Performance Evaluation of Trust-based Collaborative Sanctioning in MANETs

被引:1
|
作者
Seredynski, Marcin [1 ]
Aggoune, Riad [1 ]
Szczypiorski, Krzysztof [2 ]
Khadraoui, Djamel [1 ]
机构
[1] Publ Res Ctr Henri Tudor, Luxembourg, Luxembourg
[2] Warsaw Univ Technol, Fac Elect & Informat Technol, Warsaw, Poland
关键词
Trust management; collaborative sanctioning; soft security; mobile ad hoc networks; cognitive networks; AD-HOC NETWORKS; COOPERATION;
D O I
10.1109/TrustCom.2013.14
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Collaborative sanctioning (CS) is necessary in mobile ad hoc networks (MANETs), as cooperation in packet forwarding of network members is crucial. CS provides incentives for good behaviour, hence, it induces nodes with self-regarding preferences to act cooperatively. CS requires nodes to use mechanisms that will evaluate how cooperative are peers requesting forwarding service. In this article we investigate the conditions where the most simple and reliable mechanism based on a trust system is sufficient for CS, from the conditions where it needs to be extended with a reputation system. Using a simple model of MANETs we demonstrate that the basic approach-a trust system that uses personal evidence-if applied by the majority of nodes-results in poor network performance. However, if general evidence is used in addition to the personal one, the performance of the network is relatively good as long as the number of non-cooperative nodes is low. We show that extension of a trust system with a reputation system always improves performance of the network. Nevertheless, the need for a reputation system is strongest when the majority of nodes uses personal evidence.
引用
收藏
页码:81 / 88
页数:8
相关论文
共 50 条
  • [21] A trust-based security environment in MANET: definition and performance evaluation
    Aida Ben Chehida Douss
    Ryma Abassi
    Sihem Guemara El Fatmi
    Annals of Telecommunications, 2017, 72 : 491 - 498
  • [22] A trust-based security environment in MANET: definition and performance evaluation
    Douss, Aida Ben Chehida
    Abassi, Ryma
    El Fatmi, Sihem Guemara
    ANNALS OF TELECOMMUNICATIONS, 2017, 72 (7-8) : 491 - 498
  • [23] An Efficient Trust-Based Scheme for Secure and Quality of Service Routing in MANETs
    Pathan, Muhammad Salman
    Zhu, Nafei
    He, Jingsha
    Zardari, Zulfiqar Ali
    Memon, Muhammad Qasim
    Hussain, Muhammad Iftikhar
    FUTURE INTERNET, 2018, 10 (02)
  • [24] TQOR: Trust-based QoS-Oriented Routing in Cognitive MANETs
    Asaadi, Shima
    Alikhademi, Kiana
    Eshghi, Farshad
    Gilbert, Juan E.
    2017 IEEE 16TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), 2017, : 53 - 60
  • [25] Reconfiguration time and complexity minimized trust-based clustering scheme for MANETs
    Sunho Seo
    Jin-Won Kim
    Jae-Dong Kim
    Jong-Moon Chung
    EURASIP Journal on Wireless Communications and Networking, 2017
  • [26] Reconfiguration time and complexity minimized trust-based clustering scheme for MANETs
    Seo, Sunho
    Kim, Jin-Won
    Kim, Jae-Dong
    Chung, Jong-Moon
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2017,
  • [27] Trust-based collaborative defences in multi network alliances
    Koning, Ralph
    Deljoo, Ameneh
    Meijer, Lydia
    de Laat, Cees
    Grosso, Paola
    2019 3RD CYBER SECURITY IN NETWORKING CONFERENCE (CSNET), 2019,
  • [28] On Blockchain Architectures for Trust-based Collaborative Intrusion Detection
    Kolokotronis, Nicholas
    Brotsis, Sotirios
    Germanos, Georgios
    Vassilakis, Costas
    Shiaeles, Stavros
    2019 IEEE WORLD CONGRESS ON SERVICES (IEEE SERVICES 2019), 2019, : 21 - 28
  • [29] A User Trust-Based Collaborative Filtering Recommendation Algorithm
    Zhang, Fuzhi
    Bai, Long
    Gao, Feng
    INFORMATION AND COMMUNICATIONS SECURITY, PROCEEDINGS, 2009, 5927 : 411 - 424
  • [30] Multi-faceted Trust-based Collaborative Filtering
    Mauro, Noemi
    Ardissono, Liliana
    Hu, Zhongli Filippo
    ACM UMAP '19: PROCEEDINGS OF THE 27TH ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, 2019, : 216 - 224