An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques

Deep learning for insider threat detection: Review, challenges and opportunities

(2021) Shuhan Yuan et al.   COMPUTERS & SECURITY

Detecting Insider Threat via a Cyber-Security Culture Framework

(2021) Anna Georgiadou et al.   JOURNAL OF COMPUTER INFORMATION SYSTEMS

A Multi-Tiered Framework for Insider Threat Prevention

(2021) Rakan A. Alsowail et al.   Electronics

Survival analysis for insider threat

(2021) Elie Alhajjar et al.   Computational and Mathematical Organization Theory

Using alternate reality games to find a needle in a haystack: An approach for testing insider threat detection methods

(2021) Shannon Wasko et al.   COMPUTERS & SECURITY

Anomaly Detection for Insider Threats Using Unsupervised Ensembles

(2021) Duc C. Le et al.   IEEE Transactions on Network and Service Management

Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning

(2020) Duc C. Le et al.   IEEE Transactions on Network and Service Management

A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations

(2020) Mohammed Nasser Al-Mhiqani et al.   Applied Sciences-Basel

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

(2020) Zhihong Tian et al.   MOBILE NETWORKS & APPLICATIONS

Insight Into Insiders and IT

(2019) Ivan Homoliak et al.   ACM COMPUTING SURVEYS

Insider Threat Detection Based on User Behavior Modeling and Anomaly Detection Algorithms

(2019) Kim et al.   Applied Sciences-Basel

Detecting and Preventing Cyber Insider Threats: A Survey

(2018) Liu Liu et al.   IEEE Communications Surveys and Tutorials

Beyond one-hot encoding: Lower dimensional target embedding

(2018) Pau Rodríguez et al.   IMAGE AND VISION COMPUTING

Micromovement Behavior as an Intention Detection Measurement for Preventing Insider Threats

(2018) Abdulaziz Almehmadi   IEEE Access

An empirical study of web browsers’ resistance to traffic analysis and website fingerprinting attacks

(2018) Taher Al-Shehari et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Detecting Insider Threats Using RADISH: A System for Real-Time Anomaly Detection in Heterogeneous Data Streams

(2017) Brock Bose et al.   IEEE Systems Journal

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

(2016) Anna L. Buczak et al.   IEEE Communications Surveys and Tutorials

Network Anomaly Detection: Methods, Systems and Tools

(2013) Monowar H. Bhuyan et al.   IEEE Communications Surveys and Tutorials

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance

(2011) V. García et al.   KNOWLEDGE-BASED SYSTEMS

Comparing machine learning classifiers in potential distribution modelling

(2010) Ana C. Lorena et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detecting Insider Theft of Trade Secrets

(2009) D. Caputo et al.   IEEE SECURITY & PRIVACY

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT