On the public citation graph

Detecting domain‐flux botnet based on DNS traffic features in managed network

https://doi.org/10.1002/sec.1495
0 signed · 78 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/sec.800openalex-snapshot
Survey on network‐based botnet detection methods
inferredcites →https://doi.org/10.1007/978-3-319-08509-8openalex-snapshot
Detection of Intrusions and Malware, and Vulnerability Assessment
inferredcites →https://doi.org/10.1007/978-3-319-08509-8_11openalex-snapshot
Phoenix: DGA-Based Botnet Tracking and Intelligence
inferredcites →https://doi.org/10.1007/b95439openalex-snapshot
Support Vector Machines: Theory and Applications
inferredcites →https://doi.org/10.1007/s11276-014-0761-7openalex-snapshot
Security of the Internet of Things: perspectives and challenges
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.dss.2004.06.016openalex-snapshot
A scalable decision tree system and its application in pattern recognition and intrusion detection
inferredcites →https://doi.org/10.1016/j.dss.2004.06.0l6openalex-snapshot
A scalable decision tree system and its application in pattern recognition and intrusion detection
inferredcites →https://doi.org/10.1016/j.ins.2013.04.028openalex-snapshot
Security and privacy for storage and computation in cloud computing
inferredcites →https://doi.org/10.1016/j.ins.2015.01.025openalex-snapshot
Security in cloud computing: Opportunities and challenges
inferredcites →https://doi.org/10.1016/j.jare.2014.01.002openalex-snapshot
Fast Flux Watch: A mechanism for online detection of fast flux networks
inferredcites →https://doi.org/10.1016/j.patrec.2007.05.018openalex-snapshot
An empirical analysis of the probabilistic K-nearest neighbour classifier
inferredcites →https://doi.org/10.1109/commantel.2015.7394256openalex-snapshot
Detecting bot-infected machines based on analyzing the similar periodic DNS queries
inferredcites →https://doi.org/10.1109/comsnets.2013.6465572openalex-snapshot
Privacy-preserving domain-flux botnet detection in a large scale network
inferredcites →https://doi.org/10.1109/comsnets30593.2013openalex-snapshot
2013 Fifth International Conference on Communication Systems and Networks (COMSNETS)
inferredcites →https://doi.org/10.1109/icdcsw.2010.36openalex-snapshot
SecCloud: Bridging Secure Storage and Computation in Cloud
inferredcites →https://doi.org/10.1109/malware.2008.4690854openalex-snapshot
As the net churns: Fast-flux botnet observations
inferredcites →https://doi.org/10.1109/pst.2013.6596093openalex-snapshot
Real-time malicious fast-flux detection using DNS and bot related features
inferredcites →https://doi.org/10.1109/tdsc.2012.35openalex-snapshot
Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis
inferredcites →https://doi.org/10.1109/tifs.2013.2296437openalex-snapshot
Toward Incentivizing Anti-Spoofing Deployment
inferredcites →https://doi.org/10.1109/tifs.2014.2381873openalex-snapshot
Passive IP Traceback: Disclosing the Locations of IP Spoofers From Path Backscatter
inferredcites →https://doi.org/10.1109/tnet.2009.2039492openalex-snapshot
DTRAB: Combating Against Attacks on Encrypted Protocols Through Traffic-Feature Analysis
inferredcites →https://doi.org/10.1109/tnet.2012.2184552openalex-snapshot
Detecting Algorithmically Generated Domain-Flux Attacks With DNS Traffic Analysis
inferredcites →https://doi.org/10.1109/tnet.2013.2274662openalex-snapshot
DFL: Secure and Practical Fault Localization for Datacenter Networks
inferredcites →https://doi.org/10.1115/1.859735.paper66openalex-snapshot
Distributed Low-Interaction Honeypot System to Detect Botnets
inferredcites →https://doi.org/10.1145/1557019.1557153openalex-snapshot
Beyond blacklists
inferredcites →https://doi.org/10.1145/2379776.2379777openalex-snapshot
Translation techniques in cross-language information retrieval
inferredcites →https://doi.org/10.1145/2501654.2501659openalex-snapshot
