A Trust Model Focusing on Node Usage in Mobile Ad Hoc Networks

Nanaka Asai, Sonoko Goka, Hiroshi Shigeno

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Mobile ad hoc networks (MANETs), where nodes can communicate without an infrastructure, require all nodes to be cooperative enough to transfer packets for other nodes. MANETs have been studied for decades, due to its characteristics which are infrastructureless and distributed. However, the existence of malicious nodes that drop packets for their resource protection is one of the important issues of the present research. Reputation systems using trust model have been proposed to detect malicious nodes in MANETs. Here, the trust value indicates the degree of reliance. One of the attacks in MANETs is On-Off attack on which attack nodes keep trust above a certain level by repeating forwarding and dropping packets. In this paper, we propose a trust model focusing on node usage against MANETs On-Off attack (TMUMO). In this study, we detect On-Off attack nodes by considering the characteristics of On-Off attack. Through simulation experiments, we improve detection rate of attack nodes and packet delivery rate in MANETs, and show feasibility of our trust model.

本文言語English
ホスト出版物のタイトル2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ517-522
ページ数6
ISBN(電子版)9781538691519
DOI
出版ステータスPublished - 2019 3
イベント2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 - Kyoto, Japan
継続期間: 2019 3 112019 3 15

出版物シリーズ

名前2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019

Conference

Conference2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
CountryJapan
CityKyoto
Period19/3/1119/3/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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