Cyber Security Cryptography and Machine Learning : Second International Symposium, CSCML 2018, Beer Sheva, Israel, June 21-22, 2018, Proceedings / edited by Itai Dinur, Shlomi Dolev, Sachin Lodha.

Format:

Book

Contributor:

Dinur, Itai, editor.

Dolev, Shlomi, editor.

Lodha, Sachin, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Security and cryptology ; SL 4, 10879.

Security and Cryptology ; 10879

Language:

English

Subjects (All):

Computer security.

Operating systems (Computers).

Application software.

Data mining.

Computers and civilization.

Computer networks.

Systems and Data Security.

Operating Systems.

Information Systems Applications (incl. Internet).

Data Mining and Knowledge Discovery.

Computers and Society.

Computer Communication Networks.

Local Subjects:

Systems and Data Security.

Operating Systems.

Information Systems Applications (incl. Internet).

Data Mining and Knowledge Discovery.

Computers and Society.

Computer Communication Networks.

Physical Description:

1 online resource (XII, 287 pages) : 86 illustrations.

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 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 the scope.

Contents:

Invited Paper - Optical Cryptography for Cyber Secured and Stealthy Fiber-Optic Communication Transmission

Efficient Construction of the Kite Generator Revisited

Using Noisy Binary Search for Differentially Private Anomaly Detection

Distributed Web Mining of Ethereum

An Information-Flow Control model for Online Social Networks based on user-attribute credibility and connection-strength factors. -Detecting and Coloring Anomalies in real cellular network using Principle Component Analysis

Self-Stabilizing Byzantine Tolerant Replicated State Machine Based on Failure Detectors

Brief Announcement: Providing End-to-End Secure Communication in Low-Power Wide Area Networks (LPWANs

Privacy Via Maintaining Small Similitude Data for Big Data Statistical Representation

Highway State Gating for Recurrent Highway Networks: Improving information flow through time

Secured Data Gathering Protocol for IoT Networks

Towards building active application defense systems

Secure Non-Interactive User Re-Enrollment in Biometrics-based Identification and Authentication Systems

Brief Announcement: Image authentication using Hyperspectral layers

Brief Announcement: Graph-based and Probabilistic Discrete Models Used in Detection of Malicious Attacks

Intercepting a Stealthy Network

Privacy in E-Shopping Transactions: Exploring and Addressing the Trade-Offs

Detection in the Dark - Exploiting XSS Vulnerability in C&C Panels as a New Technique to Detect Malwares

A Planning Approach to Monitoring Computer Programs' Behavior

Brief Announcement: Gradual Learning of Deep Recurrent Neural Network

Brief Announcement: Adversarial Evasion of Western Electric Rules

Brief Announcement: Deriving Context for Touch Events.

Other Format:

Printed edition:

ISBN:

978-3-319-94147-9

9783319941479

Access Restriction:

Restricted for use by site license.