Blockchain-based Secure and Intelligent Sensing Scheme for Autonomous Vehicles Activity Tracking Beyond 5G Networks

被引:0
作者
Dakshita Reebadiya
Tejal Rathod
Rajesh Gupta
Sudeep Tanwar
Neeraj Kumar
机构
[1] Nirma University,Department of Computer Science and Engineering, Institute of Technology
[2] Deemed to be University,Department of Computer Science Engineering, Thapar Institute of Engineering and Technology
[3] School of Computer Science,Department of Computer Science and Information Engineering
[4] University of Petroleum and Energy Studies,undefined
[5] Asia University,undefined
[6] King Abdul Aziz University,undefined
来源
Peer-to-Peer Networking and Applications | 2021年 / 14卷
关键词
Autonomous vehicle; Blockchain; Security; Sensing; Tracking; Beyond 5G network; Artificial intelligence;
D O I
暂无
中图分类号
学科分类号
摘要
For the past few years, the automation of transportation becomes a hot research topic for smart cities. Intelligent Transportation System (ITS) aims to manage and optimize the traffic congestion, road accidents, parking allocation using Autonomous Vehicles (AV) system, where the AVs are internally connected for message passing and critical decision making in time-sensitive applications. The data security in such applications can be offered using Blockchain (BC) technology. But, as per the existing literature, there exists no system which can call AVs automatically based on the situation, i.e., call an ambulance in case of an accident, call logistic service in case of home transfer, and call the traffic department in case of traffic jam. Motivated from the aforementioned reasons, in this article, we propose a BC-based secure and intelligent sensing and tracking architecture for AV system using beyond 5G communication network. Recently, AVs are facing issues with sensing and tracking technology as well as the data thefts. AV system contains sensitive information and transfers it through a communication channel to Connected AVs (CAVs), where the corrupted information or delay of a fraction of a second can lead to a critical situation. So, here we present possib the attacks and safety countermeasures using BC technology to protect the AV system. The proposed architecture ensures secure sensing and tracking of an object through BC by deploying AI algorithms at the edge servers. Also, the beyond 5G network enables communications with low latency and high reliability to meet the desires of the aforementioned time-sensitive applications. The proposed system is evaluated by considering the parameters as mobility and data transfer time against the traditional LTE-A and 5G communication networks. The proposed system outperforms traditional systems and can be suitable for diverse applications where latency, reliability, and security are the prime concerns.
引用
收藏
页码:2757 / 2774
页数:17
相关论文
共 62 条
  • [1] Chowdhury MZ(2020)6G wireless communication systems: applications, requirements, technologies, challenges, and research directions IEEE Open J Commun Soc 1 957-975
  • [2] Shahjalal M(2020)Driverless vehicle security: Challenges and future research opportunities Futur Gener Comput Syst 108 1092-1111
  • [3] Ahmed S(2011)Enabling safe autonomous driving in real-world city traffic using multiple criteria decision making IEEE Intell Transp Syst Mag 3 4-17
  • [4] Jang YM(2020)Toward 6g networks: Use cases and technologies IEEE Commun Mag 58 55-61
  • [5] De La Torre G(2020)Toward 6g networks: Use cases and technologies IEEE Commun Mag 58 55-61
  • [6] Rad P(2020)Smart contract privacy protection using ai in cyber-physical systems: tools, techniques and challenges IEEE Access 8 24746-24772
  • [7] Choo K-KR(2018)An autonomous vehicle using lidar sensor Int J Pure Appl Math 119 1593-1596
  • [8] Furda A(2019)Internet of autonomous vehicles communications security: overview, issues, and directions IEEE Wirel Commun 26 60-65
  • [9] Vlacic L(2020)A taxonomy of ai techniques for 6g communication networks Comput Commun 161 279-303
  • [10] Giordani M(2000)Multisensor obstacle detection and tracking Image Vis Comput 18 389-396