On the public citation graph

ProTru: a provenance‐based trust architecture for wireless sensor networks

0 signed · 65 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/(sici)1099-1190(199907/08)9:4<213::aid-nem328>3.0.co;2-eopenalex-snapshot
Secure virtual private networks: the future of data communications
inferredcites →https://doi.org/10.1002/nem.472openalex-snapshot
Development of security policies for private networks
inferredcites →https://doi.org/10.1007/978-3-540-73090-3_10openalex-snapshot
SNTS: Sensor Network Troubleshooting Suite
inferredcites →https://doi.org/10.1007/978-3-540-89965-5_17openalex-snapshot
A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows
inferredcites →https://doi.org/10.1007/978-3-540-89965-5_28openalex-snapshot
Provenance in Sensornet Republishing
inferredcites →https://doi.org/10.1007/978-3-642-02085-8_10openalex-snapshot
Finding Symbolic Bug Patterns in Sensor Networks
inferredcites →https://doi.org/10.1007/978-3-642-17819-1_5openalex-snapshot
Leveraging the Open Provenance Model as a Multi-tier Model for Global Climate Research
inferredcites →https://doi.org/10.1007/s11461-008-0054-3openalex-snapshot
Forest fire detection system based on a ZigBee wireless sensor network
inferredcites →https://doi.org/10.1016/j.comcom.2007.04.022openalex-snapshot
Trust-based security for wireless ad hoc and sensor networks
inferredcites →https://doi.org/10.1016/j.comcom.2008.07.017openalex-snapshot
Functional reputation based reliable data aggregation and transmission for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.ecoinf.2009.08.008openalex-snapshot
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis
inferredcites →https://doi.org/10.1016/s1389-1286(01)00302-4openalex-snapshot
Wireless sensor networks: a survey
inferredcites →https://doi.org/10.1109/ccgrid.2006.43openalex-snapshot
Evaluating Provenance-based Trust for Scientific Workflows
inferredcites →https://doi.org/10.1109/ccnc.2007.124openalex-snapshot
Cluster-Based Reputation and Trust for Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/cts.2010.5478492openalex-snapshot
Linked sensor data
inferredcites →https://doi.org/10.1109/dasc.2006.28openalex-snapshot
DRBTS: Distributed Reputation-based Beacon Trust System
inferredcites →https://doi.org/10.1109/dasc.2006.30openalex-snapshot
Fault-Intrusion Tolerant Techniques in Wireless Sensor Networks
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/dssns.2006.1openalex-snapshot
A Framework for Trust-based Cluster Head Election in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/ewsn.2005.1462003openalex-snapshot
Monitoring volcanic eruptions with a wireless sensor network
inferredcites →https://doi.org/10.1109/hicss.2001.927053openalex-snapshot
Conceptualizing trust: a typology and e-commerce customer relationships model
inferredcites →https://doi.org/10.1109/icact.2005.245914openalex-snapshot
Trust evaluation model for wireless sensor networks
inferredcites →https://doi.org/10.1109/icdcs.workshops.2008.17openalex-snapshot
A Novel CDS-Based Reputation Monitoring System for Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/icde.2005.270openalex-snapshot
Provenance-Aware Sensor Data Storage
inferredcites →https://doi.org/10.1109/iembs.2005.1616352openalex-snapshot
Vital Signs Monitoring and Patient Tracking Over a Wireless Network
inferredcites →https://doi.org/10.1109/iscc.2005.17openalex-snapshot
A Reputation-Based Trust Mechanism for Ad Hoc Networks
inferredcites →https://doi.org/10.1109/issnip.2007.4496868openalex-snapshot
RBATMWSN: Recursive Bayesian Approach to Trust Management in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/mc.2004.93openalex-snapshot
Guest Editors' Introduction: Overview of Sensor Networks
inferredcites →https://doi.org/10.1109/mic.2006.26openalex-snapshot
Deploying a wireless sensor network on an active volcano
inferredcites →https://doi.org/10.1109/milcom.2008.4753634openalex-snapshot
Tiered architecture for on-line detection, isolation and repair of faults in wireless sensor networks
inferredcites →https://doi.org/10.1109/mobhoc.2006.278584openalex-snapshot
PLUS: Parameterized and Localized trUst management Scheme for sensor networks security
inferredcites →https://doi.org/10.1109/mue.2007.181openalex-snapshot
Reputation-based Trust in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/pccc.2004.1395061openalex-snapshot
Location-centric isolation of misbehavior and trust routing in energy-constrained sensor networks
inferredcites →https://doi.org/10.1109/rtas.2008.22openalex-snapshot
Real-Time Distributed Discrete-Event Execution with Fault Tolerance
inferredcites →https://doi.org/10.1109/rtcsa.2006.61openalex-snapshot
Trust Management Problem in Distributed Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/secperu.2007.3openalex-snapshot
A Survey on the Applicability of Trust Management Systems forWireless Sensor Networks
inferredcites →https://doi.org/10.1109/tmc.2004.41openalex-snapshot
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
inferredcites →https://doi.org/10.1109/wcnc.2007.577openalex-snapshot
A Trust-Based Geographical Routing Scheme in Sensor Networks
inferredcites →https://doi.org/10.1117/12.539089openalex-snapshot
Some real-world applications of wireless sensor nodes
inferredcites →https://doi.org/10.1145/1190326.1190328openalex-snapshot
Reputation in self-organized communication systems and beyond
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/10.1145/1341731.1341733openalex-snapshot
A Framework for Identifying Compromised Nodes in Wireless Sensor Networks
inferredcites →https://doi.org/10.1145/1362542.1362546openalex-snapshot
Reputation-based framework for high integrity sensor networks
inferredcites →https://doi.org/10.1145/1639950.1640064openalex-snapshot
Provenance
inferredcites →https://doi.org/10.1145/1667502.1667516openalex-snapshot
Research issues in data provenance for streaming environments
inferredcites →https://doi.org/10.1145/1858158.1858162openalex-snapshot
Provenance-based trustworthiness assessment in sensor networks
inferredcites →https://doi.org/10.1145/358669.358692openalex-snapshot
Random sample consensus
inferredcites →https://doi.org/10.5121/ijasuc.2010.1301openalex-snapshot
Survey of Trust Models in Different Network Domains
inferredcites →https://doi.org/10.5555/1769087.1769097openalex-snapshot
SNTS: sensor network troubleshooting suite

