Visible to the public Biblio

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2023-01-05
Hammi, Badis, Idir, Mohamed Yacine, Khatoun, Rida.  2022.  A machine learning based approach for the detection of sybil attacks in C-ITS. 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). :1–4.
The intrusion detection systems are vital for the sustainability of Cooperative Intelligent Transportation Systems (C-ITS) and the detection of sybil attacks are particularly challenging. In this work, we propose a novel approach for the detection of sybil attacks in C-ITS environments. We provide an evaluation of our approach using extensive simulations that rely on real traces, showing our detection approach's effectiveness.
2020-10-26
Li, Qingyuan, Wu, Hao, Liu, Lei, Pan, Bin, Dong, Lan.  2018.  A Group based Dynamic Mix Zone Scheme for Location Privacy Preservation in VANETs. 2018 Third International Conference on Security of Smart Cities, Industrial Control System and Communications (SSIC). :1–5.
Modern vehicles are equipped with wireless communication technologies, allowing them to communicate with each other. Through Dedicated Short Range Communication (DSRC), vehicles periodically broadcast beacons messages for safety applications, which gives rise to disclosure of location privacy. A way to protect vehicles location privacy is to have their pseudonyms changed frequently. With restrict to limited resources (such as computation and storage), we propose a group based dynamic mix zone scheme, in which vehicles form a group when their pseudonyms are close to expire. Simulation results confirm that the proposed scheme can protect location privacy and alleviate the storage burden.
2020-09-21
Vasile, Mario, Groza, Bogdan.  2019.  DeMetrA - Decentralized Metering with user Anonymity and layered privacy on Blockchain. 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC). :560–565.
Wear and tear are essential in establishing the market value of an asset. From shutter counters on DSLRs to odometers inside cars, specific counters, that encode the degree of wear, exist on most products. But malicious modification of the information that they report was always a concern. Our work explores a solution to this problem by using the blockchain technology, a layered encoding of product attributes and identity-based cryptography. Merging such technologies is essential since blockchains facilitate the construction of a distributed database that is resilient to adversarial modifications, while identity-based signatures set room for a more convenient way to check the correctness of the reported values based on the name of the product and pseudonym of the owner alone. Nonetheless, we reinforce security by using ownership cards deployed around NFC tokens. Since odometer fraud is still a major practical concern, we discuss a practical scenario centered on vehicles, but the framework can be easily extended to many other assets.