On the public citation graph
A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity
0 signed · 177 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/(issn)1939-0068openalex-snapshot
Wiley Interdisciplinary Reviews: Computational Statistics
inferredcites →https://doi.org/10.1002/ett.4150openalex-snapshot
Network intrusion detection system: A systematic study of machine learning and deep learning approaches
inferredcites →https://doi.org/10.1002/int.22766openalex-snapshot
Network unknown‐threat detection based on a generative adversarial network and evolutionary algorithm
inferredcites →https://doi.org/10.1007/978-3-030-59621-7_8openalex-snapshot
DAPT 2020 - Constructing a Benchmark Dataset for Advanced Persistent Threats
inferredcites →https://doi.org/10.1007/978-3-030-75178-4openalex-snapshot
Synthetic Data for Deep Learning
inferredcites →https://doi.org/10.1007/978-3-030-87839-9_1openalex-snapshot
STAN: Synthetic Network Traffic Generation with Generative Neural Models
inferredcites →https://doi.org/10.1007/978-3-031-01548-9openalex-snapshot
Introduction to Semi-Supervised Learning
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-74860-3_9openalex-snapshot
New Directions in Attack Tree Research: Catching up with Industrial Needs
inferredcites →https://doi.org/10.1007/978-3-642-38652-7openalex-snapshot
Dimensionality Reduction with Unsupervised Nearest Neighbors
inferredcites →https://doi.org/10.1007/978-981-19-8991-9_29openalex-snapshot
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
inferredcites →https://doi.org/10.1007/978-981-99-7969-1_18openalex-snapshot
ChatGPT Knows Your Attacks: Synthesizing Attack Trees Using LLMs
inferredcites →https://doi.org/10.1007/bf03017132openalex-snapshot
Philosophical Transactions of the Royal Society of London (A)
inferredcites →https://doi.org/10.1007/s00779-019-01332-yopenalex-snapshot
GAN-based imbalanced data intrusion detection system
inferredcites →https://doi.org/10.1007/s10462-019-09717-4openalex-snapshot
A review of generative adversarial networks and its application in cybersecurity
inferredcites →https://doi.org/10.1007/s10586-023-04124-5openalex-snapshot
Chatgpt for cybersecurity: practical applications, challenges, and future directions
inferredcites →https://doi.org/10.1016/0169-2070(95)90067-5openalex-snapshot
Journal of the American Statistical Association
inferredcites →https://doi.org/10.1016/0198-9715(89)90027-6openalex-snapshot
Artificial intelligence and statistics
inferredcites →https://doi.org/10.1016/0959-440x(92)90120-vopenalex-snapshot
Current opinion in structural biology
inferredcites →https://doi.org/10.1016/j.adhoc.2020.102177openalex-snapshot
IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks
inferredcites →https://doi.org/10.1016/j.comnet.2023.109688openalex-snapshot
Unraveled — A semi-synthetic dataset for Advanced Persistent Threats
inferredcites →https://doi.org/10.1016/j.cose.2018.12.012openalex-snapshot
Flow-based network traffic generation using Generative Adversarial Networks
inferredcites →https://doi.org/10.1016/j.cose.2022.102675openalex-snapshot
A systematic literature review of methods and datasets for anomaly-based network intrusion detection
inferredcites →https://doi.org/10.1016/j.cose.2022.103054openalex-snapshot
Synthetic attack data generation model applying generative adversarial network for intrusion detection
inferredcites →https://doi.org/10.1016/j.displa.2022.102237openalex-snapshot
GAN computers generate arts? A survey on visual arts, music, and literary text generation using generative adversarial network
inferredcites →https://doi.org/10.1016/j.engappai.2022.105701openalex-snapshot
Permutation Jensen–Shannon divergence for Random Permutation Set
inferredcites →https://doi.org/10.1016/j.jisa.2023.103472openalex-snapshot
Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks
inferredcites →https://doi.org/10.1016/s0925-2312(97)90018-7openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1029/2021ms002681openalex-snapshot
Mean Squared Error, Deconstructed
inferredcites →https://doi.org/10.1038/s41598-022-06057-2openalex-snapshot
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
inferredcites →https://doi.org/10.1057/41272.1477-657xopenalex-snapshot
Journal of Revenue and Pricing Management
inferredcites →https://doi.org/10.1057/palgrave.rpm.5160117openalex-snapshot
The continuing evolution: Customer-centric revenue management
inferredcites →https://doi.org/10.1080/01621459.1967.10482916openalex-snapshot
On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown
inferredcites →https://doi.org/10.1093/oso/9780199214655.003.0001openalex-snapshot
Generative or Discriminative? Getting the Best of Both Worlds
inferredcites →https://doi.org/10.1098/rstb.1997.0101openalex-snapshot
Generative models for discovering sparse distributed representations
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2020.2977007openalex-snapshot
Network Intrusion Detection Based on Supervised Adversarial Variational Auto-Encoder With Regularization
inferredcites →https://doi.org/10.1109/access.2020.3010274openalex-snapshot
Anomalous Example Detection in Deep Learning: A Survey
inferredcites →https://doi.org/10.1109/access.2023.3237641openalex-snapshot
Deep Non-Parallel Hyperplane Support Vector Machine for Classification
inferredcites →https://doi.org/10.1109/access.2023.3300381openalex-snapshot
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
inferredcites →https://doi.org/10.1109/access.2023.3325727openalex-snapshot
PAC-GPT: A Novel Approach to Generating Synthetic Network Traffic With GPT-3
inferredcites →https://doi.org/10.1109/acssc.2003.1292216openalex-snapshot
Multiscale structural similarity for image quality assessment
inferredcites →https://doi.org/10.1109/allerton.2013.6736623openalex-snapshot
Characterization and computation of local Nash equilibria in continuous games
inferredcites →https://doi.org/10.1109/allerton30877.2013openalex-snapshot
2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton)
inferredcites →https://doi.org/10.1109/compsac48688.2020.0-218openalex-snapshot
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System
inferredcites →https://doi.org/10.1109/compsac51774.2021openalex-snapshot
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/iccv.2015.425openalex-snapshot
Deep Learning Face Attributes in the Wild
inferredcites →https://doi.org/10.1109/iccv.2017.629openalex-snapshot
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/icdm54844.2022.00047openalex-snapshot
Query-Efficient Target-Agnostic Black-Box Attack
inferredcites →https://doi.org/10.1109/icdmw.2017.93openalex-snapshot
IP2Vec: Learning Similarities Between IP Addresses
inferredcites →https://doi.org/10.1109/icdmw43146.2017openalex-snapshot
2017 IEEE International Conference on Data Mining Workshops (ICDMW)
inferredcites →https://doi.org/10.1109/icvgip.2008.47openalex-snapshot
Automated Flower Classification over a Large Number of Classes
inferredcites →https://doi.org/10.1109/iemcon.2019.8936224openalex-snapshot
PAC-GAN: Packet Generation of Network Traffic using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iemcon53756.2021openalex-snapshot
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
inferredcites →https://doi.org/10.1109/isacv.2018.8354080openalex-snapshot
Deep generative models: Survey
inferredcites →https://doi.org/10.1109/jproc.2023.3238024openalex-snapshot
A Survey on Learning to Reject
inferredcites →https://doi.org/10.1109/mercon.2019.8818750openalex-snapshot
Generative Adversarial Networks (GAN) based Anomaly Detection in Industrial Software Systems
inferredcites →https://doi.org/10.1109/milcom47813.2019.9020850openalex-snapshot
Synthetic Intrusion Alert Generation through Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/milcom52596.2021openalex-snapshot
MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM)
inferredcites →https://doi.org/10.1109/prdc50213.2020.00018openalex-snapshot
