Vai al contenuto principale della pagina

Cyber Security Cryptography and Machine Learning : Fourth International Symposium, CSCML 2020, Be'er Sheva, Israel, July 2–3, 2020, Proceedings / / edited by Shlomi Dolev, Vladimir Kolesnikov, Sachin Lodha, Gera Weiss



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Titolo: Cyber Security Cryptography and Machine Learning : Fourth International Symposium, CSCML 2020, Be'er Sheva, Israel, July 2–3, 2020, Proceedings / / edited by Shlomi Dolev, Vladimir Kolesnikov, Sachin Lodha, Gera Weiss Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (265 pages) : illustrations
Disciplina: 005.824
Soggetto topico: Computer security
Computer communication systems
Data encryption (Computer science)
Computers
Architecture, Computer
Computer networks - Security measures
Systems and Data Security
Computer Communication Networks
Cryptology
Information Systems and Communication Service
Computer System Implementation
Mobile and Network Security
Persona (resp. second.): DolevShlomi
KolesnikovVladimir
LodhaSachin
WeissGera
Nota di contenuto: Single Tweakey Cryptanalysis of Reduced-Round Skinny-64 -- Zero-Knowledge to the Rescue: Consistent Redundant Backup of Keys Generated for Critical Financial Services -- Security Ranking of IoT Devices Using an AHP Model -- Robust Malicious Domain Detection -- NeuroGIFT : Using a Machine Learning Based Sat Solver for Cryptanalysis -- Can the Operator of a Drone be Located by Following the Drone's Path? -- Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning -- Fast Polynomial Inversion for Post Quantum QC-MDPC Cryptography -- Efficient CORDIC-based Sine and Cosine Implementation for a Datafow Architecture -- SecureMCMR: Computation Outsourcing for MapReduce Applications -- Evasion is not enough: A Case Study of Android Malware -- Toward Self-Stabilizing Blockchain, Reconstructing Totally Erased Blockchain -- A Recommender System for Efficient Implementation of Privacy Preserving Machine Learning Primitives based on FHE -- Comparison of DNS based Methods for Detecting Malicious Domains -- Average-case Competitive Ratio for Evaluating Scheduling Algorithms of Multi-user Cache -- CryptoRNN - Privacy-Preserving Recurrent Neural Networks using Homomorphic Encryption.
Sommario/riassunto: This book constitutes the refereed proceedings of the Fourth International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2020, held in Beer-Sheva, Israel, in July 2020. The 12 full and 4 short papers presented in this volume were carefully reviewed and selected from 38 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.
Titolo autorizzato: Cyber Security Cryptography and Machine Learning  Visualizza cluster
ISBN: 3-030-49785-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910409661403321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Security and Cryptology ; ; 12161