NDLI: SIEVE: A Distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET

Content Provider	IEEE Xplore Digital Library
Author	Gaeta, R. Grangetto, M. Loti, R.
Copyright Year	2012
Abstract	In this paper we consider the following problem: nodes in a MANET must disseminate data chunks using rateless codes but some nodes are assumed to be malicious, i.e., before transmitting a coded packet they may modify its payload. Nodes receiving corrupted coded packets are prevented from correctly decoding the original chunk. We propose SIEVE, a fully distributed technique to identify malicious nodes. SIEVE is based on special messages called checks that nodes periodically transmit. A check contains the list of nodes identifiers that provided coded packets of a chunk as well as a flag to signal if the chunk has been corrupted. SIEVE operates on top of an otherwise reliable architecture and it is based on the construction of a factor graph obtained from the collected checks on which an incremental belief propagation algorithm is run to compute the probability of a node being malicious. Analysis is carried out by detailed simulations using ns-3. We show that SIEVE is very accurate and discuss how nodes speed impacts on its accuracy. We also show SIEVE robustness under several attack scenarios and deceiving actions.
Starting Page	331
Ending Page	338
File Size	404160
Page Count	8
File Format	PDF
ISBN	9781467345651
ISSN	15219097
e-ISBN	9780769549033
DOI	10.1109/ICPADS.2012.53
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Accuracy Decoding Mobile ad hoc networks Equations Robustness Payloads statistical inference MANET data dissemination malicious node iden- tification
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Sieve: a distributed, accurate, and robust technique to identify malicious nodes in data dissemination on manet.

A DISTRIBUTED TRUST MANAGEMENT FRAMEWORK FOR DETECTING MALICIOUS PACKET DROPPING NODES IN A MOBILE AD HOC NETWORK

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SIEVE: A Distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET

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SIEVE: A Distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET