NexTech 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
  • GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
  • CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems

SoftNet 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances
  • ICSNC 2021, The Sixteenth International Conference on Systems and Networks Communications
  • CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2021, The Thirteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
  • SOTICS 2021, The Eleventh International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2021, The Tenth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2021, The Sixth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

NetWare 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2021, The Twelfth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2021, The Thirteenth International Conference on Advances in Future Internet
  • CENICS 2021, The Fourteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2021, The Fifteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2021, The Seventh International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2021, The Sixth International Conference on Green Communications, Computing and Technologies

TrendNews 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • CORETA 2021, Advances on Core Technologies and Applications
  • DIGITAL 2021, Advances on Societal Digital Transformation

 


ThinkMind // VEHICULAR 2013, The Second International Conference on Advances in Vehicular Systems, Technologies and Applications // View article vehicular_2013_2_40_60067


A Time-series Clustering Approach for Sybil Attack Detection in Vehicular Ad hoc Networks

Authors:
Neelanjana Dutta
Sriram Chellappan

Keywords: Sybil attack; vehicular ad hoc networks; platoon dispersion; fuzzy time series clustering.

Abstract:
Sybil attack is a security threat wherein an attacker creates and uses multiple counterfeit identities risking trust and functionality of a peer-to-peer system. Sybil attack in vehicular ad hoc networks is an emergent threat to the services and security of the system. In the highly dynamic environment of vehicular ad hoc networks, due to mobility and density of nodes, it is challenging to detect the nodes that are launching Sybil attack. Existing techniques mostly use additional hardware or complex cryptographic solutions for Sybil attack detection in vehicular ad hoc networks. In this paper, we propose a fuzzy time-series clustering based approach that does not require any additional hardware or infrastructure support for Sybil attack detection in vehicular ad hoc networks. The proposed technique leverages the dispersion of vehicle platoons over time in a network and detects Sybil nodes as those which are traveling closely in a cluster for an unusually long time. Simulation results and analysis show that the approach is able to identify Sybil nodes with very low false positive and false negative rates even under varying intensity of attack.

Pages: 35 to 40

Copyright: Copyright (c) IARIA, 2013

Publication date: July 21, 2013

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-288-2

Location: Nice, France

Dates: from July 21, 2013 to July 26, 2013

SERVICES CONTACT
2010 - 2017 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.