Survey and taxonomy of botnet research through life-cycle
inferredcites →https://doi.org/10.1145/2567948.2579359openalex-snapshot
Kindred domains
inferredcites →https://doi.org/10.1145/2584679openalex-snapshot
Exposure
inferredcites →https://doi.org/10.3724/sp.j.1001.2012.04101openalex-snapshot
Research on Botnet Mechanisms and Defenses
inferredcites →https://doi.org/10.6138/jit.2016.17.2.20150811openalex-snapshot
Detecting DGA-Based Botnet with DNS Traffic Analysis in Monitored Network

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-01950-1_3openalex-snapshot
LagProber: Detecting DGA-Based Malware by Using Query Time Lag of Non-existent Domains
inferred← citeshttps://doi.org/10.1007/978-981-13-6031-2_21openalex-snapshot
A Review of Botnet Detection Approaches Based on DNS Traffic Analysis
inferred← citeshttps://doi.org/10.1007/978-981-15-5285-4_29openalex-snapshot
Classification of DGA Botnet Detection Techniques Based on DNS Traffic and Parallel Detection Technique for DGA Botnet
inferred← citeshttps://doi.org/10.1007/978-981-16-2094-2_6openalex-snapshot
An Enhanced Model for DGA Botnet Detection Using Supervised Machine Learning
inferred← citeshttps://doi.org/10.1007/s00500-018-03703-8openalex-snapshot
Scalable detection of botnets based on DGA
inferred← citeshttps://doi.org/10.1016/j.comcom.2022.05.012openalex-snapshot
FPMBot: Discovering the frequent pattern of IoT-botnet domain queries in large-scale network
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107699openalex-snapshot
Domain name system security and privacy: A contemporary survey
inferred← citeshttps://doi.org/10.1016/j.cose.2019.04.015openalex-snapshot
Detection method of domain names generated by DGAs based on semantic representation and deep neural network
inferred← citeshttps://doi.org/10.1016/j.cose.2020.101787openalex-snapshot
MaldomDetector: A system for detecting algorithmically generated domain names with machine learning
inferred← citeshttps://doi.org/10.1016/j.cose.2024.104093openalex-snapshot
MDD-FedGNN: A vertical federated graph learning framework for malicious domain detection
inferred← citeshttps://doi.org/10.1016/j.jisa.2022.103148openalex-snapshot
A semantic element representation model for malicious domain name detection
inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.03.001openalex-snapshot
DGA-based botnets detection using DNS traffic mining
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111322openalex-snapshot
Online malicious domain name detection with partial labels for large-scale dependable systems
inferred← citeshttps://doi.org/10.1080/19393555.2021.1934198openalex-snapshot
An improved model for detecting DGA botnets using random forest algorithm
inferred← citeshttps://doi.org/10.1109/access.2021.3127913openalex-snapshot
D3-SACNN: DGA Domain Detection With Self-Attention Convolutional Network
inferred← citeshttps://doi.org/10.1109/acsacw65225.2024.00034openalex-snapshot
Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection
inferred← citeshttps://doi.org/10.1109/citsm47753.2019.8965419openalex-snapshot
Malware Detection Using Honeypot and Machine Learning
inferred← citeshttps://doi.org/10.1109/comst.2021.3105741openalex-snapshot
Thirty Years of DNS Insecurity: Current Issues and Perspectives
inferred← citeshttps://doi.org/10.1109/globecom59602.2025.11431652openalex-snapshot
Unveiling Stealthy DGA Traffic: A Hybrid Threshold-Behavior Analysis Framework for Detecting Botnet Domains
inferred← citeshttps://doi.org/10.1109/icicn59530.2023.10393096openalex-snapshot
Deep Learning Approaches to Detecting Malicious Domains in DNS: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/icnisc60562.2023.00041openalex-snapshot
DGA-based Botnets Detection based on Vertical and Horizontal Analysis of DNS Behavior
inferred← citeshttps://doi.org/10.1109/idciot64235.2025.10914948openalex-snapshot
