On the public citation graph

Unsupervised learning and rule extraction for Domain Name Server tunneling detection

0 signed · 38 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/dac.2836openalex-snapshot
DNS tunneling detection through statistical fingerprints of protocol messages and machine learning
inferredcites →https://doi.org/10.1007/978-3-319-04166-7_4openalex-snapshot
Definition and Development of a Topology-Based Cryptographic Scheme for Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s10618-015-0444-8openalex-snapshot
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.comcom.2012.01.016openalex-snapshot
Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge
inferredcites →https://doi.org/10.1016/j.future.2015.09.009openalex-snapshot
Automated root cause identification of security alerts: Evaluation in a SaaS Cloud
inferredcites →https://doi.org/10.1016/j.knosys.2014.06.018openalex-snapshot
Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks
inferredcites →https://doi.org/10.1016/j.procs.2015.03.174openalex-snapshot
Feature Selection Based Hybrid Anomaly Intrusion Detection System Using K Means and RBF Kernel Function
inferredcites →https://doi.org/10.1080/02664763.2013.816069openalex-snapshot
Introduction to linear regression analysis
inferredcites →https://doi.org/10.1093/jigpal/jzs029openalex-snapshot
Performance assessment and analysis of DNS tunneling tools
inferredcites →https://doi.org/10.1109/69.842268openalex-snapshot
An implementation of logical analysis of data
inferredcites →https://doi.org/10.1109/bigdatacongress.2017.25openalex-snapshot
Zero-Day Attack Identification in Streaming Data Using Semantics and Spark
inferredcites →https://doi.org/10.1109/camad.2014.7033254openalex-snapshot
Stream-wise detection of surreptitious traffic over DNS
inferredcites →https://doi.org/10.1109/glocom.2017.8255025openalex-snapshot
EnClass: Ensemble-Based Classification Model for Network Anomaly Detection in Massive Datasets
inferredcites →https://doi.org/10.1109/icc.2014.6883426openalex-snapshot
Detection of malicious payload distribution channels in DNS
inferredcites →https://doi.org/10.1109/icc.2018.8422401openalex-snapshot
Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures
inferredcites →https://doi.org/10.1109/icdis.2018.00043openalex-snapshot
Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset
inferredcites →https://doi.org/10.1109/icmla.2017.00-71openalex-snapshot
Detection of Exfiltration and Tunneling over DNS
inferredcites →https://doi.org/10.1109/sai.2017.8252127openalex-snapshot
High dimensional nearest neighbor search considering outliers based on fuzzy membership
inferredcites →https://doi.org/10.1109/surv.2010.032210.00054openalex-snapshot
An Overview of IP Flow-Based Intrusion Detection
inferredcites →https://doi.org/10.1109/tkde.2009.206openalex-snapshot
Coupling Logical Analysis of Data and Shadow Clustering for Partially Defined Positive Boolean Function Reconstruction
inferredcites →https://doi.org/10.1109/trustcom/bigdatase/icess.2017.256openalex-snapshot
Detecting DNS Tunnel through Binary-Classification Based on Behavior Features
inferredcites →https://doi.org/10.1145/380995.381030openalex-snapshot
The UCI KDD archive of large data sets for data mining research and experimentation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-37717-4_24openalex-snapshot
Machine Learning Techniques for Accurately Detecting the DNS Tunneling
inferred← citeshttps://doi.org/10.1007/s12243-025-01134-9openalex-snapshot
Large language models: applications, limitations, challenges, and recommendations in cybersecurity, digital forensics, and ethical hacking
inferred← citeshttps://doi.org/10.1016/j.comcom.2023.07.005openalex-snapshot
Trustworthy artificial intelligence classification-based equivalent bandwidth control
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108322openalex-snapshot
A comprehensive survey on DNS tunnel detection
inferred← citeshttps://doi.org/10.1109/aikiie60097.2023.10390398openalex-snapshot
Dynamic Rule Extraction Method Based on Computer Fuzzy Chinese Language Recognition System
inferred← citeshttps://doi.org/10.1109/cine48825.2020.234401openalex-snapshot
RSOD: Efficient Technique for Outlier Detection using Reverse Nearest Neighbors Statistics
inferred← citeshttps://doi.org/10.1109/dcoss-iot61029.2024.00038openalex-snapshot
Real-time Threat Detection Strategies for Resource-constrained Devices
inferred← citeshttps://doi.org/10.1109/dsc55868.2022.00032openalex-snapshot
A DNS-based Data Exfiltration Traffic Detection Method for Unknown Samples
inferred← citeshttps://doi.org/10.1109/iscc61673.2024.10733579openalex-snapshot
CSR-PTDNG: A Graph Construction Method for DNS Tunneling Domain Names Detection
inferred← citeshttps://doi.org/10.1109/tai.2023.3323923openalex-snapshot
Rule-Based Out-of-Distribution Detection
inferred← citeshttps://doi.org/10.1145/3407023.3409198openalex-snapshot
Detection and classification of slow DoS attacks targeting network servers
inferred← citeshttps://doi.org/10.3390/ai5040143openalex-snapshot
Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation
inferred← citeshttps://doi.org/10.3390/computers14090375openalex-snapshot
Rule-Based eXplainable Autoencoder for DNS Tunneling Detection
inferred← citeshttps://doi.org/10.4316/aece.2021.03005openalex-snapshot
Deep Learning Based DNS Tunneling Detection and Blocking System
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.