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E-raamat: Detection of Intrusions and Malware, and Vulnerability Assessment: 17th International Conference, DIMVA 2020, Lisbon, Portugal, June 24-26, 2020, Proceedings

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  • Formaat: EPUB+DRM
  • Sari: Security and Cryptology 12223
  • Ilmumisaeg: 07-Jul-2020
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030526832
  • Formaat - EPUB+DRM
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  • Formaat: EPUB+DRM
  • Sari: Security and Cryptology 12223
  • Ilmumisaeg: 07-Jul-2020
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030526832

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This book constitutes the proceedings of the 17th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2020, held in Lisbon, Portugal, in June 2020.*





The 13 full papers presented in this volume were carefully reviewed and selected from 45 submissions. The contributions were organized in topical sections named: vulnerability discovery and analysis; attacks; web security; and detection and containment.





*The conference was held virtually due to the COVID-19 pandemic.
Vulnerability Discovery and Analysis.- Automated CPE labeling of CVE
summaries with Machine Learning.- Backstabber's Knife Collection: A Review of
Open Source Software Supply Chain Attacks.- Putting Attacks in Context: A
Building Automation Testbed for Impact Assessment from the Victims
Perspective.- Attacks.- Fast and Furious: Outrunning Windows Kernel
Notification Routines from User-Mode.- HAEPG: An Automatic Multi-hop
Exploitation Generation Framework.- Understanding Android VoIP Security: A
System-level Vulnerability Assessment.- Web Security.- Web Runner 2049:
Evaluating Third-Party Anti-bot Services.- Short Paper - Taming The Shape
Shifter: Detecting Anti-fingerprinting Browsers.- It Never Rains but It
Pours: Analyzing and Detecting Fake Removal Information Advertisement Sites.-
On the Security of Application Installers & Online Software Repositories.-
Detection and Containment.- Distributed Heterogeneous N-Variant Execution.-
Sec2graph:Network Attack Detection based on Novelty Detection on Graph
Structured Data.- Efficient Context-Sensitive CFI Enforcement through a
Hardware Monitor.