
Information Security Applications
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The 25 papers included in this book were carefully reviewed and selected from 76 submissions. They were organized in topical sections as follows: network security; cryptography; vulnerability analysis; privacy enhancing technique; security management; security engineering.
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Content
- Intro
- Preface
- Organization
- Contents
- Cryptography
- Collision-Resistant and Pseudorandom Hash Function Using Tweakable Block Cipher
- 1 Introduction
- 2 Preliminaries
- 2.1 Cryptographic Hash Function
- 2.2 Pseudorandom Function
- 2.3 Tweakable Block Cipher in TWEAKEY Framework
- 2.4 PRF and TPRP Under Related-Key Attack
- 3 Proposed Construction
- 4 Collision Resistance
- 5 Pseudorandom-Function Property
- References
- Provably Secure Password-Authenticated Key Exchange Based on SIDH
- 1 Introduction
- 2 Preliminaries
- 2.1 SIDH
- 2.2 Standard Isogeny-Based Hard Problems
- 3 The Proposed PAKE
- 3.1 Description of the Proposed PAKE
- 3.2 Comparison with Relevant Works
- 4 Security Analysis of the Proposed PAKE
- 4.1 Informal Security Analysis
- 4.2 Security in the BPR Model
- 5 Conclusion
- References
- Group Signatures with Designated Traceability over Openers' Attributes in Bilinear Groups
- 1 Introduction
- 1.1 Our Contribution
- 2 Preliminaries
- 2.1 Syntax of GSdT
- 2.2 Security Definitions of GSdT
- 3 Our Instantiation
- 3.1 Generic Constriction of GSdT in ch3AnadaFH21
- 3.2 Key Generation and User Joining
- 3.3 Generating and Verifying a Group Signature
- 3.4 Opening and Judging
- 4 Properties
- 4.1 Security
- 4.2 Asymptotic Performance
- 5 Conclusion
- References
- Grover on SPARKLE
- 1 Introduction
- 1.1 Our Contribution and Organization
- 2 Background
- 2.1 SPARKLE
- 2.2 Quantum Gates
- 2.3 Grover's Algorithm for Key Search
- 3 Quantum Implementation of SPARKLE
- 3.1 SPARKLE Permutation
- 3.2 SCHWAEMM
- 4 Performance
- 5 Cost Estimation for Grover Key Search
- 6 Conclusion
- References
- Network Security
- Quality-of-Service Degradation in Distributed Instrumentation Systems Through Poisoning of 5G Beamforming Algorithms
- 1 Introduction
- 2 Techniques for Poisoning 5G Beamforming Algorithms
- 3 A Reconfigurable Surface for Poisoning 5G Beamforming Algorithms
- 3.1 Reconfigurable Surface Modeling
- 3.2 Considered Beamforming Algorithms and Proposed Poisoning Algorithm
- 3.3 Physical Implementation and 5G Radio Channel Characteristics
- 4 Experimental Validation: Simulation and Results
- 5 Conclusions and Future Work
- References
- An Effective Approach for Stepping-Stone Intrusion Detection Using Packet Crossover
- 1 Introduction
- 2 Preliminaries
- 2.1 Definitions of Send/Echo Packets
- 2.2 Packet Crossover
- 2.3 The Distribution of Packets' RTTs in a Connection Chain
- 2.4 The Rationale to Detect SSI Based on the Length of a Connection Chain
- 3 Estimate the Length of a Downstream Connection Chain Using Packet Crossover
- 4 Network Experiments and Performance Analysis
- 5 Conclusion
- References
- Software-Defined Network Based Secure Internet-Enabled Video Surveillance System
- 1 Introduction
- 1.1 Problem Background
- 1.2 Contribution of the Paper
- 1.3 Significance of the Study
- 2 Related Literature Review
- 2.1 Application of an IoT-Based System
- 2.2 Security and Prevention Features
- 3 Secure Internet-Enabled Video Surveillance System
- 3.1 Environment Setup
- 3.2 Network Management Tool
- 3.3 DDOS Attack and Mitigation
- 4 Results and Discussion
- 5 Conclusion and Future Works
- References
- TLS Goes Low Cost: When TLS Meets Edge
