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 // ICWMC 2019, The Fifteenth International Conference on Wireless and Mobile Communications // View article icwmc_2019_2_30_20062


Malicious Node Detection Method against Message Flooding Attacks in Sparse Mobile Ad-Hoc Networks

Authors:
Takuya Idezuka
Tomotaka Kimura
Kouji Hirata
Masahiro Muraguchi

Keywords: DTN; store-carry-forward routing; sparse mobile ad- hoc networks; message flooding

Abstract:
In recent years, many store-carry-forward routing schemes have been proposed for sparse mobile ad-hoc networks, which are the most representative networks in Delay/Disruption Tolerant Networking (DTN) environments. In general, store- carry-forward routing schemes are designed under an assumption that all nodes in the network are cooperative. Therefore, they are highly vulnerable to malicious behaviors. In this paper, we propose a malicious node detection method for message flooding attacks in which malicious nodes generate a lot of unnecessary messages to exhaust network resources. Our proposed method detects suspicious nodes in a distributed manner. Specifically, each node records suspicious scores for other nodes in the network. Whenever two nodes encounter each other, their suspicious scores are updated based on the number of messages received from the encounter nodes. Therefore, the increase in the suspicious score indicates that the scored node frequently generates and forwards the messages. After each node sufficiently updates suspicious scores, it identifies malicious nodes based on their suspicious scores. Through simulation experiments, we show the effectiveness of the proposed method.

Pages: 26 to 29

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-719-1

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019

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