MobilityGPT: Enhanced Human Mobility Modeling with a GPT model

Autor: Haydari, Ammar, Chen, Dongjie, Lai, Zhengfeng, Zhang, Michael, Chuah, Chen-Nee

Generative models have shown promising results in capturing human mobility characteristics and generating synthetic trajectories. However, it remains challenging to ensure that the generated geospatial mobility data is semantically realistic, includi

Externí odkaz: http://arxiv.org/abs/2402.03264

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility

Autor: Haydari, Ammar, Chuah, Chen-Nee, Zhang, Michael, Macfarlane, Jane, Peisert, Sean

Location data is collected from users continuously to understand their mobility patterns. Releasing the user trajectories may compromise user privacy. Therefore, the general practice is to release aggregated location datasets. However, private inform

Externí odkaz: http://arxiv.org/abs/2112.08487

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RSU-Based Online Intrusion Detection and Mitigation for VANET.

Autor: Haydari A; Electrical Engineering Department, University of South Florida, Tampa, FL 33620, USA., Yilmaz Y; Electrical Engineering Department, University of South Florida, Tampa, FL 33620, USA.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 08; Vol. 22 (19). Date of Electronic Publication: 2022 Oct 08.