On the public citation graph

Research on abnormal detection of ModbusTCP/IP protocol based on one-class SVM

https://doi.org/10.1109/yac.2018.8406407
0 signed · 18 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1016/j.ijcip.2015.05.001openalex-snapshot
Control variable classification, modeling and anomaly detection in Modbus/TCP SCADA systems
inferredcites →https://doi.org/10.1039/b918972fopenalex-snapshot
Support Vector Machines for classification and regression
inferredcites →https://doi.org/10.1109/cscwd.2005.194301openalex-snapshot
An intrusion detection system based on RBF neural network

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.4792053openalex-extracted
Malicious Behavioural Detection in Scada Networks Based on Analyzing Modbus/Tcp Functions Sequences
inferred← citeshttps://doi.org/10.1007/978-981-32-9698-5_35openalex-snapshot
Machine Learning in Industrial Control System Security: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-99-5414-8_12openalex-snapshot
Parallelism of Physical and Simulated Industrial Communication Network Development
inferred← citeshttps://doi.org/10.1007/s00500-020-05373-xopenalex-snapshot
Improving security using SVM-based anomaly detection: issues and challenges
inferred← citeshttps://doi.org/10.1007/s11036-021-01891-6openalex-snapshot
A Lightweight Intrusion Detection Model for 5G-enabled Industrial Internet
inferred← citeshttps://doi.org/10.1007/s40313-025-01181-6openalex-snapshot
Unsupervised Machine Learning-Based Intrusion Detection in PROFINET Networks
inferred← citeshttps://doi.org/10.1007/s40747-024-01412-4openalex-snapshot
Dual-student knowledge distillation for visual anomaly detection
inferred← citeshttps://doi.org/10.1016/j.compind.2021.103413openalex-snapshot
A general optimization-based approach to the detection of real-time Ethernet traffic events
inferred← citeshttps://doi.org/10.1109/aitest49225.2020.00021openalex-snapshot
Building a Classification System for Failed Test Reports: Industrial Experience
inferred← citeshttps://doi.org/10.1109/comst.2020.2987688openalex-snapshot
A Survey on SCADA Systems: Secure Protocols, Incidents, Threats and Tactics
inferred← citeshttps://doi.org/10.1109/iccwamtip53232.2021.9674075openalex-snapshot
DNFD-SRU: A Distributed Network Fault Detection Method Based on SRU
inferred← citeshttps://doi.org/10.1109/icdcsw63273.2025.00019openalex-snapshot
Detection of stealthy attack vectors in networked Industrial Control Systems using Machine Learning
inferred← citeshttps://doi.org/10.1109/icicn62625.2024.10761885openalex-snapshot
Ultra-Low Latency Security Hardening of Modbus/TCP Protocol Based on ZUC Cryptographic Algorithm
inferred← citeshttps://doi.org/10.1109/jiot.2021.3138534openalex-snapshot
CapBad: Content-Agnostic, Payload-Based Anomaly Detector for Industrial Control Protocols
inferred← citeshttps://doi.org/10.1109/tnsm.2023.3273860openalex-snapshot
P 3 AD: Privacy-Preserved Payload Anomaly Detection for Industrial Internet of Things
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.