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Detect Insider Threat with Associated Session Graph
Junmei Ding
*
, Peng Qian
,
Jing Ma
, Zhiqiang Wang
, Yueming Lu
, Xiaqing Xie
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
1
Citation (Scopus)
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Dive into the research topics of 'Detect Insider Threat with Associated Session Graph'. Together they form a unique fingerprint.
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Keyphrases
Session Graph
100%
Insider Threat
100%
Extracting Features
50%
Malicious Behavior
50%
False Positive Rate
25%
Significant Risk Factors
25%
Real-world Application
25%
Vulnerability
25%
Misbehavior Detection
25%
Detection Result
25%
Behavioral Characteristics
25%
Real-time Detection
25%
Anomaly Detection
25%
User Activity
25%
Network Monitoring
25%
Adaptive Learning System
25%
Detection Efficiency
25%
Recent Advancements
25%
State-of-the-art Models
25%
Enterprise Network
25%
Behavior Analysis
25%
Attacker
25%
F1 Score
25%
Data Breach
25%
Graph Convolutional Network
25%
Graphical Method
25%
Graphical Approach
25%
Network Anomaly
25%
Node Removal
25%
Operational Disruptions
25%
Organizational Security
25%
Threat Detection
25%
Traditional Detection Method
25%
Heuristic Rules
25%
Fine-grained Features
25%
Rule Creation
25%
Computer Science
Insider Threat
100%
Behavior Analysis
33%
World Application
33%
Detection Result
33%
Detection Method
33%
Anomaly Detection
33%
Adaptive Learning
33%
Learning Mechanism
33%
Behavioral Feature
33%
Attackers
33%
Graph Convolutional Network
33%
Malicious Activity
33%
Malicious Behavior
33%
Threat Detection
33%
False Positive Rate
33%
Network Monitoring
33%
Organizational Security
33%
Enterprise Network
33%