On the public citation graph

NIS04-2: Detection of DNS Anomalies using Flow Data Analysis

https://doi.org/10.1109/glocom.2006.280
0 signed · 42 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-642-04898-2_643openalex-snapshot
Information Theory and Statistics
inferredcites →https://doi.org/10.1007/s10479-005-5724-zopenalex-snapshot
A Tutorial on the Cross-Entropy Method
inferredcites →https://doi.org/10.1109/msp.2006.8openalex-snapshot
Challenges in securing the domain name system
inferredcites →https://doi.org/10.17487/rfc1034openalex-snapshot
Domain names - concepts and facilities
inferredcites →https://doi.org/10.17487/rfc1035openalex-snapshot
Domain names - implementation and specification
inferredcites →https://doi.org/10.17487/rfc2671openalex-snapshot
Extension Mechanisms for DNS (EDNS0)

What points at this work

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

inferred← citeshttps://doi.org/10.1002/dac.2836openalex-snapshot
DNS tunneling detection through statistical fingerprints of protocol messages and machine learning
inferred← citeshttps://doi.org/10.1007/978-3-030-14880-5_5openalex-snapshot
Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver
inferred← citeshttps://doi.org/10.1007/978-3-030-24907-6_37openalex-snapshot
Approximate String Matching for DNS Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-07995-0_46openalex-snapshot
Supervised Learning Approaches with Majority Voting for DNS Tunneling Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-13488-8_20openalex-snapshot
Detection of DNS Traffic Anomalies in Large Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-67380-6_26openalex-snapshot
DNS Tunneling Detection Techniques – Classification, and Theoretical Comparison in Case of a Real APT Campaign
inferred← citeshttps://doi.org/10.1007/978-3-319-94289-6_6openalex-snapshot
A Reflective Covert Channel Attack Anchored on Trusted Web Services
inferred← citeshttps://doi.org/10.1007/978-3-642-25327-0_22openalex-snapshot
DNS Request for Normal Minima Length Distribution Based on Reference Matrix
inferred← citeshttps://doi.org/10.1007/978-3-642-38998-6_16openalex-snapshot
Flow-Based Detection of DNS Tunnels
inferred← citeshttps://doi.org/10.1007/978-981-10-7245-1_33openalex-snapshot
Characterizing Network Flows for Detecting DNS, NTP, and SNMP Anomalies
inferred← citeshttps://doi.org/10.1007/s00170-021-08001-6openalex-snapshot
Automated detection-in-depth in industrial control systems
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107642openalex-snapshot
Finding disposable domain names: A linguistics-based stacking approach
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108322openalex-snapshot
A comprehensive survey on DNS tunnel detection
inferred← citeshttps://doi.org/10.1016/j.peva.2021.102219openalex-snapshot
THAAD: Efficient matching queries under temporal abstraction for anomaly detection
inferred← citeshttps://doi.org/10.1093/jigpal/jzw056openalex-snapshot
Profiling DNS tunneling attacks with PCA and mutual information
inferred← citeshttps://doi.org/10.1109/access.2022.3164392openalex-snapshot
Covert Channel Detection: Machine Learning Approaches
inferred← citeshttps://doi.org/10.1109/ants59832.2023.10469430openalex-snapshot
OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams
inferred← citeshttps://doi.org/10.1109/ecrime47957.2019.9037595openalex-snapshot
Below the Radar: Spotting DNS Tunnels in Newly Observed Hostnames in the Wild
inferred← citeshttps://doi.org/10.1109/glocom.2009.5426172openalex-snapshot
Periodic Behavior in Botnet Command and Control Channels Traffic
inferred← citeshttps://doi.org/10.1109/iccac.2015.46openalex-snapshot
DNS-IDS: Securing DNS in the Cloud Era
inferred← citeshttps://doi.org/10.1109/icecct56650.2023.10179803openalex-snapshot
Detection of Communication Tunnels in Network Using DNS Logs
inferred← citeshttps://doi.org/10.1109/icimu.2011.6122768openalex-snapshot
Indirect DNS covert channel based on name reference for minima length distribution
inferred← citeshttps://doi.org/10.1109/icmla.2017.00-71openalex-snapshot
Detection of Exfiltration and Tunneling over DNS
inferred← citeshttps://doi.org/10.1109/icufn.2016.7536939openalex-snapshot
Feature transformation and Mutual Information for DNS tunneling analysis
inferred← citeshttps://doi.org/10.1109/iscc.2013.6755060openalex-snapshot
Basic classifiers for DNS tunneling detection
inferred← citeshttps://doi.org/10.1109/sasow.2015.31openalex-snapshot
Cross Layer Anomaly Based Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/sp61157.2025.00004openalex-snapshot
Resolution Without Dissent: In-Path Per-Query Sanitization to Defeat Surreptitious Communication Over DNS
inferred← citeshttps://doi.org/10.1109/tdsc.2013.10openalex-snapshot
DNS for Massive-Scale Command and Control
inferred← citeshttps://doi.org/10.1109/trustcom56396.2022.00050openalex-snapshot
DCC-Find: DNS Covert Channel Detection by Features Concatenation-Based LSTM
inferred← citeshttps://doi.org/10.17706/ijcce.2021.10.2.37-51openalex-snapshot
Identification of DNS Covert Channel Based on Stacking Method
inferred← citeshttps://doi.org/10.2197/ipsjjip.24.793openalex-snapshot
Detection of the DNS Water Torture Attack by Analyzing Features of the Subdomain Name
inferred← citeshttps://doi.org/10.23919/jcc.2020.10.013openalex-snapshot
Detecting DNS covert channels using stacking model
inferred← citeshttps://doi.org/10.3390/app13031974openalex-snapshot
A Comprehensive Review of Tunnel Detection on Multilayer Protocols: From Traditional to Machine Learning Approaches
inferred← citeshttps://doi.org/10.48550/arxiv.1902.08454openalex-snapshot
A Study of Newly Observed Hostnames and DNS Tunneling in the Wild
inferred← citeshttps://doi.org/10.48550/arxiv.1905.09455openalex-snapshot
Approximate String Matching for DNS Anomaly Detection
inferred← citeshttps://doi.org/10.5772/intechopen.1005053openalex-snapshot
Network Covert channels
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.