UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903C88


Registration ID:
201308

Page Number

628-636

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Title

REAL-TIME MISBEHAVIOR DETECTION IN WIRELESS NETWORKS WITH FALSE POSITIVE RATE REDUCTION

Abstract

In wireless network, every node accesses the network in a cooperative manner and randomly delays transmissions to avoid collisions by following a common backoff rule. However, in such a distributed environment without a centralized controller, a malicious node may deliberately choose a smaller backoff timer and selfishly gain an unfair share of the network throughput at the expenses of other normal nodes channel access opportunities. The distributed nature of the CSMA/CA-based wireless protocols allows malicious nodes to deliberately manipulate their backoff parameters and, thus, unfairly gain a large share of the network throughput. This paper designs a real-time backoff misbehavior detector, termed as the fair share detector (FS detector), which exploits the nonparametric cumulative sum (CUSUM) test to quickly find a selfish malicious node without any a priori knowledge of the statistics of the selfish misbehavior. While most of the existing schemes for selfish misbehavior detection depend on heuristic parameter configuration and experimental performance evaluation, the papers develop a Markov chain-based analytical model to systematically study the performance of the FS detector in real-time backoff misbehavior detection. The paper quantitatively computes the system configuration parameters for guaranteed performance in terms of average false positive rate, average detection delay, and missed detection ratio under a detection delay constraint. We present thorough simulation results to confirm the accuracy of the theoretical analysis as well as demonstrate the performance of the developed FS detector. In addition, this paper systematically studies the generic scenario with multiple misbehaving nodes in a multihop wireless network.

Key Words

Backoff, Fair share detector, Markov chain based Analytical Model, Multihop.

Cite This Article

"REAL-TIME MISBEHAVIOR DETECTION IN WIRELESS NETWORKS WITH FALSE POSITIVE RATE REDUCTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.628-636, March-2019, Available :http://www.jetir.org/papers/JETIR1903C88.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"REAL-TIME MISBEHAVIOR DETECTION IN WIRELESS NETWORKS WITH FALSE POSITIVE RATE REDUCTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp628-636, March-2019, Available at : http://www.jetir.org/papers/JETIR1903C88.pdf

Publication Details

Published Paper ID: JETIR1903C88
Registration ID: 201308
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 628-636
Country: Karur, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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