More Like this

1. Fundamentals of Vehicular Communication Networks with Vehicle Platoons

   https://doi.org/10.1109/TWC.2023.3264662  

   Pandey, Kaushlendra ; Perumalla, Kanaka Raju ; Gupta, Abhishek K. ; Dhillon, Harpreet S. ( January 2023 , IEEE Transactions on Wireless Communications)
2. A Virtual Prototyping Platform for Exploration of Vehicular Electronics

   https://doi.org/10.1109/JIOT.2023.3267339  

   Kabir, Md Rafiul ; Yedla Ravi, Bhagawat Baanav ; Ray, Sandip ( September 2023 , IEEE Internet of Things Journal)

   A critical requirement for robust, optimized, and secure design of vehicular systems is the ability to do system-level exploration, i.e., comprehend the interactions involved among ECUs, sensors, and communication interfaces in realizing systemlevel use cases and the impact of various design choices on these interactions. This must be done early in the system design to enable the designer to make optimal design choices without requiring a cost-prohibitive design overhaul. In this paper, we develop a virtual prototyping environment for the modeling and simulation of vehicular systems. Our solution, VIVE, is modular and configurable, allowing the user to conveniently introduce new system-level use cases. Unlike other related simulation environments, our platform emphasizes coordination and communication among various vehicular components and just the abstraction of the necessary computation of each electronic control unit. We discuss the ability of VIVE to explore the interactions between a number of realistic use cases in the automotive domain. We demonstrate the utility of the platform, in particular, to create real-time in-vehicle communication optimizers for various optimization targets. We also show how to use such a prototyping environment to explore vehicular security compromises. Furthermore, we showcase the experimental integration and validation of the platform with a hardware setup in a real-time scenario. 

   more » « less
3. Privacy-by-Design Distributed Offloading for Vehicular Edge Computing

   https://doi.org/10.1145/3344341.3368804  

   Ma, Weibin ; Mashayekhy, Lena ( December 2019 , UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing)
4. A Generative Adversarial Approach for Sybil Attacks Recognition for Vehicular Crowdsensing

   https://doi.org/10.1109/ICCVE52871.2022.9743106  

   Jaimes, Luis G. ; Calderon, Juan ; Shriver, Scott ; Hendricks, Antonio ; Lozada, Javier ; Seenith, Sivasundaram ; Chintakunta, Harish ( March 2022 , A Generative Adversarial Approach for Sybil Attacks Recognition for Vehicular Crowdsensing)

   IEEE (Ed.)

   Vehicular crowdsensing (VCS) is a subset of crowd-sensing where data collection is outsourced to group vehicles. Here, an entity interested in collecting data from a set of Places of Sensing Interest (PsI), advertises a set of sensing tasks, and the associated rewards. Vehicles attracted by the offered rewards deviate from their ongoing trajectories to visit and collect from one or more PsI. In this win-to-win scenario, vehicles reach their final destination with the extra reward, and the entity obtains the desired samples. Unfortunately, the efficiency of VCS can be undermined by the Sybil attack, in which an attacker can benefit from the injection of false vehicle identities. In this paper, we present a case study and analyze the effects of such an attack. We also propose a defense mechanism based on generative adversarial neural networks (GANs). We discuss GANs' advantages, and drawbacks in the context of VCS, and new trends in GANs' training that make them suitable for VCS. 

   more » « less
5. ESAC: An Efficient and Secure Access Control Scheme in Vehicular Named Data Networking

   https://doi.org/10.1109/TVT.2020.3004459  

   Jiang, Shunrong ; Liu, Jianqing ; Wang, Liangmin ; Zhou, Yong ; Fang, Yuguang ( September 2020 , IEEE Transactions on Vehicular Technology)

   null (Ed.)