Recent Advances in Intrusion Detection

Inhaltsverzeichnis

• Recent Advances in Intrusion Detection.
• A Framework for the Application of Association Rule Mining in Large Intrusion Detection Infrastructures.
• Behavioral Distance Measurement Using Hidden Markov Models.
• Automated Discovery of Mimicry Attacks.
• Allergy Attack Against Automatic Signature Generation.
• Paragraph: Thwarting Signature Learning by Training Maliciously.
• Anomaly Detector Performance Evaluation Using a Parameterized Environment.
• Ranking Attack Graphs.
• Using Hidden Markov Models to Evaluate the Risks of Intrusions.
• The Nepenthes Platform: An Efficient Approach to Collect Malware.
• Automatic Handling of Protocol Dependencies and Reaction to 0-Day Attacks with ScriptGen Based Honeypots.
• Fast and Evasive Attacks: Highlighting the Challenges Ahead.
• Anagram: A Content Anomaly Detector Resistant to Mimicry Attack.
• DEMEM: Distributed Evidence-Driven Message Exchange Intrusion Detection Model for MANET.
• Enhancing Network Intrusion Detection with Integrated Sampling and Filtering.
• WIND: Workload-Aware INtrusion Detection.
• SafeCard: A Gigabit IPS on the Network Card.