- 1 Introduction
- 2 Related Works
- 3 TLS-EC (TLS with Edge Computing) Protocol
- 3.1 Our Approach
- 3.2 TLS-EC Protocol
- 4 Security Evaluation
- 5 Performance Evaluation
- 5.1 Discussion
- 6 Conclusion
- References
- 5G-AKA, Revisited
- 1 Introduction
- 1.1 Motivation and Our Contributions
- 2 Preliminaries
- 2.1 Notation
- 2.2 Computational Assumption
- 2.3 Exponential Challenge-Response Signature Schemes
- 3 A Secure AKA Protocol for 5G and Beyond Networks
- 3.1 Initialization
- 3.2 Authentication and Key Agreement
- 4 Security Model
- 5 Security Proof of AKA
- 6 Discussions
- 6.1 UE Anonymity
- 6.2 Forward Secrecy
- 6.3 Explicit Mutual Authentication
- 6.4 UE Unlinkability
- 6.5 Efficiency
- 6.6 Implementation Perspective
- 6.7 Comparison
- References
- Privacy Enhancing Technique
- Membership Privacy for Asynchronous Group Messaging
- 1 Introduction
- 2 Cohn-Gordon et al. SGM Protocol (ART)
- 3 Proposed Protocol
- 4 Conclusion
- References
- On Membership Inference Attacks to Generative Language Models Across Language Domains
- 1 Introduction
- 2 Background of Language Modeling
- 3 Methodology
- 3.1 Threat Model
- 3.2 Text Generation
- 3.3 Membership Inference
- 3.4 Verification
- 4 Evaluation
- 4.1 Environments
- 4.2 Target System
- 4.3 Effectiveness of Membership Inference Across Language Domains
- 4.4 Improving Uniqueness of Inferred Samples
- 5 Discussion
- 6 Related Work
- 7 Conclusion
- References
- A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks
- 1 Introduction
- 2 Background
- 2.1 Distributed Ledger Technology
- 2.2 Federated Learning
- 2.3 Differential Privacy
- 3 Related Work
- 4 Towards Secure Edge Intelligence
- 5 Numerical Results and Discussion
- 6 Conclusion and Future Work
- References
- Vulnerability Analysis
- Recovering Yaw Rate from Signal Injection Attack to Protect RV's Direction
- 1 Introduction
- 2 Related Works
- 2.1 Attack on Gyroscopes
- 2.2 Signal Injection Detection Methods
- 2.3 Recovery Methods
- 3 Background
- 3.1 Resonant Frequencies of MEMS Gyroscopes and Accelerometers
- 3.2 Relation Between Accelerometer X, Y-Axis and Gyroscope Z-Axis
- 4 Attack Model
- 5 Our Method
- 5.1 Dataset Collection
- 5.2 Linear System Identification
- 5.3 Estimation of Gyroscope Z-Axis
- 6 Evaluation
- 6.1 Experiment Setup
- 6.2 Impacts of Acoustic Signal Injection
- 6.3 Yaw Rates Estimation
- 6.4 Recovery of Odometry System
- 7 Conclusion
- References
- A Survey on Sensor False Data Injection Attacks and Countermeasures in Cyber-Physical and Embedded Systems
- 1 Introduction
- 2 Background
- 3 Threat Model
- 4 Sensor False Data Injection (SFDI) Attacks
- 4.1 Message Broadcasting
- 4.2 Inertial Measurement Unit (IMU)
- 4.3 Microphone
- 4.4 Active Sensors
- 4.5 Other Sensors
- 5 Countermeasures
- 5.1 Receiver Layer
- 5.2 Signal Processing Layer
- 5.3 Control Layer
- 6 Research Challenges
- 7 Conclusion
- References
- Dazzle-attack: Anti-Forensic Server-side Attack via Fail-Free Dynamic State Machine
- 1 Introduction
- 2 Motivating Example
- 3 Design
- 3.1 Identifying Input Words via Profiling
- 3.2 Dazzle-attack Creator
- 4 Evaluation
- 4.1 Reliability of Dazzle-attack
- 4.2 Anti-forensic Capability of Dazzle-attack
- 4.3 Comparison with Existing Obfuscators
- 5 Discussion
- 6 Related Work
- 7 Conclusion
- A Appendix
- A.1 Payload types
- References
- vkTracer: Vulnerable Kernel Code Tracing to Generate Profile of Kernel Vulnerability
- 1 Introduction
- 2 Background
- 2.1 Kernel Vulnerability and PoC Code
- 3 Precondition of Environment and Scenario
- 4 Design
- 4.1 Concept
- 4.2 Approach
- 4.3 Profile of Vulnerable Kernel Codes
- 5 Implementation
