Vor Ort
Merkzettel Warenkorb
  • Produktbild: Cyber Security, Cryptology, and Machine Learning
  • Produktbild: Cyber Security, Cryptology, and Machine Learning
Band 13301

Cyber Security, Cryptology, and Machine Learning 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings

Aus der Reihe Lecture Notes in Computer Science

95,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2022

Herausgeber

Shlomi Dolev + weitere

Verlag

Springer

Seitenzahl

508

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

785 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-07688-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2022

Herausgeber

Verlag

Springer

Seitenzahl

508

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

785 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-07688-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Cyber Security, Cryptology, and Machine Learning
  • Produktbild: Cyber Security, Cryptology, and Machine Learning

  • Blind Rotation in Fully Homomorphic Encryption with Extended Keys.- Monitoring Time Series With Missing Values: a Deep Probabilistic Approach.- Time, Memory and Accuracy Tradeoffs in Side-Channel Trace Profiling.- Design of Intrusion Detection System based on Logical Analysis of Data (LAD) using Information Gain Ratio.- Simulating a Coupon Collector.- On the undecidability of the Panopticon detection problem.- Privacy-Preserving Contrastive Explanations with Local Foil Trees.- Timing leakage analysis of non-constant-time NTT implementations with Harvey butterflies.- Predicting the direction of changes in the values of time series for relatively small training samples.- Machine-Learning Based Objective Function Selection for Community Detection.- Randomness for Randomness Testing.- Botnet attack identification based on SDN.- Setting up an anonymous gesture database as well as enhancing it with a verbal script simulator for rehabilitation applications.- Fake News Detection in Social Networks using Machine Learning and Trust.- Reinforcement Based User Scheduling for Cellular Communications.- A Heuristic Framework to search for Approximate Mutually Unbiased Bases.- Counter Mode for Long Messages and a Long Nonce.- Transfer learning for time series classification using synthetic data generation.- Non-Stopping Junctions via Traffic Scheduling.- Predicting subscriber usage: Analyzing multidimensional time-series using Convolutional Neural Networks.- Smart Cybercrime Classification for Digital Forensics with Small Datasets.- Auditable, Available and Resilient Private Computation on the Blockchain via MPC.- Union Buster: A Cross-Container Covert-Channel Exploiting Union Mounting.- Mutual Accountability Layer: Accountable Anonymity within Accountable Trust.- Faster Post-Quantum TLS handshakes Without Intermediate CA Certificates.- Enhancing Cybersecurity of Satellites at sub-THz Bands.- Polynomial Approximation of Inverse sqrt Function for FHE.- Detecting Clickbait in Online Social Media: You Won't Believe How We Did It.- Etherless Ethereum Tokens: Simulating Native Tokens in Ethereum.- A Linear-Time 2-Party Secure Merge Protocol.- FairMM: A Fast and Frontrunning-Resistant Crypto Market-Maker.-In-app Cryptographically-Enforced Selective Access Control for Microsoft Office and Similar Platforms.- Differentially-Private ``Draw and Discard'' Machine Learning: Training Distributed Models from Enormous Crowds.- Privacy Preserving Solution of DCOPs by Mediation.- BFLUT Bloom Filter for Private Look Up Tables.