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Autorenporträt
Andreas Wespi, IBM Zurich Research Lab, Zurich, Switzerland / Giovanni Vigna, University of California at Santa Barbara, CA, USA / Luca Deri, University of Pisa, Italy
Inhaltsangabe
Stepping Stone Detection.- Detecting Long Connection Chains of Interactive Terminal Sessions.- Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay.- Detecting Malicious Software by Monitoring Anomalous Windows Registry Accesses.- Anomaly Detection.- Undermining an Anomaly-Based Intrusion Detection System Using Common Exploits.- Correlation.- Analyzing Intensive Intrusion Alerts via Correlation.- A Mission-Impact-Based Approach to INFOSEC Alarm Correlation.- M2D2: A Formal Data Model for IDS Alert Correlation.- Legal Aspects / Intrusion Tolerance.- Development of a Legal Framework for Intrusion Detection.- Learning Unknown Attacks - A Start.- Assessment of Intrusion Detection Systems.- Evaluation of the Diagnostic Capabilities of Commercial Intrusion Detection Systems.- A Stochastic Model for Intrusions.- Attacks against Computer Network: Formal Grammar-Based Framework and Simulation Tool.- Capacity Verification for High Speed Network Intrusion Detection Systems.- Adaptive Intrusion Detection Systems.- Performance Adaptation in Real-Time Intrusion Detection Systems.- Intrusion Detection Analysis.- Accurate Buffer Overflow Detection via Abstract Pay load Execution.- Introducing Reference Flow Control for Detecting Intrusion Symptoms at the OS Level.- The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion Detection.
Stepping Stone Detection.- Detecting Long Connection Chains of Interactive Terminal Sessions.- Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay.- Detecting Malicious Software by Monitoring Anomalous Windows Registry Accesses.- Anomaly Detection.- Undermining an Anomaly-Based Intrusion Detection System Using Common Exploits.- Correlation.- Analyzing Intensive Intrusion Alerts via Correlation.- A Mission-Impact-Based Approach to INFOSEC Alarm Correlation.- M2D2: A Formal Data Model for IDS Alert Correlation.- Legal Aspects / Intrusion Tolerance.- Development of a Legal Framework for Intrusion Detection.- Learning Unknown Attacks - A Start.- Assessment of Intrusion Detection Systems.- Evaluation of the Diagnostic Capabilities of Commercial Intrusion Detection Systems.- A Stochastic Model for Intrusions.- Attacks against Computer Network: Formal Grammar-Based Framework and Simulation Tool.- Capacity Verification for High Speed Network Intrusion Detection Systems.- Adaptive Intrusion Detection Systems.- Performance Adaptation in Real-Time Intrusion Detection Systems.- Intrusion Detection Analysis.- Accurate Buffer Overflow Detection via Abstract Pay load Execution.- Introducing Reference Flow Control for Detecting Intrusion Symptoms at the OS Level.- The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion Detection.
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