On the public citation graph

Enhancing Trust Management in Peer‐to‐Peer Networks Through Blockchain‐Based Machine Learning Anomaly Detection

0 signed · 43 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/ett.70110openalex-snapshot
Trust Management Scheme for Securing Vehicular Ad Hoc Networks Against Malicious Nodes and False Message Anomaly
inferredcites →https://doi.org/10.1002/ett.70162openalex-snapshot
Real‐Time Anomaly Detection in Smart Vehicle‐To‐UAV Networks for Disaster Management
inferredcites →https://doi.org/10.1002/wics.101openalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1007/978-3-319-67816-0_17openalex-snapshot
Securing Proof-of-Stake Blockchain Protocols
inferredcites →https://doi.org/10.1007/978-3-662-54455-6_8openalex-snapshot
A Survey of Attacks on Ethereum Smart Contracts (SoK)
inferredcites →https://doi.org/10.1007/978-981-15-6218-1openalex-snapshot
Ethereum Smart Contract Development in Solidity
inferredcites →https://doi.org/10.1007/s10922-022-09676-2openalex-snapshot
Ethereum’s Peer-to-Peer Network Monitoring and Sybil Attack Prevention
inferredcites →https://doi.org/10.1007/s11042-017-4396-4openalex-snapshot
Behavior pattern clustering in blockchain networks
inferredcites →https://doi.org/10.1016/j.apenergy.2021.117056openalex-snapshot
RBT: A distributed reputation system for blockchain-based peer-to-peer energy trading with fairness consideration
inferredcites →https://doi.org/10.1016/j.dss.2005.05.019openalex-snapshot
A survey of trust and reputation systems for online service provision
inferredcites →https://doi.org/10.1016/j.future.2017.08.020openalex-snapshot
A survey on the security of blockchain systems
inferredcites →https://doi.org/10.1016/j.future.2019.12.019openalex-snapshot
An overview on smart contracts: Challenges, advances and platforms
inferredcites →https://doi.org/10.1016/j.inffus.2022.12.027openalex-snapshot
A multi-source information fusion model for outlier detection
inferredcites →https://doi.org/10.1016/j.istr.2005.07.001openalex-snapshot
Data mining and machine learning—Towards reducing false positives in intrusion detection
inferredcites →https://doi.org/10.1016/j.mlwa.2024.100572openalex-snapshot
A comprehensive study of auto-encoders for anomaly detection: Efficiency and trade-offs
inferredcites →https://doi.org/10.1016/j.procs.2015.08.220openalex-snapshot
Survey on Anomaly Detection using Data Mining Techniques
inferredcites →https://doi.org/10.1016/j.procs.2023.01.080openalex-snapshot
Anomaly detection using ensemble techniques for boosting the security of intrusion detection system
inferredcites →https://doi.org/10.1073/pnas.0308738101openalex-snapshot
The Nash equilibrium: A perspective
inferredcites →https://doi.org/10.1109/access.2018.2881431openalex-snapshot
Learning to Classify Blockchain Peers According to Their Behavior Sequences
inferredcites →https://doi.org/10.1109/access.2019.2905769openalex-snapshot
Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum
inferredcites →https://doi.org/10.1109/access.2019.2911031openalex-snapshot
Security, Performance, and Applications of Smart Contracts: A Systematic Survey
inferredcites →https://doi.org/10.1109/access.2020.2977892openalex-snapshot
Unsupervised Anomaly Detection of Industrial Robots Using Sliding-Window Convolutional Variational Autoencoder
inferredcites →https://doi.org/10.1109/access.2020.2992698openalex-snapshot
Trustworthy Blockchain Oracles: Review, Comparison, and Open Research Challenges
inferredcites →https://doi.org/10.1109/access.2021.3081998openalex-snapshot
Exploring Sybil and Double-Spending Risks in Blockchain Systems
inferredcites →https://doi.org/10.1109/access.2021.3083060openalex-snapshot
Machine Learning for Anomaly Detection: A Systematic Review
inferredcites →https://doi.org/10.1109/access.2021.3112607openalex-snapshot
Fake Media Detection Based on Natural Language Processing and Blockchain Approaches
inferredcites →https://doi.org/10.1109/access.2021.3126834openalex-snapshot
Machine Learning in Network Anomaly Detection: A Survey
inferredcites →https://doi.org/10.1109/access.2021.3131949openalex-snapshot
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006151openalex-snapshot
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
inferredcites →https://doi.org/10.1109/comst.2018.2886932openalex-snapshot
Applications of Blockchains in the Internet of Things: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2019.2899617openalex-snapshot
A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges
inferredcites →https://doi.org/10.1109/comst.2020.3033665openalex-snapshot
The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses
inferredcites →https://doi.org/10.1109/comst.2022.3205643openalex-snapshot
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/sp.2017.29openalex-snapshot
Hijacking Bitcoin: Routing Attacks on Cryptocurrencies
inferredcites →https://doi.org/10.1109/tcyb.2018.2804940openalex-snapshot
Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks
inferredcites →https://doi.org/10.1109/tkde.2022.3220219openalex-snapshot
A Survey on Deep Semi-Supervised Learning
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1145/3236008openalex-snapshot
Survey on Computational Trust and Reputation Models
inferredcites →https://doi.org/10.1145/3308558.3313481openalex-snapshot
Evaluating Login Challenges as aDefense Against Account Takeover
inferredcites →https://doi.org/10.1145/3382734.3405704openalex-snapshot
Perigee: Efficient Peer-to-Peer Network Design for Blockchains
inferredcites →https://doi.org/10.1145/3439950openalex-snapshot
Deep Learning for Anomaly Detection
inferredcites →https://doi.org/10.1145/3670408openalex-snapshot
DNSRF: Deep Network-based Semi-NMF Representation Framework
inferredcites →https://doi.org/10.3102/1076998619832248openalex-snapshot
Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language
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.