Detection of Intrusions and Malware, and Vulnerability Assessment

1. Front Matter

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2. Obfuscated Code Detection

   1. Analyzing Memory Accesses in Obfuscated x86 Executables

      • Michael Venable, Mohamed R. Chouchane, Md Enamul Karim, Arun Lakhotia

      Pages 1-18

   2. Hybrid Engine for Polymorphic Shellcode Detection

      • Udo Payer, Peter Teufl, Mario Lamberger

      Pages 19-31

3. Honeypots

   1. Experiences Using Minos as a Tool for Capturing and Analyzing Novel Worms for Unknown Vulnerabilities

      • Jedidiah R. Crandall, S. Felix Wu, Frederic T. Chong

      Pages 32-50

   2. A Pointillist Approach for Comparing Honeypots

      • Fabien Pouget, Thorsten Holz

      Pages 51-68

4. Vulnerability Assessment and Exploit Analysis

   1. Automatic Detection of Attacks on Cryptographic Protocols: A Case Study

      • Ivan Cibrario B., Luca Durante, Riccardo Sisto, Adriano Valenzano

      Pages 69-84

   2. METAL – A Tool for Extracting Attack Manifestations

      • Ulf Larson, Emilie Lundin-Barse, Erland Jonsson

      Pages 85-102

   3. Flow-Level Traffic Analysis of the Blaster and Sobig Worm Outbreaks in an Internet Backbone

      • Thomas Dübendorfer, Arno Wagner, Theus Hossmann, Bernhard Plattner

      Pages 103-122

5. Anomaly Detection

   1. A Learning-Based Approach to the Detection of SQL Attacks

      • Fredrik Valeur, Darren Mutz, Giovanni Vigna

      Pages 123-140

   2. Masquerade Detection via Customized Grammars

      • Mario Latendresse

      Pages 141-159

   3. A Prevention Model for Algorithmic Complexity Attacks

      • Suraiya Khan, Issa Traore

      Pages 160-173

6. Misuse Detection

   1. Detecting Malicious Code by Model Checking

      • Johannes Kinder, Stefan Katzenbeisser, Christian Schallhart, Helmut Veith

      Pages 174-187

   2. Improving the Efficiency of Misuse Detection

      • Michael Meier, Sebastian Schmerl, Hartmut Koenig

      Pages 188-205

7. Distributed Intrusion Detection and IDS Testing

   1. Enhancing the Accuracy of Network-Based Intrusion Detection with Host-Based Context

      • Holger Dreger, Christian Kreibich, Vern Paxson, Robin Sommer

      Pages 206-221

   2. TCPtransform: Property-Oriented TCP Traffic Transformation

      • Seung-Sun Hong, Fiona Wong, S. Felix Wu, Bjorn Lilja, Tony Y. Yohansson, Henric Johnson et al.

      Pages 222-240

8. Back Matter

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On behalf of the Program Committee, it is our pleasure to present to you the proceedings of the 2nd GI SIG SIDAR Conference on Detection of Intrusions & Malware, and Vulnerability Assessment (DIMVA). DIMVA is organized by the Special Interest Group Security — Intrusion Detection and Response (SIDAR) of the German Informatics Society (GI) as an annual conference that brings together experts from throughout the world to discuss the state of the art in the areas of intrusion detection, detection of malware, and assessment of vulnerabilities. TheDIMVA2005ProgramCommitteereceived51submissionsfrom18co- tries. This represents an increase of approximately 25% compared with the n- ber of submissions last year. All submissions were carefully reviewed by at least three Program Committee members or external experts according to the cri- ria of scienti?c novelty, importance to the ?eld, and technical quality. The ?nal selection took place at a meeting held on March 18, 2005, in Zurich, Switz- land. Fourteen full papers were selected for presentation and publication in the conference proceedings. In addition, three papers were selected for presentation in the industry track of the conference. The program featured both theoretical and practical research results, which were grouped into six sessions. Philip Att?eld from the Northwest Security Institute gave the opening keynote speech. The slides presented by the authors are available on the DIMVA 2005 Web site at http://www.dimva.org/dimva2005 We sincerely thank all those who submitted papers as well as the Program Committee members and the external reviewers for their valuable contributions.

• Code
• Internet
• SQL
• access control
• audit control
• authentication
• cryptographic attacks
• intrusion detection
• log-data analysis
• network intrusion
• network security
• pattern analysis
• privacy
• secure communications
• security

• IBM Research GmbH, Rüschlikon, Switzerland

  Klaus Julisch

• Secure Systems Lab, Technical University of Vienna, Vienna, Austria

  Christopher Kruegel