Anomaly detection for individual sequences with applications in identifying malicious tools

Keyphrases

• Abnormal Behavior 33%
• Anomaly Detection 100%
• Anomaly Detection System 33%
• Attacker 33%
• Botnet 33%
• Call Data 33%
• Command-and-control 33%
• Computer Security 33%
• Control Channel 33%
• Data Leakage 33%
• Deep Inspection 33%
• Detection Data 33%
• Detection System 33%
• Error Probability 33%
• Fool 33%
• High Probability 33%
• Individual Sequences 100%
• Information Measures 33%
• Information Theory 33%
• Leakage Identification 33%
• Lempel-Ziv Compression 33%
• New York City 33%
• Normal Behavior 66%
• One-dimensional Time Series 33%
• Single Feature 33%
• Statistical Model 66%
• System Call Monitoring 33%
• Taxi Data 33%
• Tool Detection 33%
• Urban Taxi 33%

Computer Science

• Anomaly Detection 100%
• Attacker Attempt 25%
• Botnets 25%
• Command Channel 25%
• Compression Algorithm 25%
• Computer Security 25%
• Control Channel 25%
• Deep Inspection 25%
• Detection Algorithm 25%
• Information Measure 25%
• Normal Behavior 50%
• Single Feature 25%
• Statistical Model 50%
• System Calls 25%
• Theoretic Tool 25%

Mathematics

• Apply It 50%
• Concludes 50%
• Detection Data 50%
• Dimensional Time 50%
• Information Measure 50%
• New York 50%
• Probability Theory 50%
• Statistical Model 100%