Journal article
Efficiency and Detectability of Random Reactive Jamming in Carrier Sense Wireless Networks
IEEE transactions on communications, v 67(10), pp 6925-6938
01 Oct 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A natural basis for the detection of a wireless random reactive jammer (RRJ) is the perceived violation by the detector [typically located at the access point (AP)] of the carrier sensing protocol underpinning many wireless random access protocols (e.g., Wi-Fi). Specifically, when the wireless medium is perceived by a station to be busy, a carrier sensing compliant station will avoid transmission, while an RRJ station will often initiate transmission. However, hidden terminals (HTs), i.e., activity detected by the AP but not by the sensing station, complicate the use of carrier sensing as the basis for RRJ detection since they provide plausible deniability to a station suspected of being an RRJ. The RRJ has the dual objectives of avoiding detection and effectively disrupting communication, but there is an inherent performance tradeoff between these two objectives. In this paper, we capture the behavior of both the RRJ and the compliant stations via a parsimonious Markov chain model and pose the detection problem using the framework of the Markov chain hypothesis testing. Our analysis yields the receiver operating characteristic (ROC) of the detector and the optimized behavior of the RRJ. While there has been extensive work in the literature on jamming detection, our innovation lies in leveraging carrier sensing as a natural and effective basis for detection.
Metrics
Details
- Title
- Efficiency and Detectability of Random Reactive Jamming in Carrier Sense Wireless Networks
- Creators
- Ni An - Drexel UniversitySteven Weber - AT&T (United States)
- Publication Details
- IEEE transactions on communications, v 67(10), pp 6925-6938
- Publisher
- IEEE
- Number of pages
- 14
- Grant note
- CNS-1228847 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000502107500022
- Scopus ID
- 2-s2.0-85077774258
- Other Identifier
- 991019167658804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Telecommunications