On the public citation graph
On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection
0 signed · 110 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-319-26502-5_2openalex-snapshot
A Survey of Industrial Control System Testbeds
inferredcites →https://doi.org/10.1007/978-3-540-45248-5_13openalex-snapshot
An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
inferredcites →https://doi.org/10.1007/978-3-642-04968-2_4openalex-snapshot
A Labeled Data Set for Flow-Based Intrusion Detection
inferredcites →https://doi.org/10.1016/j.cose.2011.12.012openalex-snapshot
Toward developing a systematic approach to generate benchmark datasets for intrusion detection
inferredcites →https://doi.org/10.1016/j.cose.2014.05.011openalex-snapshot
An empirical comparison of botnet detection methods
inferredcites →https://doi.org/10.1016/j.jnca.2017.03.018openalex-snapshot
Generating realistic intrusion detection system dataset based on fuzzy qualitative modeling
inferredcites →https://doi.org/10.1016/s0140-3664(99)00139-5openalex-snapshot
Impact of ATM switch architectures on CBR video performance
inferredcites →https://doi.org/10.1016/s1389-1286(99)00112-7openalex-snapshot
Bro: a system for detecting network intruders in real-time
inferredcites →https://doi.org/10.1109/badgers.2014.11openalex-snapshot
Are We Missing Labels? A Study of the Availability of Ground-Truth in Network Security Research
inferredcites →https://doi.org/10.1109/ccece.2018.8447661openalex-snapshot
INSECS-DCS: A Highly Customizable Network Intrusion Dataset Creation Framework
inferredcites →https://doi.org/10.1109/cisda.2009.5356528openalex-snapshot
A detailed analysis of the KDD CUP 99 data set
inferredcites →https://doi.org/10.1109/cns.2015.7346912openalex-snapshot
ID2T: A DIY dataset creation toolkit for Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/milcis.2015.7348942openalex-snapshot
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
inferredcites →https://doi.org/10.1109/noms.2016.7502989openalex-snapshot
Towards the creation of synthetic, yet realistic, intrusion detection datasets
inferredcites →https://doi.org/10.1109/pccc.2015.7410282openalex-snapshot
SkipMon: A locality-aware Collaborative Intrusion Detection System
inferredcites →https://doi.org/10.1109/pst.2016.7906980openalex-snapshot
Analyzing flow-based anomaly intrusion detection using Replicator Neural Networks
inferredcites →https://doi.org/10.1109/wcnc.2013.6555301openalex-snapshot
Generation of a new IDS test dataset: Time to retire the KDD collection
inferredcites →https://doi.org/10.1109/wistdcs.2008.10openalex-snapshot
Cooperation of Intelligent Honeypots to Detect Unknown Malicious Codes
inferredcites →https://doi.org/10.1145/1048935.1050200openalex-snapshot
Optimizing 10-Gigabit Ethernet for Networks of Workstations, Clusters, and Grids
inferredcites →https://doi.org/10.1145/1080091.1080118openalex-snapshot
Mining anomalies using traffic feature distributions
inferredcites →https://doi.org/10.1145/1090191.1080118openalex-snapshot
Mining anomalies using traffic feature distributions
inferredcites →https://doi.org/10.1145/1341431.1341443openalex-snapshot
The need for simulation in evaluating anomaly detectors
inferredcites →https://doi.org/10.1145/2716260openalex-snapshot
Taxonomy and Survey of Collaborative Intrusion Detection
inferredcites →https://doi.org/10.1145/3546096openalex-snapshot
Proceedings of the 15th Workshop on Cyber Security Experimentation and Test
inferredcites →https://doi.org/10.1145/382912.382923openalex-snapshot
Testing Intrusion detection systems
inferredcites →https://doi.org/10.1145/952532.952601openalex-snapshot
Network traffic anomaly detection based on packet bytes
inferredcites →https://doi.org/10.13140/rg.2.2.19794.12481openalex-snapshot
On Collaborative Intrusion Detection
inferredcites →https://doi.org/10.17487/rfc3168openalex-snapshot
The Addition of Explicit Congestion Notification (ECN) to IP
inferredcites →https://doi.org/10.17487/rfc3260openalex-snapshot
New Terminology and Clarifications for Diffserv
inferredcites →https://doi.org/10.17487/rfc6335openalex-snapshot
Internet Assigned Numbers Authority (IANA) Procedures for the Management of the Service Name and Transport Protocol Port Number Registry
inferredcites →https://doi.org/10.30707/etd2015.abbas.fopenalex-snapshot
Sensitivity Analysis For The Winning Algorithm In Knowledge Discovery And Data Mining (kdd) Cup Competition 2014
