Detection of Intrusions and Malware, and Vulnerability Assessment : 19th International Conference, DIMVA 2022, Cagliari, Italy, June 29 –July 1, 2022, Proceedings / / edited by Lorenzo Cavallaro, Daniel Gruss, Giancarlo Pellegrino, Giorgio Giacinto

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (229 pages)
• Disciplina: 004; 005.8
• Soggetto topico: Data protection; Computer engineering; Computer networks; Computers; Data and Information Security; Computer Engineering and Networks; Computing Milieux
• Persona (resp. second.): CavallaroLorenzo
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Hybrid Pruning: Towards A Precise Static Analysis -- Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models -- Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware -- COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks -- Prioritizing Antivirus Alerts on Internal Enterprise Machines -- VANDALIR: Vulnerability Analyses based on Datalog and LLVM-IR -- Branch Different - Spectre Attacks on Apple Silicon -- MPKAlloc: Efficient Heap Meta-Data Integrity Through Hardware Memory Protection Keys -- A Human in Every APE: Delineating and Evaluating the Human Analysis Systems of Anti-Phishing Entities -- Amplification Chamber: Dissecting the Attack Infrastructure of Memcached DRDoS Attacks -- Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots.
• Sommario/riassunto: This book constitutes the proceedings of the 19th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2022, held in Cagliari, Italy, in June – July 2021. The 10 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 39 submissions. .
• Titolo autorizzato: Detection of Intrusions and Malware, and Vulnerability Assessment
• ISBN: 3-031-09484-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910580176703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13358