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Rapid jamming detection approach based on fuzzy in WSN

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

1 of the 27 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-018-3636-5 (notice 2024-10-15).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.3567openalex-snapshot
Fuzzy logic–based jamming detection algorithm for cluster‐based wireless sensor network
inferredcites →https://doi.org/10.1002/dac.4010openalex-snapshot
Jamming detection approach based on fuzzy assisted multicriteria decision‐making system for wireless sensor networks
inferredcites →https://doi.org/10.1007/11760146_111openalex-snapshot
An Anomaly Detection Algorithm for Detecting Attacks in Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s00500-018-3636-5openalex-snapshot
RETRACTED ARTICLE: An adaptive neuro-fuzzy logic based jamming detection system in WSN
inferredcites →https://doi.org/10.1016/s1389-1286(01)00302-4openalex-snapshot
Wireless sensor networks: a survey
inferredcites →https://doi.org/10.1109/icc.2012.6364441openalex-snapshot
All your jammers belong to us — Localization of wireless sensors under jamming attack
inferredcites →https://doi.org/10.1109/iccsp.2014.6950086openalex-snapshot
Detection of jammer in Wireless Sensor Network
inferredcites →https://doi.org/10.1109/mc.2002.1039518openalex-snapshot
Denial of service in sensor networks
inferredcites →https://doi.org/10.1109/mnet.2006.1637928openalex-snapshot
Node clustering in wireless sensor networks: recent developments and deployment challenges
inferredcites →https://doi.org/10.1109/mnet.2006.1637931openalex-snapshot
Jamming sensor networks: attack and defense strategies
inferredcites →https://doi.org/10.1109/mwc.2004.1368895openalex-snapshot
Designing Secure Sensor Networks
inferredcites →https://doi.org/10.1109/pacrim.2011.6032998openalex-snapshot
A combined approach for distinguishing different types of jamming attacks against wireless networks
inferredcites →https://doi.org/10.1109/pdgc.2012.6449882openalex-snapshot
Detection of jamming style DoS attack in Wireless Sensor Network
inferredcites →https://doi.org/10.1109/surv.2009.090404openalex-snapshot
A survey on jamming attacks and countermeasures in WSNs
inferredcites →https://doi.org/10.1109/tmc.2010.75openalex-snapshot
Optimal Jamming Attack Strategies and Network Defense Policies in Wireless Sensor Networks
inferredcites →https://doi.org/10.1117/12.666330openalex-snapshot
Jamming attack detection and countermeasures in wireless sensor network using ant system
inferredcites →https://doi.org/10.1145/1062689.1062697openalex-snapshot
The feasibility of launching and detecting jamming attacks in wireless networks
inferredcites →https://doi.org/10.1145/1806895.1806896openalex-snapshot
RF doppler shift-based mobile sensor tracking and navigation
inferredcites →https://doi.org/10.1145/1824766.1824772openalex-snapshot
Detection of reactive jamming in sensor networks
inferredcites →https://doi.org/10.1186/s13638-016-0528-1openalex-snapshot
A novel jammer detection framework for cluster-based wireless sensor networks
inferredcites →https://doi.org/10.3390/s100403444openalex-snapshot
Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
inferredcites →https://doi.org/10.3390/s120811113openalex-snapshot
A Survey on Clustering Routing Protocols in Wireless Sensor Networks
inferredcites →https://doi.org/10.3390/s18061691openalex-snapshot
A Statistical Approach to Detect Jamming Attacks in Wireless Sensor Networks
inferredcites →https://doi.org/10.3837/tiis.2015.10.026openalex-snapshot
A Novel Jamming Detection Technique for Wireless Sensor Networks
inferredcites →https://doi.org/10.4108/icst.infoscale2008.3484openalex-snapshot
Jamming Detection Mechanisms for Wireless Sensor Networks
inferredcites →https://doi.org/10.4316/aece.2007.02009openalex-snapshot
Security of Mobile ad-hoc Wireless Networks. A Brief Survey
inferredcites →https://doi.org/10.5555/1400549.1400686openalex-snapshot
Malicious node detection in wireless sensor networks using weighted trust evaluation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/dac.5066openalex-snapshot
CapsNet‐based computing in cognitive communications
inferred← citeshttps://doi.org/10.1007/978-3-031-29313-9_27openalex-snapshot
Physical Layer Parameters for Jamming Attack Detection in VANETs: A Long Short Term Memory Approach
inferred← citeshttps://doi.org/10.1007/978-981-19-6223-3_1openalex-snapshot
A Fuzzy Logic-Based Intrusion Detection System for WBAN Against Jamming Attacks
inferred← citeshttps://doi.org/10.1007/978-981-96-9455-6_11openalex-snapshot
Gated Deep Reinforcement Learning with Sea Lion Optimization for Detecting Jamming Attacks in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108251openalex-snapshot
Fuzzy logic-based IDS (FLIDS) for the detection of different types of jamming attacks in IoT networks
inferred← citeshttps://doi.org/10.1109/dcoss-iot61029.2024.00062openalex-snapshot
Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS)
inferred← citeshttps://doi.org/10.1109/iceconf57129.2023.10083765openalex-snapshot
A Novel and Robust Sensing Technique under Cooperative Schemes of IOT Based Industrial WSN in Real Time
inferred← citeshttps://doi.org/10.1109/iciccs56967.2023.10142764openalex-snapshot
A Flooding Attack Detection and Mitigation Technique in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1109/icpics58376.2023.10235377openalex-snapshot
Cross Layer Security Based Fuzzy Trust Calculation Mechanism (CLS-FTCM) with Deep Learning for Malicious Nodes Identification on WSN
inferred← citeshttps://doi.org/10.1109/medcomnet58619.2023.10168848openalex-snapshot
Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks
inferred← citeshttps://doi.org/10.1109/twc.2023.3272337openalex-snapshot
Detection of Jamming Attacks for the Physical-Layer Authentication
inferred← citeshttps://doi.org/10.1155/2022/3321870openalex-snapshot
Enhanced Lion Optimization with Efficient Path Routing Equalization Technique against DoS Attack in Wireless Sensor Network
inferred← citeshttps://doi.org/10.21203/rs.3.rs-316566/v1openalex-snapshot
Enhanced LION Optimization with Efficient Path Routing Equilization Technique Against DOS Attack in WSN
inferred← citeshttps://doi.org/10.2174/9789815324693125040006openalex-snapshot
Handling Challenges in a Wireless Sensor Network-Based Smart Traffic Monitoring System using Generative AI
inferred← citeshttps://doi.org/10.3390/electronics11244122openalex-snapshot
Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs
inferred← citeshttps://doi.org/10.3390/s22010178openalex-snapshot
Performance Metric Analysis for a Jamming Detection Mechanism under Collaborative and Cooperative Schemes in Industrial Wireless Sensor Networks
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