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-82362-6_8openalex-snapshot
Generating Traffic-Level Adversarial Examples from Feature-Level Specifications
inferred← citeshttps://doi.org/10.1007/978-3-032-07718-9_10openalex-snapshot
Preprocessing and Feature Selection Techniques for Enhancing AI Model Performance on Intrusion Detection System Datasets
inferred← citeshttps://doi.org/10.1007/978-981-19-9373-2_9openalex-snapshot
Application of PSO-FCM Intelligent Algorithm in Computer Network Data Detection
inferred← citeshttps://doi.org/10.1007/978-981-97-7178-3_1openalex-snapshot
Toward Enhanced Intrusion Detection: A Framework for Modern and Realistic Benchmark Datasets
inferred← citeshttps://doi.org/10.1007/s10586-025-05913-wopenalex-snapshot
A GAN-DQN enhanced AI-driven framework for real-time smart intrusion detection system in cooperative IoT networks
inferred← citeshttps://doi.org/10.1007/s10844-022-00735-3openalex-snapshot
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence
inferred← citeshttps://doi.org/10.1007/s11042-023-16684-0openalex-snapshot
An efficient eavesdropping model for detection of advanced persistent threat (APT) in high volume network traffic
inferred← citeshttps://doi.org/10.1007/s11277-023-10816-3openalex-snapshot
Usage of Published Network Traffic Datasets for Anomaly and Change Point Detection
inferred← citeshttps://doi.org/10.1007/s12243-021-00871-xopenalex-snapshot
Federated learning-based scheme for detecting passive mobile attackers in 5G vehicular edge computing
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111858openalex-snapshot
TrafficT5: Multi-stage self-correcting framework for traffic generation
inferred← citeshttps://doi.org/10.1016/j.cose.2022.102810openalex-snapshot
Datasets are not enough: Challenges in labeling network traffic
inferred← citeshttps://doi.org/10.1016/j.cose.2022.103054openalex-snapshot
Synthetic attack data generation model applying generative adversarial network for intrusion detection
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104503openalex-snapshot
A uniform assessment of host-based intrusion detection data sets
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104510openalex-snapshot
Network intrusion datasets: A survey, limitations, and recommendations
inferred← citeshttps://doi.org/10.1016/j.fsidi.2025.301911openalex-snapshot
Blind protocol identification using synthetic dataset: A case study on geographic protocols
inferred← citeshttps://doi.org/10.1016/j.ijcip.2024.100727openalex-snapshot
Simulation of multi-stage attack and defense mechanisms in smart grids
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101397openalex-snapshot
Fed-Evolver: An automated evolving approach for federated Intrusion Detection System using adversarial autoencoder in SDN-enabled networks
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.091openalex-snapshot
Securing Cloud-Based Systems: DDoS Attack Mitigation using Hypervisor-Intrusion Detection Approach
inferred← citeshttps://doi.org/10.1080/23742917.2026.2651709openalex-snapshot
A comprehensive literature review on intrusion detection datasets for UAVs: taxonomy, challenges, future directions, and recommendations
inferred← citeshttps://doi.org/10.1109/access.2020.3000179openalex-snapshot
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/access.2021.3128701openalex-snapshot
A Hybrid Deep Learning Approach for Replay and DDoS Attack Detection in a Smart City
inferred← citeshttps://doi.org/10.1109/access.2021.3129600openalex-snapshot
SABADT: Hybrid Intrusion Detection Approach for Cyber Attacks Identification in WLAN
inferred← citeshttps://doi.org/10.1109/access.2024.3367122openalex-snapshot
Diving Deep With BotLab-DS1: A Novel Ground Truth-Empowered Botnet Dataset
inferred← citeshttps://doi.org/10.1109/acsacw69556.2025.00073openalex-snapshot
AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios
inferred← citeshttps://doi.org/10.1109/cloudnet59005.2023.10490030openalex-snapshot
Scale matters: a Comparative Study of Datasets for DDoS Attack Detection in CSP Infrastructure
inferred← citeshttps://doi.org/10.1109/csnt48778.2020.9115764openalex-snapshot
A Comprehensive Survey on Various Machine Learning Methods used for Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/dsn-s58398.2023.00038openalex-snapshot
Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS?
