical applicability of the developed methodology.
Paper link: https://dl.acm.org/doi/abs/10.1145/3407023.3409206
Online pdf: https://nislab.umfst.ro/files/IWCC_LSH2020.pdf
@inproceedings{10.1145/3407023.3409206,
author = {Bolboac\u{a}, Roland and Lenard, Teri and Genge, B\'{e}la and Haller, Piroska},
title = {Locality Sensitive Hashing for Tampering Detection in Automotive Systems},
year = {2020},
isbn = {9781450388337},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3407023.3409206},
doi = {10.1145/3407023.3409206},
booktitle = {Proceedings of the 15th International Conference on Availability, Reliability and Security},
articleno = {57},
numpages = {7},
keywords = {controller area networks, locality sensitive hashing, anomaly detection},
location = {Virtual Event, Ireland},
series = {ARES '20}
}
Original dataset was provided by: https://ocslab.hksecurity.net/Datasets/driving-dataset
To be uploaded ...