Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data
Glasser, Joshua, Lindauer, Brian·2013·2013 IEEE Security and Privacy Workshops
Cited by (345)
Items 101–200 of 345
- A Model-Based Approach to Predicting the Performance of Insider Threat Detection SystemsShannon C. Roberts, John T. Holodnak, Trang Nguyen, Sophia Yuditskaya, Maja Milosavljevic, William Streilein · 2016 · IEEE Security and Privacy Workshops (SPW)
- Daily insider threat detection with hybrid TCN transformer architectureXiao-Yun Ye, Huangrongbin Cui, Faqin Luo, Jinlong Wang, Xiao-Yun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao · 2025 · Scientific Reports
- Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human ExpertiseMu-Huan Chung, Mark Chignell, Lu Wang, Alexandra Jovicic, Abhay Raman · 2020 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- 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 EffectMatthieu Mouyart, Guilherme Medeiros Machado, Jae‐Yun Jun · 2023 · Journal of Sensor and Actuator Networks
- Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider ThreatsDiana Haidar, Mohamed Medhat Gaber · 2018 · International Joint Conference on Neural Networks (IJCNN)
- Context-aware graph-based analysis for detecting anomalous activitiesSreyasee Das Bhattacharjee, Junsong Yuan, Jiaqi Zhang, Yap‐Peng Tan · 2017 · IEEE International Conference on Multimedia and Expo (ICME)
- Mitigating Insider Threats Using Bio-Inspired ModelsAndreas I. Nicolaou, Stavros N. Shiaeles, Nick Savage · 2020 · Applied Sciences
- Unsupervised Insider Detection Through Neural Feature Learning and Model OptimisationLiu Liu, Chao Chen, Jun Zhang, Olivier De Vel, Yang Xiang · 2019 · Lecture notes in computer science
- Exploring Adversarial Properties of Insider Threat DetectionLe, Duc C., Zincir-Heywood, Nur · 2020 · 2020 IEEE Conference on Communications and Network Security (CNS)
- Training regime influences to semi-supervised learning for insider threat detectionDuc C. Le, Nur Zincir-Heywood, Malcolm Iain Heywood · 2021 · IEEE Security and Privacy Workshops (SPW)
- RAP-Net: A Resource Access Pattern Network for Insider Threat DetectionDali Zhu, Xianjin Huang, Nan Li, Hongju Sun, Meichen Liu, Jiguo Liu · 2022 · International Joint Conference on Neural Networks (IJCNN)
- Feature Selection for Deep Neural Networks in Cyber Security ApplicationsAlexander Davis, Sumanjit Gill, Robert Wong, Shahab Tayeb · 2020 · IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
- Formal approach to thwart against insider attacks: A bio-inspired auto-resilient policy regulation frameworkUsman Rauf, Mohamed Shehab, Nafees Qamar, Sheema Sameen · 2020 · Future Generation Computer Systems
- Survival analysis for insider threatElie Alhajjar, Taylor Bradley · 2021 · Computational and Mathematical Organization Theory
- Artificial Neural Network for Cybersecurity: A Comprehensive ReviewPrajoy Podder, Subrato Bharati, Md. Rubaiyat Hossain Mondal, Pinto Kumar Paul, Utku Köse · 2021 · arXiv (Cornell University)
- The Role of Graph Neural Networks, Transformers, and Reinforcement Learning in Network Threat Detection: A Systematic Literature ReviewThilina Doremure Gamage, Jairo Gutiérrez, Sayan Kumar Ray · 2025 · Electronics
- Deep learning methods for anomalies detection in social networks using multidimensional networks and multimodal data: a surveyNour El Houda Ben Chaabene, Amel Bouzeghoub, Ramzi Guetari, Henda Ben Ghézala · 2021 · Multimedia Systems
- Insider Threat Detection Based on User Historical Behavior and Attention MechanismWeiyu He, Xu Wu, Jingchen Wu, Xiaqing Xie, Lirong Qiu, Lijuan Sun · 2021 · IEEE International Conference on Data Science in Cyberspace
- MWCapsNet: A novel Multi-level Wavelet Capsule Network for insider threat detection using image representationsKrunal Dhanraj Randive, Mohan Ramasundaram · 2023 · Neurocomputing
- Everest: GPU-Accelerated System for Mining Temporal MotifsYichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati · 2023 · Proceedings of the VLDB Endowment
