On the public citation graph
ZT-SDN: An ML-Powered Zero-Trust Architecture for Software-Defined Networks
0 signed · 58 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.bjp.2013.10.014openalex-snapshot
Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments
inferredcites →https://doi.org/10.1016/j.comnet.2008.12.011openalex-snapshot
Characterizing network traffic by means of the NetMine framework
inferredcites →https://doi.org/10.1016/j.eswa.2018.03.027openalex-snapshot
An ecosystem for anomaly detection and mitigation in software-defined networking
inferredcites →https://doi.org/10.1016/j.eswa.2021.116225openalex-snapshot
Unsupervised online anomaly detection in Software Defined Network environments
inferredcites →https://doi.org/10.1109/access.2018.2839684openalex-snapshot
A Detection Method for Anomaly Flow in Software Defined Network
inferredcites →https://doi.org/10.1109/access.2020.3001350openalex-snapshot
Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder
inferredcites →https://doi.org/10.1109/icndc.2012.53openalex-snapshot
Application Analysis of Automated Testing Framework Based on Robot
inferredcites →https://doi.org/10.1109/jproc.2014.2371999openalex-snapshot
Software-Defined Networking: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/nfv-sdn.2016.7919493openalex-snapshot
Predicting network attack patterns in SDN using machine learning approach
inferredcites →https://doi.org/10.1109/noms.2006.1687561openalex-snapshot
Analysis of Firewall Policy Rules Using Data Mining Techniques
inferredcites →https://doi.org/10.1109/noms.2016.7502793openalex-snapshot
ATLANTIC: A framework for anomaly traffic detection, classification, and mitigation in SDN
inferredcites →https://doi.org/10.1109/noms10979.2006openalex-snapshot
2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006
inferredcites →https://doi.org/10.1109/tccn.2022.3186331openalex-snapshot
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs
inferredcites →https://doi.org/10.1109/tmm.2019.2893549openalex-snapshot
Hybrid Deep-Learning-Based Anomaly Detection Scheme for Suspicious Flow Detection in SDN: A Social Multimedia Perspective
inferredcites →https://doi.org/10.1109/tnsm.2022.3229706openalex-snapshot
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection
inferredcites →https://doi.org/10.1109/wocn13910.2008openalex-snapshot
2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN '08)
inferredcites →https://doi.org/10.1145/1592681openalex-snapshot
Proceedings of the 1st ACM workshop on Research on enterprise networking
inferredcites →https://doi.org/10.1145/3381991openalex-snapshot
Proceedings of the 25th ACM Symposium on Access Control Models and Technologies
inferredcites →https://doi.org/10.1145/3450569.3463558openalex-snapshot
Can I Reach You? Do I Need To? New Semantics in Security Policy Specification and Testing
inferredcites →https://doi.org/10.1145/3460120.3484758openalex-snapshot
New Directions in Automated Traffic Analysis
inferredcites →https://doi.org/10.1145/3508398openalex-snapshot
Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy
inferredcites →https://doi.org/10.1145/3532105openalex-snapshot
Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies
inferredcites →https://doi.org/10.1145/3532105.3535029openalex-snapshot
Removing the Reliance on Perimeters for Security using Network Views
inferredcites →https://doi.org/10.1145/3548606openalex-snapshot
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3564625openalex-snapshot
Proceedings of the 38th Annual Computer Security Applications Conference
inferredcites →https://doi.org/10.1145/3564625.3567968openalex-snapshot
ZeroDNS: Towards Better Zero Trust Security using DNS
inferredcites →https://doi.org/10.1145/3589608.3593836openalex-snapshot
MSNetViews: Geographically Distributed Management of Enterprise Network Security Policy
inferredcites →https://doi.org/10.14722/ndss.2018.23191openalex-snapshot
Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations
inferredcites →https://doi.org/10.14722/ndss.2018.23204openalex-snapshot
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
inferredcites →https://doi.org/10.17487/rfc3746openalex-snapshot
Forwarding and Control Element Separation (ForCES) Framework