Generative Deep Learning for Internet of Things Network Traffic Generation
inferredcites →https://doi.org/10.1109/prdc53464.2021openalex-snapshot
2021 IEEE 26th Pacific Rim International Symposium on Dependable Computing (PRDC)
inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot
Membership Inference Attacks Against Machine Learning Models
inferredcites →https://doi.org/10.1109/sp40000.2020openalex-snapshot
2020 IEEE Symposium on Security and Privacy (SP)
inferredcites →https://doi.org/10.1109/surv.2013.052213.00046openalex-snapshot
Network Anomaly Detection: Methods, Systems and Tools
inferredcites →https://doi.org/10.1109/tcom.1983.1095851openalex-snapshot
The Laplacian Pyramid as a Compact Image Code
inferredcites →https://doi.org/10.1109/tmm.2020.2997184openalex-snapshot
cmSalGAN: RGB-D Salient Object Detection With Cross-View Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/tpami.2004.1307293openalex-snapshot
IEEE Transactions on Pattern Analysis and Machine Intelligence
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1145/1008992.1009006openalex-snapshot
Discriminative models for information retrieval
inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot
An empirical comparison of supervised learning algorithms
inferredcites →https://doi.org/10.1145/3052973.3053009openalex-snapshot
Practical Black-Box Attacks against Machine Learning
inferredcites →https://doi.org/10.1145/3124749.3124754openalex-snapshot
Deep & Cross Network for Ad Click Predictions
inferredcites →https://doi.org/10.1145/3394503openalex-snapshot
On the Variety and Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
inferredcites →https://doi.org/10.1145/3419394.3423643openalex-snapshot
Using GANs for Sharing Networked Time Series Data
inferredcites →https://doi.org/10.1145/3544216.3544251openalex-snapshot
Practical GAN-based synthetic IP header trace generation using NetShare
inferredcites →https://doi.org/10.1162/neco.2008.12-07-661openalex-snapshot
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators
inferredcites →https://doi.org/10.1162/tacl_a_00131openalex-snapshot
Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation
inferredcites →https://doi.org/10.1186/s42400-019-0038-7openalex-snapshot
Survey of intrusion detection systems: techniques, datasets and challenges
inferredcites →https://doi.org/10.1201/9781351210768openalex-snapshot
Software-Defined Networking and Security
inferredcites →https://doi.org/10.14778/3231751.3231757openalex-snapshot
Data synthesis based on generative adversarial networks
inferredcites →https://doi.org/10.1561/2200000056openalex-snapshot
An Introduction to Variational Autoencoders
inferredcites →https://doi.org/10.1609/aaai.v35i9.16934openalex-snapshot
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
inferredcites →https://doi.org/10.21236/ada458738openalex-snapshot
The Analysis of a Simple k-Means Clustering Algorithm
inferredcites →https://doi.org/10.24963/ijcai.2018/543openalex-snapshot
Generating Adversarial Examples with Adversarial Networks
inferredcites →https://doi.org/10.3389/fevo.2015.00103openalex-snapshot
Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees
inferredcites →https://doi.org/10.3389/frobt.2018.00066openalex-snapshot
RenderGAN: Generating Realistic Labeled Data
inferredcites →https://doi.org/10.3390/electronics13020322openalex-snapshot
A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity
inferredcites →https://doi.org/10.3390/jcp1040037openalex-snapshot
Polymorphic Adversarial Cyberattacks Using WGAN
inferredcites →https://doi.org/10.3390/jsan12050068openalex-snapshot
A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce the Bias Effect
inferredcites →https://doi.org/10.48550/arxiv.1506.05751openalex-snapshot
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1606.03657openalex-snapshot
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1702.08896openalex-snapshot
Hierarchical Implicit Models and Likelihood-Free Variational Inference
inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-snapshot
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
inferredcites →https://doi.org/10.48550/arxiv.1905.12081openalex-snapshot
Semi-Supervised Learning, Causality and the Conditional Cluster Assumption
inferredcites →https://doi.org/10.52306/2578-3289.1172openalex-snapshot
Harnessing Large Language Models to Simulate Realistic Human Responses to Social Engineering Attacks: A Case Study
inferredcites →https://doi.org/10.57702/e7wwo0zkopenalex-snapshot
Reading digits in natural images with unsupervised feature learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781394358212.ch31openalex-snapshot
AI for Low‐Resource Settings and Assistive Technologies
inferred← citeshttps://doi.org/10.1007/978-3-031-69769-2_8openalex-snapshot
Towards Autonomous Cybersecurity: A Comparative Analysis of Agnostic and Hybrid AI Approaches for Advanced Persistent Threat Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-82881-2_3openalex-snapshot
Exploring the Dark Side: A Systematic Review of Generative AI’s Role in Network Attacks and Breaches
inferred← citeshttps://doi.org/10.1007/978-3-031-92372-2_60openalex-snapshot
Data Fabric Intelligence with Generative AI: Secure Decisions from Efficiently Integrated Data Sources
inferred← citeshttps://doi.org/10.1007/978-3-032-13714-2_26openalex-snapshot
Self-learning Digital Twin for Kubernetes Security
inferred← citeshttps://doi.org/10.1007/978-3-032-14058-6_5openalex-snapshot
Statistical Analysis of Cyberattacks in the Russian-Ukrainian War from the Perspective of NATO Countries
inferred← citeshttps://doi.org/10.1007/978-3-032-15092-9_11openalex-snapshot
AI Enabled Intrusion Detection Systems for IoT Healthcare: Current Trends, Challenges, and Future Opportunities
inferred← citeshttps://doi.org/10.1007/978-981-95-3537-8_28openalex-snapshot
CascadeGen: A Hybrid GAN-Diffusion Framework for Controllable and Protocol-Compliant Synthetic Network Traffic Generation
inferred← citeshttps://doi.org/10.1007/s10207-026-01294-2openalex-snapshot
Reproducibility in event-log research: a parametrised generator and benchmark for event-based signatures
inferred← citeshttps://doi.org/10.1007/s10462-024-10890-4openalex-snapshot
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
inferred← citeshttps://doi.org/10.1007/s10462-025-11219-5openalex-snapshot
Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations
inferred← citeshttps://doi.org/10.1007/s10462-026-11636-0openalex-snapshot
Mitigating cyberattacks on autonomous vehicles: a comprehensive review of Generative Artificial Intelligence defense techniques
inferred← citeshttps://doi.org/10.1007/s10791-025-09894-7openalex-snapshot
SLT-driven deep networks for robust and generalizable cyber threat detection
inferred← citeshttps://doi.org/10.1007/s11227-025-07821-7openalex-snapshot
A robust and scalable intrusion detection framework for SDN with GAN-CL-STO
inferred← citeshttps://doi.org/10.1007/s41748-025-00857-yopenalex-snapshot
Comparison between Two-Level Machine Learning and Deep Learning for Groundwater Potential Mapping in the Rmel Aquifer (Northwestern Morocco)
inferred← citeshttps://doi.org/10.1007/s44196-025-00741-7openalex-snapshot
An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111308openalex-snapshot
GPT on the wire: Towards realistic network traffic conversations generated with large language models
inferred← citeshttps://doi.org/10.1016/j.csa.2026.100133openalex-snapshot
UNSW-IoTSAT: A hybrid testbed-derived dataset for enabling cybersecurity research in the smart satellite domain
inferred← citeshttps://doi.org/10.1016/j.vehcom.2025.100998openalex-snapshot
Challenges and opportunities of synthetic data generation for machine learning-based intrusion detection systems in in-vehicle networks
inferred← citeshttps://doi.org/10.1021/acs.jctc.5c01953openalex-snapshot
Generative Modeling of Entangled Polymers with a Distance-Based Variational Autoencoder