- Insider Threat Detection Model Enhancement Using Hybrid Algorithms between Unsupervised and Supervised LearningJunkai Yi, Yongyong Tian · 2024 · Electronics
- A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning MethodsPadmavathi, G., Shanmugapriya, D., Asha, S. · 2022 · 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom)
- An insider threat detection method based on improved Test-Time Training modelXiaoling Tao, Jianxiang Liu, Yuelin Yu, Haijing Zhang, Ying Huang · 2025 · High-Confidence Computing
- Survey of Graph Neural Network for Internet of Things and NextG NetworksSabarish Krishna Moorthy, Jithin Jagannath · 2025 · IEEE Communications Surveys & Tutorials
- E-Watcher: insider threat monitoring and detection for enhanced securityZhiyuan Wei, Usman Rauf, Fadi Mohsen · 2024 · Annals of Telecommunications
- SENTINEL: Insider Threat Detection Based on Multi-Timescale User Behavior Interaction Graph LearningFengrui Xiao, Shuangwu Chen, S.J. Chen, Yuanyi Ma, Huasen He, Jian Yang · 2024 · IEEE Transactions on Network Science and Engineering
- Notice of Removal: XABA: A zero-knowledge anomaly-based behavioral analysis method to detect insider threatsAbolfazl Zargar, Alireza Nowroozi, Rasool Jalili · 2016 · International ISC Conference on Information Security and Cryptology (ISCISC)
- ACE – An Anomaly Contribution Explainer for Cyber-Security ApplicationsXiao Zhang, Manish Marwah, I-ta Lee, Martin F. Arlitt, Dan Goldwasser · 2019 · IEEE International Conference on Big Data (BigData)
- Improving Intrusion Detection Systems using Zero-Shot Recognition via Graph EmbeddingsSaber Zerhoudi, Michael Granitzer, Mathieu Garchery · 2020 · IEEE Annual International Computer Software and Applications Conference (COMPSAC)
- Warder: Online Insider Threat Detection System Using Multi-Feature Modeling and Graph-Based CorrelationJiang, Jianguo, Chen, Jiuming, Gu, Tianbo, Choo, Kim-Kwang Raymond, Liu, Chao, Yu, Min, Huang, Weiqing, Mohapatra, Prasant · 2019 · MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)
- Detecting insider threat within institutions using CERT dataset and different ML techniquesMohammed Dosh · 2021 · Periodicals of Engineering and Natural Sciences (PEN)
- Systematic Construction of Anomaly Detection Benchmarks from Real DataAndrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng‐Keen Wong · 2015
- An Internal Threat Detection Model Based on Denoising AutoencodersZhaoyang Zhang, Shen Wang, Guang Lu · 2019 · Smart innovation, systems and technologies
- SITD: Insider Threat Detection Using Siamese Architecture on Imbalanced DataShaolei Zhou, Liming Wang, Jing Yang, Pengwei Zhan · 2022 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
- Cluster Aware Graph Anomaly DetectionLecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui He · 2025 · International World Wide Web Conference (WWW)
- Simulated User Bots: Real Time Testing of Insider Threat Detection SystemsPreetam K. Dutta, Gabriel Ryan, Aleksander Zieba, Salvatore J. Stolfo · 2018 · IEEE Security and Privacy Workshops (SPW)
- Insider Threat Detection using an Artificial Immune system AlgorithmObinna Igbe, Tarek Saadawi · 2018 · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
- Insider Intrusion Detection Techniques: A State-of-the-Art ReviewT N Nisha, Dhanya Pramod · 2023 · Journal of Computer Information Systems
- Prediction and Detection of Insider Threat Detection using Emails: A ComparisionMittal, Anupam, Garg, Urvashi · 2023 · 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
- AUTH: An Adversarial Autoencoder Based Unsupervised Insider Threat Detection Scheme for Multisource LogsXingjian Zhu, Jiankuo Dong, Jin Qi, Zhenguo Zhou, Zhenjiang Dong, Yanfei Sun, Wang Moyu · 2024 · IEEE Transactions on Industrial Informatics
- Emerging Trends and Challenges in Cybersecurity Data Science: A State-of-the-Art ReviewNippon Datta, Tanjim Mahmud, Mohammad Tarek Aziz, Rahul Kanti Das, Mohammad Shahadat Hossain, Karl Andersson · 2024 · Parul International Conference on Engineering and Technology (PICET)
