國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cyber security, cryptology, and machine learning/ edited by Shlomi Dolev, Jonathan Katz, Amnon Meisels.
Reminder of title:	6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings /
remainder title:	CSCML 2022
other author:	Dolev, Shlomi.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiv, 508 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Data encryption (Computer science) -
Online resource:	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 ;6140..

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:

658943
Data encryption (Computer science)

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 /
LDR:04397nam a2200373 a 4500 001 1115662
003 DE-He213
005 20220530134826.0
006 m d
007 cr nn 008maaau
008 240123s2022 sz s 0 eng d
020 $a 9783031076893 $q (electronic bk.)
020 $a 9783031076886 $q (paper)
024 7 $a 10.1007/978-3-031-07689-3 $2 doi
035 $a 978-3-031-07689-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25 $b C73 2022
072 7 $a UR $2 bicssc
072 7 $a UTN $2 bicssc
072 7 $a COM053000 $2 bisacsh
072 7 $a UR $2 thema
072 7 $a UTN $2 thema
082 0 4 $a 005.824 $2 23
090 $a QA76.9.A25 $b C958 2022
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Cyber security, cryptology, and machine learning $h [electronic resource] : $b 6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30-July 1, 2022 : proceedings / $c edited by Shlomi Dolev, Jonathan Katz, Amnon Meisels.
246 3 $a CSCML 2022
260 $a Cham : $c 2022. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiv, 508 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 13301
505 0 $a 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.
520 $a 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.
650 0 $a Data encryption (Computer science) $3 658943
650 0 $a Internet $x Security measures $v Congresses. $3 675236 $3 742903
650 0 $a Machine learning $v Congresses. $3 574552 $3 727808
650 1 4 $a Data and Information Security. $3 1365785
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Cryptology. $3 1211076
700 1 $a Dolev, Shlomi. $3 682587
700 1 $a Katz, Jonathan. $3 815261
700 1 $a Meisels, Amnon. $3 677869
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u https://doi.org/10.1007/978-3-031-07689-3
950 $a Computer Science (SpringerNature-11645)