inferred← citeshttps://doi.org/10.1109/dsn64029.2025.00048openalex-snapshot
Privacy Analysis of Oblivious DNS over HTTPS: a Website Fingerprinting Study
inferred← citeshttps://doi.org/10.1109/eurosp53844.2022.00010openalex-snapshot
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
inferred← citeshttps://doi.org/10.1109/eurosp60621.2024.00042openalex-snapshot
Bad Design Smells in Benchmark NIDS Datasets
inferred← citeshttps://doi.org/10.1109/eurospw61312.2024.00036openalex-snapshot
A Tale of Two Methods: Unveiling the Limitations of GAN and the Rise of Bayesian Networks for Synthetic Network Traffic Generation
inferred← citeshttps://doi.org/10.1109/eurospw61312.2024.00042openalex-snapshot
Improving Synthetic Network Attack Traffic Generation
inferred← citeshttps://doi.org/10.1109/fmlds63805.2024.00042openalex-snapshot
Generating Scalable and Labelled IoT Intrusion Dataset Using Leaky GANs
inferred← citeshttps://doi.org/10.1109/icccn69946.2026.11662797openalex-snapshot
TSA: A Temporal Sequence Alignment Algorithm for No-Ground-Truth Traffic Data Labeling
inferred← citeshttps://doi.org/10.1109/icicn56848.2022.10006496openalex-snapshot
Deep Security Analysis Model for Smart Grid
inferred← citeshttps://doi.org/10.1109/icicn56848.2022.10006649openalex-snapshot
Intrusion Detection Model Using SSMOTE in Power Grid
inferred← citeshttps://doi.org/10.1109/icics63486.2024.10638287openalex-snapshot
Revolutionizing Threat Hunting in Communication Networks: Introducing a Cutting-Edge Large-Scale Multiclass Dataset
inferred← citeshttps://doi.org/10.1109/iciip61524.2023.10537654openalex-snapshot
A Comprehensive Analysis of Intrusion Detection Datasets: Evaluation, Challenges, and Insights
inferred← citeshttps://doi.org/10.1109/icoin53446.2022.9687165openalex-snapshot
TMorph: A Traffic Morphing Framework to Test Network Defenses Against Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/icoin56518.2023.10048962openalex-snapshot
Towards Generating Semi-Synthetic Datasets for Network Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/isaics66888.2025.11350048openalex-snapshot
Abnormal Network Traffic Detection based on Data Enhancement and Temporal Convolutional Network
inferred← citeshttps://doi.org/10.1109/isncc66965.2025.11250423openalex-snapshot
Comparing Synthetic and Authentic Network Traffic: A Case Study
inferred← citeshttps://doi.org/10.1109/milcom52596.2021.9653049openalex-snapshot
Network Data Curation Toolkit: Cybersecurity Data Collection, Aided-Labeling, and Rule Generation
inferred← citeshttps://doi.org/10.1109/mnet.2025.3551333openalex-snapshot
Reproducing ATT&CK Techniques and Lifecycles to Train Machine Learning Classifier
inferred← citeshttps://doi.org/10.1109/ojvt.2025.3609149openalex-snapshot
Synthetic Attack Dataset Generation With ID2T for AI-Based Intrusion Detection in Industrial V2I Network
inferred← citeshttps://doi.org/10.1109/powertech55446.2023.10202747openalex-snapshot
An Approach to Abstract Multi-stage Cyberattack Data Generation for ML-Based IDS in Smart Grids
inferred← citeshttps://doi.org/10.1109/sest57387.2023.10257329openalex-snapshot
Investigation of Multi-Stage Attack and Defense Simulation for Data Synthesis
inferred← citeshttps://doi.org/10.1109/smartgridcomm51999.2021.9632328openalex-snapshot
RICSel21 Data Collection: Attacks in a Virtual Power Network
inferred← citeshttps://doi.org/10.1109/spw59333.2023.00023openalex-snapshot
Research Report: Synthesizing Intrusion Detection System Test Data from Open-Source Attack Signatures
inferred← citeshttps://doi.org/10.1109/tnse.2026.3653576openalex-snapshot
Synthetic Packet Traffic Generative Adversarial Networks in Multi Agents With Peer-to-Peer and Global Priority Queue Generation
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3157344openalex-snapshot
The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3201095openalex-snapshot