- Time-Window Based Group-Behavior Supported Method for Accurate Detection of Anomalous UsersLun-Pin Yuan, Euijin Choo, Ting Yu, Issa M. Khalil, Sencun Zhu · 2021 · International Conference on Dependable Systems & Networks/Proceedings
- Unsupervised User-Based Insider Threat Detection Using Bayesian Gaussian Mixture ModelsSimon Bertrand, Josée Desharnais, Nadia Tawbi · 2023 · Conference on Privacy, Security and Trust
- Contextual feature representation for image-based insider threat classificationShu-Min Duan, Jian-Ting Yuan, Bo Wang · 2024 · Computers & Security
- GMFITD: Graph Meta-Learning for Effective Few-Shot Insider Threat DetectionXiming Li, Linghui Li, Xiaoyong Li, Binsi Cai, Jia Jia, Yali Gao, Shui Yu · 2024 · IEEE Transactions on Information Forensics and Security
- Insider threat detection and its future directionsVrizlynn L. L. Thing, Yung Siang Liau, Dinil Mon Divakaran, Li Ling Ko · 2017 · International Journal of Security and Networks
- Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural NetworksPhavithra Manoharan, Wei Hong, Jiao Yin, Yanchun Zhang, Wenjie Ye, Jiangang Ma · 2023 · Lecture notes in computer science
- Combating Insider Threats by User Profiling from Activity Logging DataMohamed Dahmane, Samuel Foucher · 2018 · International Conference on Data Intelligence and Security (ICDIS)
- Feature Engineering Method Using Double-Layer Hidden Markov Model for Insider Threat DetectionXiaoyun Ye, Sung-Sam Hong, Myung-Mook Han · 2020 · International Journal of Fuzzy Logic and Intelligent Systems
- Abnormal Detection of Wireless Power Terminals in Untrusted Environment Based on Double Hidden Markov ModelKehe Wu, Jiawei Li, Bo Zhang · 2020 · IEEE Access
- Predicting Insider Breaches Using Employee ReviewsRahul Dwivedi, Sridhar Nerur, George Mangalaraj · 2023 · Journal of Computer Information Systems
- Detect Insider Threat with Associated Session GraphJunmei Ding, Peng Qian, Jing Ma, Zhiqiang Wang, Yueming Lu, Xiaqing Xie · 2024 · Electronics
- Multi-Granularity User Anomalous Behavior DetectionWenying Feng, Yu Juan Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu · 2024 · Applied Sciences
- A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threatsHazem M. Kotb, Tarek Gaber, Salem AlJanah, Hossam M. Zawbaa, Mohammed Alkhathami · 2025 · Scientific Reports
- Towards an Explainable Approach for Insider Threat Detection: Constraint Network LearningOrizio, Riccardo, Vuppala, Satyanarayana, Basagiannis, Stylianos, Provan, Gregory · 2020 · 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)
- Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph EmbeddingWeiyong Yang, Peng Gao, Hao Huang, Xingshen Wei, Haotian Zhang, Zhihao Qu · 2022 · Globecom
- Predicting User Roles from Computer Logs Using Recurrent Neural NetworksAaron R. Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean M. Robinson · 2017 · Proceedings of the AAAI Conference on Artificial Intelligence
- Data Stream Clustering for Real-Time Anomaly Detection: An Application to Insider ThreatsDiana Haidar, Mohamed Medhat Gaber · 2018 · Unsupervised and semi-supervised learning
- Doc2vec-Based Insider Threat Detection through Behaviour Analysis of Multi-source Security LogsLiu, Liu, Chen, Chao, Zhang, Jun, De Vel, Olivier, Xiang, Yang · 2020 · 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
- Contrastive Learning for Insider Threat DetectionVinay, M. S., Yuan, Shuhan, Wu, Xintao · 2022 · Lecture Notes in Computer Science
- Detecting abnormal logins by discovering anomalous links via graph transformersLuís Gonçalves, Cleber Zanchettin · 2024 · Computers & Security
- DBWE-Corbat: Background network traffic generation using dynamic word embedding and contrastive learning for cyber rangeLinfeng Du, Junjiang He, Tao Li, Yunpeng Wang, Xiaolong Lan, Yunhua Huang · 2023 · Computers & Security
