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OverviewThis 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. Full Product DetailsAuthor: Clémentine Maurice , Leyla Bilge , Gianluca Stringhini , Nuno NevesPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Volume: 12223 Weight: 0.456kg ISBN: 9783030526825ISBN 10: 3030526828 Pages: 281 Publication Date: 04 July 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsVulnerability 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |