Lightweight Cryptography for Connected Vehicles Communication Security on Edge Devices

被引:1
|
作者
Boubaker, Sahbi [1 ]
Alsubaei, Faisal S. [2 ]
Said, Yahia [3 ]
Ahmed, Hossam E. [3 ]
机构
[1] Univ Jeddah, Coll Comp Sci & Engn, Dept Comp & Network Engn, Jeddah 21959, Saudi Arabia
[2] Univ Jeddah, Coll Comp Sci & Engn, Dept Cybersecur, Jeddah 23218, Saudi Arabia
[3] Northern Border Univ, Coll Engn, Elect Engn Dept, Ar Ar 91431, Saudi Arabia
关键词
connected vehicles; vehicle to vehicle communication; security; data encryption; FPGA; V2V COMMUNICATION;
D O I
10.3390/electronics12194090
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent advances in mobile connection technology have been involved in every aspect of modern life. Even vehicles are becoming more connected, with the ability to communicate without human intervention. The main idea of connected vehicles is to exchange information to avoid a potential collision or to warn the driver about stop signs/lights. To achieve a wide range of connections between vehicles, they must be equipped with connected devices such as Bluetooth, wi-fi, and cellular connectivity. However, communication raises security issues with regard to cybersecurity attacks that attempt to collect confidential information or to take control of the vehicle by forcing unintended braking or steering. In this paper, we proposed a secure vehicle-to-vehicle (V2V) communication approach by deploying a secure communication protocol based on a key management process and a cryptography system to encrypt exchanged data. The proposed key management process was designed to resist many attacks and eliminate connections to the infrastructure for key generation. Since vehicles are equipped with embedded devices with limited computation resources, a lightweight cryptography algorithm was used. The light encryption device (LED) block cipher was used to encrypt exchanged data. The LED has a low implementation area on hardware and low power consumption. It is considered to be a perfect solution for security issues in connected vehicles. The proposed data encryption algorithm was synthesized with VHDL on the Xilinx Zynq-7020 FPGA using the Vivado HLS tool. The encryption algorithm was implemented only on the logic of the device. The achieved results proved that the proposed algorithm is suitable for implementation in vehicles due to its low implementation requirements and low power consumption in addition to its high security level against cyber-attacks.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Cloud and Edge Computing for Connected and Automated Vehicles
    Zhu, Qi
    Yu, Bo
    Wang, Ziran
    Tango, Jie
    Chen, Qi Alfred
    Li, Zihao
    Liu, Xiangguo
    Luo, Yunpeng
    Tu, Lingzi
    FOUNDATIONS AND TRENDS IN ELECTRONIC DESIGN AUTOMATION, 2023, 14 (1-2): : 1 - 170
  • [32] Multichain-Assisted Lightweight Security for Code Mutated False Data Injection Attacks in Connected Autonomous Vehicles
    Siddiqi, Sadia Jabeen
    Tahir, Bushra
    Jan, Mian Ahmad
    Tariq, Muhammad
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (09) : 1 - 11
  • [33] Towards a Security Assurance Framework for Connected Vehicles
    Pantazopoulos, Panagiotis
    Haddad, Sammy
    Lambrinoudakis, Costas
    Kalloniatis, Christos
    Maliatsos, Konstantinos
    Kanatas, Athanasios
    Varadi, Andras
    Gay, Matthieu
    Amditis, Angelos
    2018 IEEE 19TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2018,
  • [34] SECURITY STUDY AND CHALLENGES OF CONNECTED AUTONOMOUS VEHICLES
    Meryem, Sghiri
    Mazri, Tomader
    4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19), 2019,
  • [35] Aspects of Cyber Security in Autonomous and Connected Vehicles
    Mudhivarthi, Bhavesh Raju
    Thakur, Prabhat
    Singh, Ghanshyam
    APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [36] Reducing Security Overhead in the Context of Connected Vehicles
    Boutahala, Ramzi
    Ayaida, Marwane
    Fouchal, Hacene
    2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 4304 - 4309
  • [37] Lightweight Monocular Depth Estimation on Edge Devices
    Liu, Siping
    Yang, Laurence Tianruo
    Tu, Xiaohan
    Li, Renfa
    Xu, Cheng
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (17) : 16168 - 16180
  • [38] Advanced Information and Communication Technology for Connected Vehicles and Autonomous Vehicles
    Yu, F. Richard
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (06) : 4515 - 4516
  • [39] Interoperability and Lightweight Security for Simple IoT Devices
    Androcec, Darko
    Tomas, Boris
    Kisasondi, Tonimir
    2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2017, : 1285 - 1291
  • [40] An Enhanced Energy Efficient Lightweight Cryptography Method for various IoT devices
    Prakasam, P.
    Madheswaran, M.
    Sujith, K. P.
    Sayeed, Md Shohel
    ICT EXPRESS, 2021, 7 (04): : 487 - 492