- User Behavior Analysis for Detecting Compromised User Accounts: A Review PaperMarina Alia Jurišić, I. Tomičić, Petra Grd · 2023 · Cybernetics and Information Technologies
- User-level malicious behavior analysis model based on the NMF-GMM algorithm and ensemble strategyXiu Kan, Yixuan Fan, Jinjie Zheng, Aleksey A. Kudreyko, Chi‐Hung Chi, Wanqing Song, Albina Tregubova · 2023 · Nonlinear Dynamics
- Modeling Human Behaviour with Higher Order Logic: Insider ThreatsJaap Boender, Marieta Georgieva Ivanova, Florian Kammüller, Giuseppe Primiero · 2014 · Workshop on Socio-Technical Aspects in Security and Trust (STAST)
- A fuzzy multicriteria aggregation method for data analytics: Application to insider threat monitoringIván Palomares, Harsha Kalutarage, Yan Huang, Paul Miller Robert McCausland, Gavin McWilliams · 2017 · Joint World Congress of International Fuzzy Systems Association and International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)
- Insider Threat Detection Using Generative Adversarial Graph Attention NetworksChaoyang Li, Fenghua Li, Mingjie Yu, Yunchuan Guo, Yitong Wen, Zifu Li · 2022 · Globecom
- A Quantitative Framework to Model Reconnaissance by Stealthy Attackers and Support Deception-Based DefensesLuan Huy Pham, Massimiliano Albanese, Ritu Chadha, Cho‐Yu Jason Chiang, Sridhar Venkatesan, Charles Kamhoua, Nandi Leslie · 2020 · IEEE Conference on Communications and Network Security
- An Internal/Insider Threat Score for Data Loss Prevention and DetectionKyrre Wahl Kongsgård, Nils Agne Nordbotten, Federico Mancini, Paal Einar Engelstad · 2017 · ACM International Workshop on Security and Privacy Analytics (IWSPA)
- Insider Threat Detection Using Bidirectional Encoder Representations From Transformers and Optimized AdaBoost ClassifierKumpf, Katarina, Protic, Mihajlo, Jovanovic, Luka, Cajic, Miroslav, Zivkovic, Miodrag, Bacanin, Nebojsa · 2024 · 2024 International Conference on Circuit, Systems and Communication (ICCSC)
- ATHITD: Attention-based temporal heterogeneous graph neural network for insider threat detectionYinhao Qi, Chuyi Yan, Zehui Wang, Chen Zhang, Song Liu, Zhigang Lü, Bo Jiang · 2025 · Computers & Security
- Applying metaheuristic optimization for insider-threat detection using natural language processingTamara Živković, Miodrag Z. Zivkovic, Luka Jovanović, Vladimir Šimić, Branislav Radomirović, Toufik Mzili, Vico Zeljkovic, Nebojša Bačanin · 2026 · International Journal of Data Science and Analytics
- AGE: Authentication Graph Embedding for Detecting Anomalous Login ActivitiesRenzheng Wei, Lijun Cai, Aimin Yu, Dan Meng · 2020 · Lecture notes in computer science
- Multi-source data fusion for insider threat detection using residual networksDingwei Ge, Shangping Zhong, Kaizhi Chen · 2022
- Understanding insiders in cloud adopted organizations: A survey on taxonomies, incident analysis, defensive solutions, challengesS. Asha, D. Shanmugapriya · 2024 · Future Generation Computer Systems
- Detection of Temporal Data Ex-Filtration Threats to Relational DatabasesAsmaa Sallam, Elisa Bertino · 2018 · IEEE International Conference on Collaboration and Internet Computing (CIC)
- Identifying and Clustering Users for Unsupervised Intrusion Detection in Corporate Audit SessionsMathieu Garchery, Michael Granitzer · 2019 · IEEE International Conference on Cognitive Computing (ICCC)
- ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained levelMathieu Garchery, Michael Granitzer · 2020 · arXiv (Cornell University)
- Using Dirichlet Marked Hawkes Processes for Insider Threat DetectionZheng, Panpan, Yuan, Shuhan, Wu, Xintao · 2022 · Digital Threats: Research and Practice
- A Lightweight Unsupervised Learning Architecture to Enhance User Behavior Anomaly DetectionAndre L. B. Molina, Vinícius P. Gonçalves, Rafael T. de Sousa, Marcel Pividal, Rodolfo I. Meneguette, Geraldo P. Rocha Filho · 2022 · IEEE Latin-American Conference on Communications