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4789746openalex-extracted
CMTSNN A deep learning model for multiclassification of anomalous and encrypted IoT traffic
inferred← citeshttps://doi.org/10.1002/dac.3444openalex-snapshot
The adoption of socio‐ and bio‐inspired algorithms for trust models in wireless sensor networks: A survey
inferred← citeshttps://doi.org/10.1007/978-3-031-71464-1_31openalex-snapshot
TBA-GNN: A Traffic Behavior Analysis Model with Graph Neural Networks for Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108658openalex-snapshot
MFFusion: A Multi-level Features Fusion Model for Malicious Traffic Detection based on Deep Learning
inferred← citeshttps://doi.org/10.1109/cscwd57460.2023.10152001openalex-snapshot
An Industrial Internet of Things-oriented Malicious Traffic Detection Network with Neural Network Partial Architecture Search
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033261openalex-snapshot
DeepBytes: Hierarchical Features Fusion with Deep Byte Feature for Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/icbase63199.2024.10762035openalex-snapshot
Dual Feature Extraction and Fusion for Malicious Traffic Detection based Transformer Encoders
inferred← citeshttps://doi.org/10.1109/icmsci62561.2025.10894589openalex-snapshot
Multiclassification of Normal, Abnormal and Encrypted Traffic of IoT
inferred← citeshttps://doi.org/10.1109/jiot.2023.3244544openalex-snapshot
CMTSNN: A Deep Learning Model for Multiclassification of Abnormal and Encrypted Traffic of Internet of Things
inferred← citeshttps://doi.org/10.1109/tce.2025.3558353openalex-snapshot
HyperEye: A Lightweight Features Fusion Model for Unknown Encrypted Malware Traffic Detection
inferred← citeshttps://doi.org/10.1109/trustcom56396.2022.00061openalex-snapshot
MFFAN: Multiple Features Fusion with Attention Networks for Malicious Traffic Detection
inferred← citeshttps://doi.org/10.24251/hicss.2023.652openalex-snapshot
Blockchain-based Continuous Timestamps Tracking System: Towards Ownership Information Believability
inferred← citeshttps://doi.org/10.3390/e27111086openalex-snapshot
CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection
inferred← citeshttps://doi.org/10.3906/elk-2003-6openalex-snapshot
An energy-efficient lightweight security protocol for optimal resource provenancein wireless sensor networks
inferred← citeshttps://doi.org/10.4018/978-1-5225-9004-0.ch002openalex-snapshot
Applications of Wireless Sensor Networks in Healthcare
inferred← citeshttps://doi.org/10.48047/ijiemr/v13/issue04/04openalex-snapshot
CMTSNN A DEEP LEARNING MODEL FOR MULTICLASSIFICATION OF ANOMALOUS AND ENCRYPTED IOT TRAFFIC
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.