Format:
1 Online-Ressource(XII, 281 p. 234 illus., 60 illus. in color.)
Edition:
1st ed. 2020.
ISBN:
9783030526832
Series Statement:
Security and Cryptology 12223
Content:
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 Victim’s 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.
Content:
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.
Additional Edition:
ISBN 9783030526825
Additional Edition:
ISBN 9783030526849
Additional Edition:
Erscheint auch als Druck-Ausgabe DIMVA (17. : 2020 : Online) Detection of intrusions and malware, and vulnerability assessment Cham : Springer, 2020 ISBN 9783030526825
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030526849
Language:
English
Subjects:
Computer Science
Keywords:
Malware
;
Konferenzschrift
DOI:
10.1007/978-3-030-52683-2