Cyber Security, Cryptology, and Machine Learning : 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings / edited by Shlomi Dolev, Jonathan Katz, Amnon Meisels.

Format:

Book

Contributor:

Dolev, Shlomi, editor.

Meisels, Amnon, editor.

Katz, Jonathan, 1974- editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13301

Language:

English

Subjects (All):

Data protection.

Application software.

Computer networks.

Machine learning.

Cryptography.

Data encryption (Computer science).

Data and Information Security.

Computer and Information Systems Applications.

Computer Communication Networks.

Machine Learning.

Cryptology.

Local Subjects:

Data and Information Security.

Computer and Information Systems Applications.

Computer Communication Networks.

Machine Learning.

Cryptology.

Physical Description:

1 online resource (522 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

This book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022, held in Be'er Sheva, Israel, in June - July 2022. The 24 full and 11 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 53 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.

Contents:

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.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Other Format:

Print version: Dolev, Shlomi Cyber Security, Cryptology, and Machine Learning

ISBN:

3-031-07689-3