Botnet Detection Methods: A Review and Classification
inferred← citeshttps://doi.org/10.1109/isdfs.2019.8757555openalex-snapshot
Thwarting C2 Communication of DGA-Based Malware using Process-level DNS Traffic Tracking
inferred← citeshttps://doi.org/10.1109/kse56063.2022.9953792openalex-snapshot
A Novel Model Based on Ensemble Learning for Detecting DGA Botnets
inferred← citeshttps://doi.org/10.1109/lcomm.2018.2828800openalex-snapshot
Estimating the Randomness of Domain Names for DGA Bot Callbacks
inferred← citeshttps://doi.org/10.1109/ojcoms.2020.3038704openalex-snapshot
A Superficial Analysis Approach for Identifying Malicious Domain Names Generated by DGA Malware
inferred← citeshttps://doi.org/10.1109/sp.2017.32openalex-snapshot
Under the Shadow of Sunshine: Understanding and Detecting Bulletproof Hosting on Legitimate Service Provider Networks
inferred← citeshttps://doi.org/10.1109/tii.2019.2940742openalex-snapshot
ConnSpoiler: Disrupting C&C Communication of IoT-Based Botnet Through Fast Detection of Anomalous Domain Queries
inferred← citeshttps://doi.org/10.1145/3429789.3429818openalex-snapshot
Botnet Detection Using DNS and HTTP Traffic Analysis
inferred← citeshttps://doi.org/10.1145/3503047.3503080openalex-snapshot
A Novel DGA Domain Adversarial Sample Generation Method By Geometric Perturbation
inferred← citeshttps://doi.org/10.1155/2021/5567635openalex-snapshot
Detecting Multielement Algorithmically Generated Domain Names Based on Adaptive Embedding Model
inferred← citeshttps://doi.org/10.13052/jcsm2245-1439.1246openalex-snapshot
A Multi-Path Approach to Protect DNS Against DDoS Attacks
inferred← citeshttps://doi.org/10.14569/ijacsa.2018.091266openalex-snapshot
Recommender System based on Empirical Study of Geolocated Clustering and Prediction Services for Botnets Cyber-Intelligence in Malaysia
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150730openalex-snapshot
DGA Domain Name Detection and Classification Using Deep Learning Models
inferred← citeshttps://doi.org/10.1587/transinf.2020ntl0001openalex-snapshot
An Approach for Identifying Malicious Domain Names Generated by Dictionary-Based DGA Bots
inferred← citeshttps://doi.org/10.26599/tst.2020.9010021openalex-snapshot
DGA-based botnet detection toward imbalanced multiclass learning
inferred← citeshttps://doi.org/10.26636/jtit.2025.fitce2024.2033openalex-snapshot
Enhancing DGA Detection with Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3233/jcs-200095openalex-snapshot
Deep learning algorithms for cyber security applications: A survey
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1692263openalex-snapshot
A capability-driven automated cybersecurity monitoring and response system
inferred← citeshttps://doi.org/10.3390/electronics10091039openalex-snapshot
A Word-Level Analytical Approach for Identifying Malicious Domain Names Caused by Dictionary-Based DGA Malware
inferred← citeshttps://doi.org/10.3390/electronics9071070openalex-snapshot
Effective DGA-Domain Detection and Classification with TextCNN and Additional Features
inferred← citeshttps://doi.org/10.3390/fi13080198openalex-snapshot
A Survey on Botnets: Incentives, Evolution, Detection and Current Trends
inferred← citeshttps://doi.org/10.4108/eai.18-2-2021.168723openalex-snapshot
CLETer: A Character-level Evasion Technique Against Deep Learning DGA Classifiers
inferred← citeshttps://doi.org/10.4236/jis.2023.141004openalex-snapshot
User Station Security Protection Method Based on Random Domain Name Detection and Active Defense
inferred← citeshttps://doi.org/10.4316/aece.2025.03002openalex-snapshot
An Ensemble Model for Word-based DGA Botnet Detection Using XGBoost and BERT
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-3156/paper30.pdfopenalex-snapshot
Botnet Detection Approach Based on DNS
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.