inferredcites →https://doi.org/10.21926/obm.geriatr.2501294openalex-snapshot
Opioid-Involved Elder Abuse in the United States: Perspectives from Adult Protective Services
inferredcites →https://doi.org/10.3233/ida-2007-11508openalex-snapshot
Toward accurate dynamic time warping in linear time and space
inferredcites →https://doi.org/10.3390/fi12090147openalex-snapshot
Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey
inferredcites →https://doi.org/10.48550/arxiv.1812.05069openalex-snapshot
Recent Advances in Autoencoder-Based Representation Learning
inferredcites →https://doi.org/10.5555/1367985.1367993openalex-snapshot
Toward accurate dynamic time warping in linear time and space
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-08124-7_30openalex-snapshot
Zero Trust Continuous Authentication Models and Automated Policy Formulation
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112400openalex-snapshot
Towards cost optimization of deploying zero trust enabled SFC in multi-vendor programmable networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112574openalex-snapshot
BQLLDA: A blockchain, Q-learning, and hybrid post-quantum cryptography-driven adaptive framework with consensus-based trust management to mitigate zero-trust link discovery attacks in SDVNs
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100921openalex-snapshot
DDoS attack detection and defense techniques in software defined networks: A survey
inferred← citeshttps://doi.org/10.1038/s41598-026-40975-9openalex-snapshot
Performance analysis of network automation techniques for dense IP networks
inferred← citeshttps://doi.org/10.1080/23742917.2026.2704951openalex-snapshot
Zero Trust Paradigm (ZTP): an advancing approach of cybersecurity in emerging technologies
inferred← citeshttps://doi.org/10.1108/jsit-08-2024-0326openalex-snapshot
Zero trust in cybersecurity: managing critical challenges for effective implementation
inferred← citeshttps://doi.org/10.1109/cscloud66326.2025.00022openalex-snapshot
Secure and Scalable AI Pipelines for Network Automation in Highly Regulated SaaS Environments
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132793openalex-snapshot
Security Opportunities and Challenges for Disaggregated Architectures (Invited)
inferred← citeshttps://doi.org/10.1109/icdds67737.2025.11344677openalex-snapshot
An Explainable Deep Learning Architecture for Trust-Aware Zero-Trust Enforcement in Resource-Constrained SDNs
inferred← citeshttps://doi.org/10.1109/icietsd68684.2026.11584676openalex-snapshot
AI-Driven Zero Trust Enforcement System for Software-Defined Networks
inferred← citeshttps://doi.org/10.1109/icsccc69031.2026.11600253openalex-snapshot
Federated Learning–Enabled Zero-Trust SDN Framework for Secure IoT Network Traffic Analysis
inferred← citeshttps://doi.org/10.1109/mipro70003.2026.11592057openalex-snapshot
PrivSev: Privacy-Preserving Artificial Intelligence in 6G Open Radio Access Networks: A Survey
inferred← citeshttps://doi.org/10.1109/nana66698.2025.00012openalex-snapshot
Agent-Based End-Host Monitoring in IPv6 SDN Intranets: A Hybrid Machine Learning Approach by using UEBA Framework
inferred← citeshttps://doi.org/10.1561/3300000046openalex-snapshot
The Zero-trust Paradigm: Concepts, Architectures and Applications
inferred← citeshttps://doi.org/10.28925/2663-4023.2026.32.1194openalex-snapshot
NETWORK ACCESS LIFECYCLE: A STRUCTURED APPROACH TO FIREWALL RULE GOVERNANCE IN ZERO TRUST ENVIRONMENTS
inferred← citeshttps://doi.org/10.3390/fi18030165openalex-snapshot
A Post-Quantum Secure Architecture for 6G-Enabled Smart Hospitals: A Multi-Layered Cryptographic Framework
inferred← citeshttps://doi.org/10.3390/fi18100515openalex-snapshot
SDP-FW: Managing Transient Authorization in Software-Defined Perimeters for Zero Trust Networks
inferred← citeshttps://doi.org/10.56238/revgeov17n7-173openalex-snapshot
ARQUITETURA ZERO TRUST EM INFRAESTRUTURAS DE REDES: UMA REVISÃO DE ESCOPO SOBRE MECANISMOS, EVIDÊNCIAS E DESAFIOS DE IMPLEMENTAÇÃO
inferred← citeshttps://doi.org/10.58830/ozgur.pub1473.c5886openalex-snapshot
Cybersecurity, Network Security, and Privacy: A Theoretical Evaluation
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.