04933nam 22007455 450 99641828570331620210805144353.03-030-49785-210.1007/978-3-030-49785-9(CKB)4100000011325576(MiAaPQ)EBC6298455(DE-He213)978-3-030-49785-9(PPN)248595180(EXLCZ)99410000001132557620200603d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCyber Security Cryptography and Machine Learning[electronic resource] Fourth International Symposium, CSCML 2020, Be'er Sheva, Israel, July 2–3, 2020, Proceedings /edited by Shlomi Dolev, Vladimir Kolesnikov, Sachin Lodha, Gera Weiss1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (265 pages) illustrationsSecurity and Cryptology ;121613-030-49784-4 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.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.Security and Cryptology ;12161Computer securityComputer communication systemsData encryption (Computer science)ComputersArchitecture, ComputerComputer networksSecurity measuresSystems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Cryptologyhttps://scigraph.springernature.com/ontologies/product-market-codes/I28020Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Computer System Implementationhttps://scigraph.springernature.com/ontologies/product-market-codes/I13057Mobile and Network Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28050Computer security.Computer communication systems.Data encryption (Computer science).Computers.Architecture, Computer.Computer networksSecurity measures.Systems and Data Security.Computer Communication Networks.Cryptology.Information Systems and Communication Service.Computer System Implementation.Mobile and Network Security.005.824Dolev Shlomiedthttp://id.loc.gov/vocabulary/relators/edtKolesnikov Vladimiredthttp://id.loc.gov/vocabulary/relators/edtLodha Sachinedthttp://id.loc.gov/vocabulary/relators/edtWeiss Geraedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996418285703316Cyber Security Cryptography and Machine Learning2200042UNISA