- Analyzing the usefulness of the DARPA transparent computing E5 dataset in APT detection researchGuige Ouyang, Yongzhong Huang, Chenhao Zhang · 2022 · International Conference on Computer, Artificial Intelligence and Control Engineering (CAICE)
- Cloud Insider Threat Detection using Deep Learning ModelsD. Shanmugapriya, C. Dhanya, S. Asha, G. Padmavathi, D. Nethra Pingala Suthishni · 2024 · International Conference on Computing for Sustainable Global Development
- Log2Graph: A graph convolution neural network based method for insider threat detectionKexiong Fei, Jiang Zhou, Lin Su, Weiping Wang, Yong Chen · 2024 · Journal of Computer Security
- NLP and Neural Networks for Insider Threat DetectionNeda Baghalizadeh-Moghadam, Christopher Neal, Frédéric Cuppens, Nora Cuppens-Boulahia · 2024 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
- Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and EnsemblesFilip Wieslaw Bartoszewski, Mike Just, Michael A. Lones, Oleksii Mandrychenko · 2021 · IFIP advances in information and communication technology
- An Insider Threat Detection Method Based on Heterogeneous Graph EmbeddingChaofan Zheng, Wenhui Hu, Tianci Li, Xueyang Liu, Jinchan Zhang, Litian Wang · 2022 · IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS)
- UAG: User Action Graph Based on System Logs for Insider Threat DetectionWang, Xu, Jiang, Jianguo, Wang, Yan, Lv, Qiujian, Wang, Leiqi · 2023 · 2023 IEEE Symposium on Computers and Communications (ISCC)
- Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS)Minhae Jang, Yeonseung Ryu, Jik‐Soo Kim, Minkyoung Cho · 2020 · IEICE Transactions on Information and Systems
- A benchmark for visual analysis of insider threat detectionYing Zhao, Kui Yang, Siming Chen, Zhuo Zhang, Xin Huang, Q.S. Li, Qi Ma, Xinyue Luan, Xiaoping Fan · 2021 · Science China Information Sciences
- Dynamic Insider Threat Detection Based on Adaptable Genetic ProgrammingDuc C. Le, Nur Zincir-Heywood, Malcolm Iain Heywood · 2019 · IEEE Symposium Series on Computational Intelligence (SSCI)
- Guest Editorial: Emerging Trends in Research for Insider Threat Detection.William R. Claycomb, Phil Legg, Dieter Gollmann · 2014 · Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
- Research on Insider Threat Detection Method Based on Variational AutoencodingZhenjiang Zhang Zhenjiang Zhang, Yang Zhang Zhenjiang Zhang · 2021 · 電腦學刊
- Threat Analysis using N-median Outlier Detection Method with Deviation ScorePattabhi Mary Jyosthna, K. Thammi Reddy · 2021 · International Journal of Advanced Computer Science and Applications
- CapsITD: Malicious Insider Threat Detection Based on Capsule Neural NetworkHaitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lü, Fei Wang, Yuling Liu · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Employee Watcher: A Machine Learning-based Hybrid Insider Threat Detection FrameworkUsman Rauf, Zhiyuan Wei, Fadi Mohsen · 2023 · Cyber Security in Networking Conference (CSNet)
- Memory-Augmented Insider Threat Detection with Temporal-Spatial FusionDongyang Li, Lin Yang, Hongguang Zhang, Xiaolei Wang, Linru Ma · 2022 · Security and Communication Networks
- Crush Your Data with ViC2ES Then CHISSL AwayDustin Arendt, Lyndsey R. Franklin, Fumeng Yang, Brooke R. Brisbois, Ryan R. LaMothe · 2018 · IEEE Symposium on Visualization for Cyber Security (VIZSEC)
- GSketch: A Comprehensive Graph Analytic Approach for Masquerader Detection Based on File Access GraphJianguo Jiang, Xu Wang, Yan Wang, Qiujian Lv, MeiChen Liu, Tingting Wang, Leiqi Wang · 2021 · IEEE Symposium on Computers and Communications (ISCC)
- Classifying Insider Threat Scenarios Through Explainable Articial IntelligenceRémi Grzeczkowicz, Christopher Neal, Neda Baghalizadeh-Moghadam, Nora Cuppens-Boulahia, Frédéric Cuppens · 2025 · Lecture notes in computer science
- DeBot: A novel network‐based mechanism to detect exfiltration by architectural stealthy botnetsSridhar Venkatesan, Massimiliano Albanese, Cho‐Yu Jason Chiang, Angelo Sapello, Ritu Chadha · 2018 · Security and Privacy