Timestamp based detection of sybil attack in VANET

被引:0
|
作者
Faisal, Syed Mohd [1 ]
Zaidi, Taskeen [1 ]
机构
[1] Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, Village Hadauri, Post Tindola, Lucknow-Deva Road, Barabanki, Uttar Pradesh,225003, India
关键词
Hash functions - Vehicle to vehicle communications - Computer crime - Vehicular ad hoc networks - Vehicles;
D O I
10.6633/IJNS.20200522(3).05
中图分类号
学科分类号
摘要
VANET is a subset of MANET in which communication among the vehicles may be done using vehicle-to-vehicle or roadside infrastructure. But there may be chances of attacks in VANET due to mobility of nodes and random change in topology. One of the prominent attack is Sybil attack in which attacker creates multiple false identities to disturb the functionality of VANET. In literature many solution have been proposed for detection and protection of vehicles from Sybil attack. In the current work, authors have proposed a Sybil node detection technique based on timestamp mechanism. In this work timestamp is a unique certificate provided by RSU to all vehicles on the road in VANET. In the proposed work for node discovery and data transmission, we used Ad-hoc On Demand Distance Vector (AODV) Routing protocol and timestamp as a hash function of public key and for detection of the Sybil node implemented through NS2 simulator. © 2020 Femto Technique Co., Ltd.
引用
收藏
页码:399 / 410
相关论文
共 50 条
  • [41] Enhanced Lightweight Sybil Attack Detection Technique
    Sharma, Himika
    Garg, Roopali
    2014 5TH INTERNATIONAL CONFERENCE CONFLUENCE THE NEXT GENERATION INFORMATION TECHNOLOGY SUMMIT (CONFLUENCE), 2014, : 476 - 481
  • [42] VANET Cluster Based Gray Hole Attack Detection and Prevention
    Kaur G.
    Khurana M.
    Kaur A.
    SN Computer Science, 5 (1)
  • [43] A Robust Detection of the Sybil Attack in Urban VANETs
    Chen, Chen
    Wang, Xin
    Han, Weili
    Zang, Binyu
    ICDCS: 2009 INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, 2009, : 270 - 276
  • [44] Sybil Attack Detection in VANETs: An LSTM-Based BiGAN Approach
    Zhong, Yongchao
    Yang, Haonan
    Li, Ying
    Yang, Bo
    Li, Xiaoqi
    Yue, Qiuling
    Hu, Jinglu
    Zhang, Yuqing
    2023 INTERNATIONAL CONFERENCE ON DATA SECURITY AND PRIVACY PROTECTION, DSPP, 2023, : 113 - 120
  • [45] Voiceprint: A Novel Sybil Attack Detection Method Based on RSSI for VANETs
    Yao, Yuan
    Xiao, Bin
    Wu, Gaofei
    Liu, Xue
    Yu, Zhiwen
    Zhang, Kailong
    Zhou, Xingshe
    2017 47TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN), 2017, : 591 - 602
  • [46] Fuzzy Based Collaborative Verification System for Sybil Attack Detection in MANET
    Hariharan Rajadurai
    Usha Devi Gandhi
    Wireless Personal Communications, 2020, 110 : 2179 - 2193
  • [47] Robust Sybil Attack Detection in Vehicular Networks
    Tulay, Halit Bugra
    Koksal, Can Emre
    2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
  • [48] VANET Routing Replay Attack Detection Research Based on SVM
    Fan, Qing Gang
    Wang, Li
    Cai, Yan Ning
    Li, Yong Qiang
    Chen, Jing
    2016 INTERNATIONAL CONFERENCE ON MECHATRONICS, MANUFACTURING AND MATERIALS ENGINEERING (MMME 2016), 2016, 63
  • [49] Sybil attack detection in a hierarchical sensor network
    Yin, Jian
    Madria, Sanjay Kumar
    2007 THIRD INTERNATIONAL CONFERENCE ON SECURITY AND PRIVACY IN COMMUNICATION NETWORKS AND WORKSHOPS, 2007, : 494 - 503
  • [50] Sybil Attack Detection In Wireless Sensor Networks
    Zhukabayeva, T. K.
    Mardenov, E. M.
    Abdildaeva, A. A.
    2020 IEEE 14TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT2020), 2020,