A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking

被引:7
|
作者
Magsi, Arif Hussain [1 ,2 ]
Yovita, Leanna Vidya [3 ]
Ghulam, Ali [2 ]
Muhammad, Ghulam [4 ]
Ali, Zulfiqar [5 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Sindh Agr Univ, Informat Technol Ctr, Tandojam 70060, Pakistan
[3] Telkom Univ, Sch Elect Engn, Bandung 40257, Indonesia
[4] King Saud Univ, Coll Comp & Informat Sci, Dept Comp Engn, Riyadh 11543, Saudi Arabia
[5] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, England
关键词
vehicular network; named data networking; blockchain; content poisoning attack;
D O I
10.3390/su151410931
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Named data networking (NDN) is gaining momentum in vehicular ad hoc networks (VANETs) thanks to its robust network architecture. However, vehicular NDN (VNDN) faces numerous challenges, including security, privacy, routing, and caching. Specifically, the attackers can jeopardize vehicles' cache memory with a Content Poisoning Attack (CPA). The CPA is the most difficult to identify because the attacker disseminates malicious content with a valid name. In addition, NDN employs request-response-based content dissemination, which is inefficient in supporting push-based content forwarding in VANET. Meanwhile, VNDN lacks a secure reputation management system. To this end, our contribution is three-fold. We initially propose a threshold-based content caching mechanism for CPA detection and prevention. This mechanism allows or rejects host vehicles to serve content based on their reputation. Secondly, we incorporate a blockchain system that ensures the privacy of every vehicle at roadside units (RSUs). Finally, we extend the scope of NDN from pull-based content retrieval to push-based content dissemination. The experimental evaluation results reveal that our proposed CPA detection mechanism achieves a 100% accuracy in identifying and preventing attackers. The attacker vehicles achieved a 0% cache hit ratio in our proposed mechanism. On the other hand, our blockchain results identified tempered blocks with 100% accuracy and prevented them from storing in the blockchain network. Thus, our proposed solution can identify and prevent CPA with 100% accuracy and effectively filters out tempered blocks. Our proposed research contribution enables the vehicles to store and serve trusted content in VNDN.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Performance of Named Data Networking in Urban Vehicular Communications
    Contoli, Chiara
    Cerroni, Walter
    Callegati, Franco
    Pau, Giovanni
    2014 16TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON), 2014,
  • [32] Evaluating Interest Broadcast in Vehicular Named Data Networking
    Kuai, Meng
    Hong, Xiaoyan
    Flores, Roberto Raguze
    2014 THIRD GENI RESEARCH AND EDUCATIONAL EXPERIMENT WORKSHOP (GREE), 2014, : 77 - 78
  • [33] An in-network collaborative verification mechanism for defending content poisoning in Named Data Networking
    Kang, Haohao
    Zhu, Yi
    Tao, Yu
    Yang, Jianlong
    PROCEEDINGS OF 2018 1ST IEEE INTERNATIONAL CONFERENCE ON HOT INFORMATION-CENTRIC NETWORKING (HOTICN 2018), 2018, : 46 - 50
  • [34] False-Locality Attack Detection Using CNN in Named Data Networking
    Zeng, Yujie
    Wu, Guowei
    Wang, Rui
    Obaidat, Mohammad S.
    Hsiao, Kuei-Fang
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [35] Reliable Detection of Interest Flooding Attack in Real Deployment of Named Data Networking
    Tan Nguyen
    Hoang-Long Mai
    Cogranne, Remi
    Doyen, Guillaume
    Mallouli, Wissam
    Luong Nguyen
    El Aoun, Moustapha
    de Oca, Edgardo Montes
    Festor, Olivier
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019, 14 (09) : 2470 - 2485
  • [36] SCAN: Smart Collaborative Attack in Named Data Networking
    Buragohain, Madhurima
    Kathar, Chinmoy Jyoti
    Kachari, Chinmoy
    Nandi, Sunit Kumar
    Nandi, Sukumar
    PROCEEDINGS OF THE 2020 IEEE 45TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2020), 2020, : 124 - 133
  • [37] Detecting and Mitigating DDoS Attack in Named Data Networking
    Alhisnawi, Mohammad
    Ahmadi, Mahmood
    JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2020, 28 (04) : 1343 - 1365
  • [38] Detecting and Mitigating DDoS Attack in Named Data Networking
    Mohammad Alhisnawi
    Mahmood Ahmadi
    Journal of Network and Systems Management, 2020, 28 : 1343 - 1365
  • [39] A scalable, dynamic, and secure traffic management system for vehicular named data networking applications
    Araujo, Guilherme
    Sampaio, Leobino
    AD HOC NETWORKS, 2024, 158
  • [40] DENA: An Intelligent Content Discovery System Used in Named Data Networking
    Zhang, Hengyang
    Xie, Renchao
    Zhu, Shixiang
    Huang, Tao
    Liu, Yunjie
    IEEE ACCESS, 2016, 4 : 9093 - 9107