Detection of Intrusions and Malware, and Vulnerability Assessment : 9th International Conference, DIMVA 2012, Heraklion, Crete, Greece, July 26-27, 2012, Revised Selected Papers
This book constitutes the refereed post-proceedings of the 9th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2012, held in Heraklion, Crete, Greece, in July 2012. The 10 revised full papers presented together with 4 short papers were carefully r...
שמור ב:
| מחבר ראשי: | |
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| מחברים אחרים: | , |
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| סדרה: | Security and Cryptology
7591 |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Detection of Intrusions and Malware, and Vulnerability Assessment, Texte imprimé, 9783642372995 • Detection of Intrusions and Malware, and Vulnerability Assessment, Texte imprimé, 9783642373015 |
תוכן הענינים:
- Using File Relationships in Malware
- Understanding DMA Malware
- Large-Scale Analysis of Malware Downloaders
- Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications
- ADAM: An Automatic and Extensible Platform to Stress Test Android Anti-virus Systems
- A Static, Packer-Agnostic Filter to Detect Similar Malware Samples
- Experiments with Malware Visualization
- Tracking Memory Writes for Malware Classification and Code Reuse Identification
- System-Level Support for Intrusion Recovery
- NetGator: Malware Detection Using Program Interactive Challenges
- SmartProxy: Secure Smartphone-Assisted Loginon Compromised Machines
- BISSAM: Automatic Vulnerability Identification of Office Documents
- Self-organized Collaboration of Distributed IDS Sensors
- Shedding Light on Log Correlation in Network Forensics Analysis.