Beschreibung:
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.