Cyber Security Cryptography and Machine Learning
Description
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.
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Content
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.
