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Cited by 138Vehicular Ad Hoc Networks (VANETs)Security in Wireless Sensor NetworksMobile Ad Hoc Networks

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Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm

Kumar, Ankit, Varadarajan, Vijayakumar, Kumar, Abhishek, Dadheech, Pankaj, Choudhary, Surendra Singh, Kumar, V.D. Ambeth, Panigrahi, B.K., Veluvolu, Kalyana C.·2021·Microprocessors and Microsystems
DOI 10.1016/j.micpro.2020.103352
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Crossref · 10.1016/j.micpro.2020.103352

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  • VANETs' self-organizing, decentralized, and highly dynamic nature introduces serious security vulnerabilities, particularly to DDoS attacks.

    “However, VANETs’ self-organizing, decentralized, and highly dynamic nature introduces serious security vulnerabilities5, particularly to Distributed Denial of Service (DDoS) attacks6,7.”

    From A Hybrid Deep Learning Model for Detection and Mitigation of DDoS Attacks in VANETs (2025) · cites this paper as [7]

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Research works printed but not linked: 33

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  8. Khan, 2019, Secure trust-based blockchain architecture to prevent attacks in VANET, Sensors, 19, 4954, 10.3390/s19224954 · DOI
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  15. SathyaNarayanan, 2019, A sensor-enabled secure vehicular communication for emergency message dissemination using cloud services, Digit. Signal Process., 85, 10, 10.1016/j.dsp.2018.06.003 · DOI
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  17. Purohit, 2017, Mitigation and performance analysis of routing protocols under black-hole attack in vehicular ad-hoc network (VANET), Wirel. Personal Commun., 97, 5099, 10.1007/s11277-017-4770-6 · DOI
  18. Baiad, 2016, Novel cross layer detection schemes to detect blackhole attack against QoSOLSR protocol in VANET, Veh. Commun., 5, 9
  19. Khan, 2019, Multi-layer problems and solutions in VANETs: a review, Electronics, 8, 204, 10.3390/electronics8020204 · DOI
  20. Chiti, 2019, A distributed token passing protocol for time constrained data gathering in VANETs, Electronics, 8, 823, 10.3390/electronics8080823 · DOI
  21. Ali Zardari, 2019, A dual attack detection technique to identify black and gray hole attacks using an intrusion detection system and a connected dominating set in MANETs, Future Internet, 11, 61, 10.3390/fi11030061 · DOI
  22. K.A. Yadav and P. Vijayakumar, “VANET and its security aspects: a review,” Indian J. Sci. Technol., vol. 9, no. 44, 2016. · DOI
  23. Ali Zardari, 2019, A dual attack detection technique to identify black and gray hole attacks using an intrusion detection system and a connected dominating set in MANETs, Future Internet, 11, 61, 10.3390/fi11030061 · DOI
  24. Ahsan, 2020, Optimized node clustering in VANETs by using meta-heuristic algorithms, Electronics, 9, 394, 10.3390/electronics9030394 · DOI
  25. Balaram, 2016, “Resilient privacy preservation scheme to detect Sybil attacks in vehicular ad hoc networks, Indian J. Sci. Technol., 9, 48, 10.17485/ijst/2016/v9i48/99870 · DOI
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  28. Yang, 2019, DeQoS attack: degrading quality of service in VANETs and its mitigation, IEEE Trans. Veh. Technol., 68, 4834, 10.1109/TVT.2019.2905522 · DOI
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Metadata

Authors
Kumar, A., Varadarajan, V., Kumar, A., Dadheech, P., Choudhary, S. S., Kumar, V. D. A., Panigrahi, B. K., & Veluvolu, K. C.
Affiliations
  • Banaras Hindu University (IN)
  • UNSW Sydney (AU)
  • Anna University, Chennai (IN)
  • Indian Institute of Technology Delhi (IN)
  • Kyungpook National University (KR)
Corresponding author
Veluvolu, Kalyana C.
ORCID
Venue
Microprocessors and Microsystems
Publisher
Elsevier BV
Published
2021-02
Volume
80
Pages
103352
ISSN
0141-9331 (ISSN-L)
DOI
10.1016/j.micpro.2020.103352
OpenAlex
W3093572925
Cited by
138
References
0
Citations by year
2026: 4 · 2025: 20 · 2024: 27 · 2023: 33 · 2022: 29 · 2021: 24
FWCI
7.47
Type
journal article
Language
en
Open access
closed
Licence
Locations
Microprocessors and Microsystems (publishedVersion)
Funders
Kyungpook National University Bokhyeon Research Fund
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
  • Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
Keywords
black hole attack, vehicular ad hoc networks, AODV routing protocol, secure routing, attack detection, vehicle-to-vehicle communication, vehicle-to-infrastructure communication, packet delivery ratio, end-to-end delay

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