Cyber security cryptography and mach...
CSCML (Symposium) (2020 :)

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  • Cyber security cryptography and machine learning = fourth International Symposium, CSCML 2020, Be'er Sheva, Israel, July 2-3, 2020 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Cyber security cryptography and machine learning/ edited by Shlomi Dolev ... [et al.].
    Reminder of title: fourth International Symposium, CSCML 2020, Be'er Sheva, Israel, July 2-3, 2020 : proceedings /
    remainder title: CSCML 2020
    other author: Dolev, Shlomi.
    corporate name: CSCML (Symposium)
    Published: Cham :Springer International Publishing : : 2020.,
    Description: xii, 255 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Data encryption (Computer science) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-030-49785-9
    ISBN: 9783030497859
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