research-article

Detecting malicious nodes in peer-to-peer streaming by peer-based monitoring

Authors:

S.-H. Gary ChanAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 6, Issue 2

Article No.: 9, Pages 1 - 18

https://doi.org/10.1145/1671962.1671965

Published: 23 March 2010 Publication History

Abstract

Current peer-to-peer (P2P) streaming systems often assume that nodes cooperate to upload and download data. However, in the open environment of the Internet, this is not necessarily true and there exist malicious nodes in the system. In this article, we study malicious actions of nodes that can be detected through peer-based monitoring. We require each node to monitor the data received and to periodically send monitoring messages about its neighbors to some trustworthy nodes. To efficiently store and search messages among multiple trustworthy nodes, we organize trustworthy nodes into a threaded binary tree. Trustworthy nodes also dynamically redistribute monitoring messages among themselves to achieve load balancing. Our simulation results show that this scheme can efficiently detect malicious nodes with high accuracy, and that the dynamic redistribution method can achieve good load balancing among trustworthy nodes.

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Trifa ZKhemakhem M(2017)A Framework for Monitoring and Mitigating Malicious Attacks in Structured P2P Overlay Networks2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA.2017.224(128-134)Online publication date: Oct-2017
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Detecting malicious nodes in peer-to-peer streaming by peer-based monitoring

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 6, Issue 2

March 2010

119 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/1671962

Issue’s Table of Contents

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 March 2010

Accepted: 01 January 2009

Revised: 01 January 2009

Received: 01 September 2008

Published in TOMM Volume 6, Issue 2

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Cited By

Rajalingam MRajalingam M(2020)MethodologyText Segmentation and Recognition for Enhanced Image Spam Detection10.1007/978-3-030-53047-1_3(43-53)Online publication date: 11-Aug-2020
https://doi.org/10.1007/978-3-030-53047-1_3
Amir ASrinivasan BKhan A(2018)Distributed classification for image spam detectionMultimedia Tools and Applications10.1007/s11042-017-4944-y77:11(13249-13278)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s11042-017-4944-y
Trifa ZKhemakhem M(2017)A Framework for Monitoring and Mitigating Malicious Attacks in Structured P2P Overlay Networks2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA.2017.224(128-134)Online publication date: Oct-2017
https://doi.org/10.1109/AICCSA.2017.224
Dorji D(2016)Credibility based feedback for reputation computation in peer-to-peer file sharing network2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE.2016.7748924(1-6)Online publication date: Jul-2016
https://doi.org/10.1109/JCSSE.2016.7748924
Gonçalves GCunha ÍVieira AAlmeida J(2016)Predicting the level of cooperation in a Peer-to-Peer live streaming applicationMultimedia Systems10.1007/s00530-014-0434-522:2(161-180)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1007/s00530-014-0434-5
Fiandrotti AGaeta RGrangetto M(2015)Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live StreamingIEEE Transactions on Multimedia10.1109/TMM.2015.240251617:4(562-573)Online publication date: Apr-2015
https://doi.org/10.1109/TMM.2015.2402516
Safa HEl Hajj WAbu Salem FMoutaweh M(2015)Using K-nearest neighbor algorithm to reduce false negatives in P2P secure routing protocols2015 International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2015.7289207(929-934)Online publication date: Aug-2015
https://doi.org/10.1109/IWCMC.2015.7289207
Fiandrotti AGaeta RGrangetto M(2015)Pollution-resilient peer-to-peer video streaming with Band Codes2015 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2015.7177408(1-6)Online publication date: Jun-2015
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Sakuma MKita YAburada KPark MOkazaki N(2015)Study of Filter Sharing Method Using Virtual Peers in P2P Networks2015 IEEE 29th International Conference on Advanced Information Networking and Applications10.1109/AINA.2015.259(720-726)Online publication date: Mar-2015
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Gaeta RGrangetto MBovio L(2014)DIPACM Transactions on Multimedia Computing, Communications, and Applications10.1145/256822310:3(1-20)Online publication date: 17-Apr-2014
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