Cyber Security Cryptography and Machine Learning

Name: Cyber Security Cryptography and Machine Learning | Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27-28, 2019, Proceedings
Brand: Springer
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Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27-28, 2019, Proceedings

Shlomi Dolev Danny Hendler Sachin Lodha Moti Yung(Herausgeber*in)

Springer (Verlag)

Erschienen am 17. Juni 2019

XIII, 330 Seiten

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Inhalt

Intro
Preface
Organization
Contents
Jamming Strategies in Covert Communication
1 Introduction
2 System Model
2.1 Covert Criteria
3 Covert Criteria Compliance
4 Detection at Bob
4.1 Bob's Antennas M=1
4.2 Bob's Antennas M&1
5 The Jammer's Strategies
5.1 The Case Where M=1
5.2 The Case Where M&1
6 Conclusion
References
Linear Cryptanalysis Reduced Round of Piccolo-80
1 Introduction
2 A Brief Description of Piccolo
3 Previous Analysis of Piccolo
4 A Linear Attack on Reduced Round of Piccolo-80
4.1 Linear Approximation of the F-Function
4.2 Linear Approximation of 6 Round Piccolo-80
4.3 A Linear Attack on 7 Rounds of Piccolo-80
4.4 A Linear Attack on 8 Rounds of Piccolo-80
4.5 Input MSB of the F-Function as a Partitioning Distinguisher
4.6 Extracting the MSB Values of the Whitening Keys wk0 and wk1
5 Experimental Verification of a Reduced-Round Attack
5.1 Partial Verification of 2 Rounds and 4 Rounds Linear Attack
5.2 Verification of MSB as a Partitioning Distinguisher
6 Conclusion
References
Continuous Key Agreement with Reduced Bandwidth
1 Introduction
2 Notation and Background
2.1 Continuous Key Agreement (CKA)
2.2 Key Encapsulation Mechanism (KEM)
3 Merged KEM (MKEM)
4 BIKE-MKEM
4.1 BIKE1-MKEM Transformation
4.2 CKA, MKEM and DFR
5 A Hybrid CKA Constructions
6 Conclusion
References
Covert Channel Cyber-Attack over Video Stream DCT Payload
Abstract
1 Introduction and Motivation
2 Glossary
3 Objective
3.1 Attack Perspective
3.2 Infrastructure Implementation Method
3.3 Research Structure and Lab Setup
3.4 Attack Algorithm and Related Work
3.5 Implementation
4 Results
5 Comparative Analysis DCT Steganography Techniques
6 Conclusion and Future Research Directions
Acknowledgment
References
Effects of Weather on Drone to IoT QKD
Abstract
1 Introduction
2 Scenario Under Consideration
3 Discussion
References
Malware Classification Using Image Representation
1 Introduction
2 Related Work
2.1 Visualization Approaches
3 Our Methodology
3.1 Dataset Collection and Pre-processing
4 Model Configuration
4.1 Dense CNN Configuration
4.2 ResNet-50 Architectural Details
5 Experimental Results and Comparison with Previous Work
6 Limitations and Future Work
7 Conclusion
References
MLDStore
1 Introduction
2 Motivation and Related Work
3 Data Sharing Protocol
4 Ownership of the Model
5 Conclusion
References
Cyber Attack Localization in Smart Grids by Graph Modulation (Brief Announcement)
1 Introduction and Motivation
2 Methodology
3 Case Study
References
Beyond Replications in Blockchain
1 Introduction
2 On-Blockchain Scheme
3 Off-Blockchain Scheme
References
Self-stabilizing Byzantine Consensus for Blockchain
1 Introduction
2 Terminology
3 Transient Error that Incapacitates BFT
4 Byzantine Self-stabilization for Orderers
References
The Advantage of Truncated Permutations
1 Introduction
2 Notation and Preliminaries
3 Proof of Theorem1.1
4 Conclusions
References
Reconstructing C2 Servers for Remote Access Trojans with Symbolic Execution
1 Introduction
2 Approach
2.1 Overview
2.2 Steps
2.3 Discussion
3 Experimental Evaluation
3.1 NetWire
3.2 GoldSun
4 Related Work
5 Conclusion
References
Generating a Random String with a Fixed Weight
1 Introduction
2 Preliminaries, Notation, and Conventions
2.1 The Shuffling Method
2.2 Rejection Method
2.3 Sorting Method
3 RepeatedAND method
4 Different Representations of Strings
5 Handling the Case q=3
6 Results
7 Conclusion
A A variant of the RepeatedAND method
B Bounding the probability that the RepeatedAND algorithm does not stop
References
An Access Control Model for Data Security in Online Social Networks Based on Role and User Credibility
Abstract
1 Introduction
2 Background and Related Work
3 OSN Role and Trust Based Access Control (RTBAC)
3.1 The RTBAC Model
3.2 Criteria Choice for Trust Estimation
3.3 Calculating Trust Parameters' Values
3.4 The Model's Algorithm
3.5 Experimental Assessment and Real OSN Data Estimation of Trust
4 Discussion
5 Conclusion and Future Work
References
Enhancing Image Steganalysis with Adversarially Generated Examples