inferred← citeshttps://doi.org/10.1038/s41598-024-84673-wopenalex-snapshot
A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats
inferred← citeshttps://doi.org/10.1038/s41598-025-09424-xopenalex-snapshot
Optimizing imbalanced learning with genetic algorithm
inferred← citeshttps://doi.org/10.1038/s41598-026-37246-yopenalex-snapshot
When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation
inferred← citeshttps://doi.org/10.1109/access.2024.3385107openalex-snapshot
Generative AI for Cyber Security: Analyzing the Potential of ChatGPT, DALL-E, and Other Models for Enhancing the Security Space
inferred← citeshttps://doi.org/10.1109/access.2025.3531659openalex-snapshot
TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach
inferred← citeshttps://doi.org/10.1109/access.2025.3564985openalex-snapshot
A Comprehensive Study on Lightweight Convolution Techniques for Malicious Traffic Synthesis in Diffusion Models
inferred← citeshttps://doi.org/10.1109/access.2025.3574284openalex-snapshot
GenAI-Based Jamming and Spoofing Attacks on UAVs
inferred← citeshttps://doi.org/10.1109/access.2025.3595879openalex-snapshot
GenCoder++: A Protocol-Aware and Adversarially Robust Adaptive Intrusion Detection Framework for Hybrid CAN-Ethernet Vehicular Networks
inferred← citeshttps://doi.org/10.1109/access.2026.3732216openalex-snapshot
Configuration Sensitivity of LLM Tabular Data Synthesizers: A Small-Model Memorization Effect and a Reporting Protocol
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315448openalex-snapshot
Enhancing Intrusion Detection Systems (IDS) with Synthetic Data
inferred← citeshttps://doi.org/10.1109/cars67163.2025.11337721openalex-snapshot
Synth Vuln: An Asset and Findings Generator Supporting Vulnerability Management Research
inferred← citeshttps://doi.org/10.1109/ccge67142.2026.11581623openalex-snapshot
Generative AI in Adversarial Cybersecurity: Opportunities, Risks, and Defense Mechanisms
inferred← citeshttps://doi.org/10.1109/cyber-rci60769.2024.10939563openalex-snapshot
Towards LLM-based Synthetic Dataset Generation of Cyber Incident Response Process Logs
inferred← citeshttps://doi.org/10.1109/eit67313.2025.11232281openalex-snapshot
GCL-IDS: A Hybird Deep Learning Approach for Intrusion Detection System Using GAN, CNN, and BiLSTM
inferred← citeshttps://doi.org/10.1109/flics70075.2026.11621927openalex-snapshot
Scalable Threat Assessment Machine Learning Framework for CI/CD DevSecOps Pipelines
inferred← citeshttps://doi.org/10.1109/i3ctcon68242.2026.11507989openalex-snapshot
Generative AI for Synthetic Cyber Threat Simulation and Defense Training
inferred← citeshttps://doi.org/10.1109/icaccs60874.2024.10717164openalex-snapshot
Retracted: A Machine Learning Approach for Adversarial Attack Detection and Mitigation in Cybersecurity
inferred← citeshttps://doi.org/10.1109/icscan66520.2026.11588338openalex-snapshot
A Generative Adversarial Network for Synthetic Spambot Generation and Detection Benchmarking
inferred← citeshttps://doi.org/10.1109/icscss64956.2025.11501063openalex-snapshot
GAN based Synthetic Data Generation in Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/itnac66378.2025.11302633openalex-snapshot
A Review of the Use of Large Language Models to Generate Synthetic Cybersecurity Datasets
inferred← citeshttps://doi.org/10.1111/jebm.70075openalex-snapshot
Strategies for the Analysis and Elimination of Hallucinations in Artificial Intelligence Generated Medical Knowledge
inferred← citeshttps://doi.org/10.1145/3672608.3707823openalex-snapshot
Improving Anomaly Detection for Electric Vehicle Charging with Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1186/s40537-026-01373-0openalex-snapshot
GEN-SECHEALTH: an AI-powered generative architecture for self-scalable cybersecurity and flexible data privacy protection in intricate healthcare systems
inferred← citeshttps://doi.org/10.13052/jcsm2245-1439.1363openalex-snapshot
