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Cyber security, cryptology, and machine learning = 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cyber security, cryptology, and machine learning/ edited by Shlomi Dolev, Jonathan Katz, Amnon Meisels.
其他題名:	6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings /
其他題名:	CSCML 2022
其他作者:	Dolev, Shlomi.
團體作者:	CSCML (Symposium)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xiv, 508 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Data encryption (Computer science) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-07689-3
ISBN:	9783031076893

Cyber security, cryptology, and machine learning = 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings /
Cyber security, cryptology, and machine learning6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings /[electronic resource] :CSCML 2022edited by Shlomi Dolev, Jonathan Katz, Amnon Meisels. - Cham :Springer International Publishing :2022. - xiv, 508 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,133011611-3349 ;. - Lecture notes in computer science ;13301..

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.

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.

ISBN: 9783031076893

Standard No.: 10.1007/978-3-031-07689-3doiSubjects--Topical Terms:

844473
Data encryption (Computer science)
--Congresses.

LC Class. No.: QA76.9.A25 / C73 2022

Dewey Class. No.: 005.824

Cyber security, cryptology, and machine learning = 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings /
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