 Название: Cyber Security Cryptography and Machine Learning: 5th International Symposium, CSCML 2021
Автор: Shlomi Dolev, Oded Margalit, Benny Pinkas
Издательство: Springer
Год: 2021
Страниц: 520
Язык: английский
Формат: pdf (true), epub
Размер: 41.2 MB
This book constitutes the refereed proceedings of the 5th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2021, held in Be'er Sheva, Israel, in July 2021.
The 22 full and 13 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 48 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.
Topics of interest for CSCML include cyber security design; secure software development methodologies; formal methods, semantics and verification of secure systems; fault tolerance, reliability, and availability of distributed secure systems; game-theoretic approaches to secure computing; automatic recovery self-stabilizing and self-organizing systems; communication, authentication, and identification security; cyber security for mobile systems and the Internet of Things; cyber security of corporations; security and privacy for cloud, Edge and Fog computing; cryptocurrency; blockchain; cryptography; cryptographic implementation analysis and construction; secure multi-party computation; privacy-enhancing technologies and anonymity; post-quantum cryptology and security; Machine Learning and Big Data; anomaly detection and malware identification; business intelligence and security; digital forensics, digital rights management; trust management and reputation systems; and information retrieval, risk analysis, and DoS.
Contents:
Programmable Bootstrapping Enables Efficient Homomorphic Inference of Deep Neural Networks
Adversaries Strike Hard: Adversarial Attacks Against Malware Classifiers Using Dynamic API Calls as Features
Privacy-Preserving Coupling of Vertically-Partitioned Databases and Subsequent Training with Gradient Descent
Principal Component Analysis Using CKKS Homomorphic Scheme
DepthStAr: Deep Strange Arguments Detection
Robust Multivariate Anomaly-Based Intrusion Detection System for Cyber-Physical Systems
Privacy-Preserving Password Strength Meters with FHE
Automatic Detection of Water Stress in Corn Using Image Processing and Deep Learning
Tortoise and Hares Consensus: The Meshcash Framework for Incentive-Compatible, Scalable Cryptocurrencies
Game of Drones - Detecting Spying Drones Using Time Domain Analysis
Privacy Vulnerability of NeNDS Collaborative Filtering
Lawful Interception in WebRTC Peer-To-Peer Communication
Hierarchical Ring Signatures Immune to Randomness Injection Attacks
Theoretical Aspects of a Priori On-Line Assessment of Data Predictability in Applied Tasks
Randomly Rotate Qubits, Compute and Reverse for Weak Measurements Resilient QKD and Securing Entanglement
Warped Input Gaussian Processes for Time Series Forecasting
History Binding Signature
Effective Enumeration of Infinitely Many Programs that Evade Formal Malware Analysis
DNS-Morph: UDP-Based Bootstrapping Protocol for Tor
Polynomial Time k-Shortest Multi-criteria Prioritized and All-Criteria-Disjoint Paths
Binding BIKE Errors to a Key Pair
Fast and Error-Free Negacyclic Integer Convolution Using Extended Fourier Transform
Efficient Secure Ridge Regression from Randomized Gaussian Elimination
PolyDNN Polynomial Representation of NN for Communication-Less SMPC Inference
Use of Blockchain for Ensuring Data Integrity in Cloud Databases
Invited Talk: The Coming AI Hackers
Turning HATE into LOVE: Compact Homomorphic Ad Hoc Threshold Encryption for Scalable MPC
Fully Dynamic Password Protected Secret Sharing: Simplifying PPSS Operation and Maintenance
Early Detection of In-Memory Malicious Activity Based on Run-Time Environmental Features
Software Integrity and Validation Using Cryptographic Composability and Computer Vision
Efficient Generic Arithmetic for KKW
Trust and Verify: A Complexity-Based IoT Behavioral Enforcement Method
Using a Neural Network to Detect Anomalies Given an N-gram Profile
Meta-X: A Technique for Reducing Communication in Geographically Distributed Computations
Blindly Follow: SITS CRT and FHE for DCLSMPC of DUFSM (Extended Abstract)
Implementing GDPR in Social Networks Using Trust and Context
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Cyber Security Cryptography and Machine Learning: 5th International Symposium, CSCML 2021 