Research on the Quality Assessment and Protection of Network Security Body Based on Intelligent Induction and Deep Learning
inferred← citeshttps://doi.org/10.1371/journal.pdig.0001063openalex-snapshot
Bridging data gaps and tackling human vulnerabilities in healthcare cybersecurity with generative AI
inferred← citeshttps://doi.org/10.1515/9783112221082-043openalex-snapshot
493A Mathematical Modeling Approach to AI-Driven Threat Detection Using Cloud-Based Honeypots
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10650961/v1openalex-snapshot
CTGAN Based Real Time Anomaly Detection for Enhanced Cybersecurity in Agriculture 5.0
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4132627/v1openalex-snapshot
Generating Attribute Similarity Graphs: A User Behavior-Based Approach from Real- Time Microblogging Data on Platform X
inferred← citeshttps://doi.org/10.31202/ecjse.1804704openalex-snapshot
Blockchain-based Internet of Things Security: A Survey
inferred← citeshttps://doi.org/10.3390/app15020977openalex-snapshot
Real-Time Mouse Data Protection Method Using GANs for Image-Based User Authentication Based on GetCursorPos() and SetCursorPos() Functions
inferred← citeshttps://doi.org/10.3390/electronics13244877openalex-snapshot
Comparative Investigation of Traditional Machine-Learning Models and Transformer Models for Phishing Email Detection
inferred← citeshttps://doi.org/10.3390/electronics15020476openalex-snapshot
Advanced Fault Detection and Diagnosis Exploiting Machine Learning and Artificial Intelligence for Engineering Applications
inferred← citeshttps://doi.org/10.3390/electronics15061291openalex-snapshot
A Systematic Ablation Study of GAN-Based Minority Augmentation for Intrusion Detection on UWF-ZeekData22
inferred← citeshttps://doi.org/10.3390/en18195179openalex-snapshot
Machine Learning Techniques for Fault Detection in Smart Distribution Grids
inferred← citeshttps://doi.org/10.3390/eng5030114openalex-snapshot
Balancing the Scale: Data Augmentation Techniques for Improved Supervised Learning in Cyberattack Detection
inferred← citeshttps://doi.org/10.3390/technologies13050202openalex-snapshot
A Comprehensive Review of Adversarial Attacks and Defense Strategies in Deep Neural Networks
inferred← citeshttps://doi.org/10.3390/technologies14020117openalex-snapshot
Class-Specific GAN-Based Minority Data Augmentation for Cyberattack Detection Using the UWF-ZeekData22 Dataset
inferred← citeshttps://doi.org/10.4018/979-8-3373-0832-6.ch025openalex-snapshot
Quantum Computing Implications in Generative AI Cybersecurity
inferred← citeshttps://doi.org/10.4018/979-8-3373-0954-5.ch010openalex-snapshot
Generative AI for Cybersecurity Applications in Threat Simulation and Defense
inferred← citeshttps://doi.org/10.4018/979-8-3373-2135-6.ch011openalex-snapshot
Revolutionizing Business Intelligence With Natural Language Processing
inferred← citeshttps://doi.org/10.4018/979-8-3373-2277-3.ch001openalex-snapshot
Generative AI and Digital Synthetic Outputs
inferred← citeshttps://doi.org/10.4018/979-8-3373-7852-7.ch009openalex-snapshot
From Black Box to Shield
inferred← citeshttps://doi.org/10.4018/979-8-3693-5415-5.ch003openalex-snapshot
Generative AI in Network Security and Intrusion Detection
inferred← citeshttps://doi.org/10.4018/979-8-3693-8397-1.ch010openalex-snapshot
Case Studies and Real-World Application of Generative AI
inferred← citeshttps://doi.org/10.4018/979-8-3693-8557-9.ch010openalex-snapshot
Guardians of the Digital Realm
inferred← citeshttps://doi.org/10.4018/979-8-3693-8939-3.ch001openalex-snapshot
Introduction to Generative AI in Cybersecurity
inferred← citeshttps://doi.org/10.4018/979-8-3693-8939-3.ch003openalex-snapshot
Case Studies and Applications of Generative AI in Real-World Cybersecurity Scenarios
inferred← citeshttps://doi.org/10.4018/979-8-3693-8939-3.ch004openalex-snapshot
Empowering Security Analysts With Generative AI Tools
showing the first 68 of 69 · page through all 69
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.