On the public citation graph

Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks

https://doi.org/10.1155/2012/482191

0 signed · 34 inferred · view as graph

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.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/11669463_5openalex-snapshot

PAQ: Time Series Forecasting for Approximate Query Answering in Sensor Networks

inferredcites →https://doi.org/10.1007/11748625_6openalex-snapshot

Declarative Support for Sensor Data Cleaning

inferredcites →https://doi.org/10.1007/978-3-642-01129-0_9openalex-snapshot

Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks

inferredcites →https://doi.org/10.1007/978-3-642-02085-8_6openalex-snapshot

Mote-Based Online Anomaly Detection Using Echo State Networks

inferredcites →https://doi.org/10.1007/s11859-011-0766-3openalex-snapshot

Using new fusion operations to improve trust expressiveness of subjective logic

inferredcites →https://doi.org/10.1109/dsn.2005.92openalex-snapshot

TIBFIT: Trust Index Based Fault Tolerance for Arbitrary Data Faults in Sensor Networks

inferredcites →https://doi.org/10.1109/icde.2009.100openalex-snapshot

Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks

inferredcites →https://doi.org/10.1109/ipsn.2008.35openalex-snapshot

Using Echo State Networks for Anomaly Detection in Underground Coal Mines

inferredcites →https://doi.org/10.1109/mc.2004.93openalex-snapshot

Guest Editors' Introduction: Overview of Sensor Networks

inferredcites →https://doi.org/10.1109/surv.2010.021510.00088openalex-snapshot

Outlier Detection Techniques for Wireless Sensor Networks: A Survey

inferredcites →https://doi.org/10.1109/tc.2004.1261832openalex-snapshot

Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks

inferredcites →https://doi.org/10.1142/s0218488501000831openalex-snapshot

A LOGIC FOR UNCERTAIN PROBABILITIES

inferredcites →https://doi.org/10.1145/1022630.1022639openalex-snapshot

A resource--efficient time estimation for wireless sensor networks

inferredcites →https://doi.org/10.1145/1254850.1254852openalex-snapshot

Using sensorranks for in-network detection of faulty readings in wireless sensor networks

inferredcites →https://doi.org/10.1145/1254850.1254854openalex-snapshot

Robust management of outliers in sensor network aggregate queries

inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot

Anomaly detection

inferredcites →https://doi.org/10.1145/1807167.1807199openalex-snapshot

TACO

inferredcites →https://doi.org/10.1145/288235openalex-snapshot

Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking

inferredcites →https://doi.org/10.1145/313451.313558openalex-snapshot

Next century challenges

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.ijleo.2013.10.033openalex-snapshot

A kind of network survivability assessment model based on subjective logic

inferred← citeshttps://doi.org/10.1016/j.proeng.2012.06.339openalex-snapshot

A Comprehensive Overview on Application of Trust and Reputation in Wireless Sensor Network

inferred← citeshttps://doi.org/10.1088/1755-1315/234/1/012098openalex-snapshot

Remote Attestation of Sensor Nodes on Node Personalization: One Case Study

inferred← citeshttps://doi.org/10.1109/bigdia63733.2024.10808638openalex-snapshot

Consumer Dynamic Trust Calculation in Social Commerce Based on Extended Subjective Logic

inferred← citeshttps://doi.org/10.1109/fskd.2016.7603299openalex-snapshot

Novel weighted fusion operators and unfusion operators of subjective logic

inferred← citeshttps://doi.org/10.1109/icct.2017.8359776openalex-snapshot

On differential cooperation of neighbor nodes in wireless sensor network

inferred← citeshttps://doi.org/10.1109/icwcuca.2012.6402499openalex-snapshot

Online data fault detection for wireless sensor networks - case study

inferred← citeshttps://doi.org/10.1145/2835043.2835056openalex-snapshot

Lifetime Optimization for Target Coverage in Wireless Sensor Networks

inferred← citeshttps://doi.org/10.14257/ijhit.2014.7.5.19openalex-snapshot

Subjective Logic Dynamic Model and its Application Research

inferred← citeshttps://doi.org/10.2991/amcce-17.2017.32openalex-snapshot

Detecting Compromised Sensor Nodes with Group Verification

inferred← citeshttps://doi.org/10.2991/ameii-16.2016.9openalex-snapshot

Building Trusted Routing with Subjective Logic in Wireless Sensor Networks

inferred← citeshttps://doi.org/10.2991/icmmita-16.2016.133openalex-snapshot

Detecting compromised sensor node with subjective logic in wireless sensor network

inferred← citeshttps://doi.org/10.3390/electronics13153013openalex-snapshot

Trust Evaluation Techniques for 6G Networks: A Comprehensive Survey with Fuzzy Algorithm Approach

inferred← citeshttps://doi.org/10.3390/s19184038openalex-snapshot

Multi-Layer IoT Security Framework for Ambient Intelligence Environments

inferred← citeshttps://doi.org/10.3745/jips.03.0030openalex-snapshot

Improved Dynamic Subjective Logic Model with Evidence Driven

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.