Dynamic Application Call Graph Formation and Service Identification in Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/trustcom53373.2021.00048openalex-snapshot
LFETT2021: A Large-scale Fine-grained Encrypted Tunnel Traffic Dataset
inferred← citeshttps://doi.org/10.1109/wcnps69127.2025.11295886openalex-snapshot
Methodology for Building Realistic Network Intrusion Detection Datasets: A Case Study with the Energy-Based Flow Classifier
inferred← citeshttps://doi.org/10.1109/wimob58348.2023.10187745openalex-snapshot
ZBDS2023: A multi location Zigbee dataset to build innovative IoT Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1145/3450973openalex-snapshot
Deception in Network Defences Using Unpredictability
inferred← citeshttps://doi.org/10.1145/3568160.3570226openalex-snapshot
Systematic Evaluation of Automotive Intrusion Detection Datasets
inferred← citeshttps://doi.org/10.1145/3764586openalex-snapshot
Adaptive Network Intrusion Detection Using Reinforcement Learning with Proximal Policy Optimization
inferred← citeshttps://doi.org/10.1145/3803437.3806411openalex-snapshot
IDSLab: A Low-Code Platform for End-to-End IDS Dataset Construction and Experimentation
inferred← citeshttps://doi.org/10.18280/mmep.100208openalex-snapshot
Securing E-Governance Services Based on Two Level Classification Algorithms
inferred← citeshttps://doi.org/10.32913/mic-ict-research.v2020.n1.894openalex-snapshot
Handling Imbalanced Data in Intrusion Detection Systems using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.33411/ijist/2022040306openalex-snapshot
Analyzing ML-Based IDS over Real-Traffic
inferred← citeshttps://doi.org/10.3384/9789179295189openalex-snapshot
Network-based Anomaly Detection for SCADA Systems : Traffic Generation and Modeling
inferred← citeshttps://doi.org/10.3389/frai.2026.1928178openalex-snapshot
Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU
inferred← citeshttps://doi.org/10.3390/app11177868openalex-snapshot
Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic
inferred← citeshttps://doi.org/10.3390/app16189205openalex-snapshot
A PRISMA-Derived Deterministic Scoring Framework for Intrusion Detection Dataset Evaluation
inferred← citeshttps://doi.org/10.3390/electronics11040524openalex-snapshot
IMIDS: An Intelligent Intrusion Detection System against Cyber Threats in IoT
inferred← citeshttps://doi.org/10.3390/electronics11111749openalex-snapshot
A Cloud Based Optimization Method for Zero-Day Threats Detection Using Genetic Algorithm and Ensemble Learning
inferred← citeshttps://doi.org/10.3390/electronics13152953openalex-snapshot
SEDAT: A Stacked Ensemble Learning-Based Detection Model for Multiscale Network Attacks
inferred← citeshttps://doi.org/10.3390/info12100405openalex-snapshot
UGRansome1819: A Novel Dataset for Anomaly Detection and Zero-Day Threats
inferred← citeshttps://doi.org/10.3390/s22051847openalex-snapshot
A Novel Framework for Generating Personalized Network Datasets for NIDS Based on Traffic Aggregation
inferred← citeshttps://doi.org/10.3390/s23031231openalex-snapshot
ReinforSec: An Automatic Generator of Synthetic Malware Samples and Denial-of-Service Attacks through Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/s24020479openalex-snapshot
Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems
inferred← citeshttps://doi.org/10.3390/s24082636openalex-snapshot
Comparative Analysis of Anomaly Detection Approaches in Firewall Logs: Integrating Light-Weight Synthesis of Security Logs and Artificially Generated Attack Detection
inferred← citeshttps://doi.org/10.3390/s25010078openalex-snapshot
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.70675/15a0eb24z21caz4cfaz836cz86f80dfe8ac2openalex-snapshot
Natural Language Processing Approaches for Closed-Domain Technical Dialogues
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.