1 Introduction
2 Steganography
2.1 Least Significant Bits
2.2 HiDDeN
2.3 SteganoGAN
3 Steganalysis
3.1 StegExpose
3.2 YeNet
4 Experiments
5 Analysis
6 Conclusion
References
Controllable Privacy Preserving Blockchain
1 Introduction
2 Related Work
3 Cryptographic Toolkit
3.1 Pedersen Commitment
3.2 Ring Signature
3.3 Multi-Party Computations
3.4 Feldman's Verifiable Secret Sharing Scheme (VSS)
4 Background on Monero
5 Terminology and Requirements
5.1 Security Model
6 FiatChain Protocols
6.1 Client's Registration
6.2 Transaction Keys and Stealth Address Generation
6.3 Verifying a Payment Transaction
7 Disclosure
7.1 Disclosure of a Transaction in Which the Suspected Client Is One of the Receivers
7.2 Disclosure of a Transaction Where the Suspected Client Is the Sender
8 Implementation Details
9 Conclusion
References
A Relay Attack on a Tamper Detection System (Brief Announcement)
1 Introduction
2 The Tamper Detection System of Bagci et al.Ethem
3 The Relay Attack on the Tamper Detection System
4 Summary of Results
Reference
Amended Cross-Entropy Cost: An Approach for Encouraging Diversity in Classification Ensemble (Brief Announcement)
1 Introduction
2 Regression with Negative Correlation Learning
3 Classification
4 Stacked Diversified Mixture of Classifiers
5 Results
5.1 MNIST Using Vanilla Diversified Classifiers
5.2 CIFAR-10 Using SDMC
6 Conclusion
References
Governance and Regulations Implications on Machine Learning (Brief Announcement)
1 Introduction and Background
2 Method, Feasibility Results and Summary
References
Simulating Homomorphic Evaluation of Deep Learning Predictions
1 Introduction
2 Homomorphic RLWE Encryption Schemes and Noise Propagation
2.1 HEAAN and TFHE Through the Chimera Framework
2.2 Noise Models for Homomorphic Operations
3 Evaluation of Nonlinear Functions in Neural Networks
3.1 Non-linear Functions in TFHE
3.2 Non-linear Functions in HEAAN
4 Predictions for Deep Learning
4.1 Robustness Against the FHE Error Models
4.2 Experiments
4.3 Conclusion/Discussion
References
Everything Is in the Name - A URL Based Approach for Phishing Detection
1 Introduction
1.1 Contributions
2 Related Work
2.1 Making Things Invisible
2.2 Better Interfaces and Training
3 Approach
3.1 Datasets
3.2 Features
3.3 Logistic Regression for URL Classification
4 Results and Discussion
5 Conclusion and Future Work
References
Network Cloudification
1 Introduction
2 Formal Problem Statement and Its Reduction to ILP
3 Heuristic Approach
4 Launching the Cloudified Version
5 Conclusions
References
New Goal Recognition Algorithms Using Attack Graphs
1 Introduction
2 Goal Recognition
2.1 Other Goal Recognition Works
3 Attack Graphs
3.1 Definitions and Background
3.2 Attack Graphs as PDDL
4 Planning-Based Algorithms for GR
4.1 The R&G Approach
4.2 The M&S Approach
4.3 Improvement 1: Realtime Reasoning and Generalization (R&G+)
4.4 Improvement 2: Sunk Cost (SC)
5 Metric-Based Algorithms for GR
5.1 Plan Edit Distance (PED)
5.2 Alternative Plan Cost
6 Empirical Evaluation
6.1 Prediction Quality
6.2 Noisy Observations
6.3 Missing Observations
6.4 Running Times
7 Summary, Discussion and Conclusions
References
PeerClear: Peer-to-Peer Bot-net Detection
1 Introduction
2 Background
3 Related Work
4 Our Approach
4.1 P2P Host Detection
4.2 P2P Bot-net Detection
5 Results and Comparison with Past Work
6 Conclusion
References
Rethinking Identification Protocols from the Point of View of the GDPR
1 Introduction
2 GDPR and Privacy Protection Principles for Identification Protocols
2.1 Scope
2.2 Security Reality
3 Privacy Threats and Privacy Requirements
4 Example Identification Schemes and Their Privacy Threats
4.1 Static Diffie-Hellman Scheme
4.2 Schnorr Identification Scheme
4.3 Wu and Stinson-Wu Identification Schemes
4.4 Raimondo-Gennaro Deniable Identification
References
Temporal Pattern-Based Malicious Activity Detection in SCADA Systems (Brief Announcement)
1 Scientific Background
2 Method Description
3 Evaluation
References
Anonymous Deniable Identification in Ephemeral Setup and Leakage Scenarios (Brief Announcement)
1 Introduction
2 Proposed Anonymous Identification Schemes Secure in CPLVE
3 Conclusion
References
Randomized and Set-System Based Collusion Resistant Key Predistribution Schemes (Brief Announcement)
1 Introduction
2 A Probabilistic Key Predistribution Scheme and Its Security Properties
3 Key Rings and Set Systems Based on Combinatorial Designs
4 Conclusions
References
Author Index

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