- 5.1 Profile Generation
- 5.2 Kernel Code Tracing and Virtual Address Range Identification
- 5.3 Termination Condition
- 6 Evaluation
- 6.1 Evaluation Environment
- 6.2 Tracing and Identification Consideration
- 6.3 Performance Measurement
- 7 Discussion
- 7.1 Evaluation Result Consideration
- 7.2 Limitation
- 7.3 Portability
- 8 Related Work
- 8.1 Comparison
- 9 Conclusion
- References
- Security Engineering
- ARMing-Sword: Scabbard on ARM
- 1 Introduction
- 1.1 Contributions
- 1.2 Organization of the Paper
- 2 Backgrounds
- 2.1 Scabbard: A Suite of Post-quantum Key-Encapsulation Mechanisms
- 2.2 Target Processor: Apple M1 Processor
- 2.3 Optimized Implementations of Post-Quantum Cryptography on ARM Processors
- 3 Proposed Techniques
- 3.1 Instruction Set
- 3.2 Evaluation: Direct Mapping
- 3.3 Multiplication: Sliding Window
- 4 Evaluation
- 5 Conclusion
- References
- Optimized Implementation of Quantum Binary Field Multiplication with Toffoli Depth One
- 1 Introduction
- 1.1 Our Contribution
- 2 Background
- 2.1 Binary Field Multiplication
- 2.2 Karatsuba Multiplication
- 2.3 Quantum Gates
- 3 Optimized Implementation of Quantum Binary Field Multiplication
- 3.1 Parallel Quantum Multiplication with the Karatsuba Algorithm
- 3.2 Toffoli Depth Optimization with Recursive Karatsuba Algorithm
- 3.3 Recycling Qubits with Reverse Operation
- 3.4 Optimized Implementation of Quantum Multiplication of T-Depth One
- 3.5 Quantum Modular Reduction
- 4 Performance
- 5 Conclusion
- References
- Time-Optimal Design of Finite Field Arithmetic for SIKE on Cortex-M4
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 SIKE
- 3.2 ARMv7-M Architecture
- 4 Proposed Design for SIKE Field Arithmetic
- 4.1 Notation
- 4.2 Multi-precision Multiplication
- 4.3 Multi-precision Squaring
- 4.4 Multi-precision Reduction
- 4.5 Performance Evaluation
- 5 SIKE Performance Speedup
- 6 Conclusions
- References
- Analysis of Radioactive Decay Based Entropy Generator in the IoT Environments
- 1 Introduction
- 2 Background
- 2.1 Random Number Generator
- 2.2 Quantum Random Number Generator
- 3 Materials and Method
- 3.1 Digital Data Harvesting
- 3.2 Analysis of Pulse Collector for IoT Devices
- 3.3 Methods to Extract Random Bits from Short Pulses
- 4 Result
- 5 Conclusion
- References
- Security Management
- A Novel Metric for Password Security Risk Against Dictionary Attacks
- 1 Introduction
- 1.1 Background and Motivation
- 1.2 Targeted Password Cracking Method
- 2 Previous Works
- 2.1 Entropy
- 2.2 Password Quality Indicator ch21ma2007conceptual
- 2.3 Password Complexity Metric ch21hu2017password
- 3 Proposed Method
- 3.1 Basic Idea
- 3.2 Self-information-Based Metric
- 3.3 Update of Dataset
- 3.4 Threshold Value Based on 3 Rule
- 4 Experimental Results
- 4.1 Preliminary
- 4.2 Comparison with the Previous Methods
- 4.3 Analysis of the Differences in the Datasets Used
- 5 Discussion
- 6 Conclusion
- References
- Towards Evaluating the Security of Human Computable Passwords Using Neural Networks
- 1 Introduction
- 2 Bloki-Blum-Datta-Vempala Model
- 2.1 General Setting
- 2.2 Candidate Functions
- 2.3 Security Evaluation via CSP Solver
- 3 Security Evaluation via Neural Networks
- 3.1 Learning Functions by Neural Networks
- 3.2 Experimental Settings
- 4 Experimental Results
- 4.1 To Learn Function f
- 4.2 To Learn Function f
- 4.3 To Learn Function g
- 5 Analysis
- 6 Conclusion and Future Work
- References
- Markov Decision Process for Automatic Cyber Defense
- 1 Introduction
- 2 Related Work
- 3 The Proposed Approach
- 3.1 Model Initialization Phase
- 3.2 Model Generation Phase
- 3.3 Q-Learning Phase
- 3.4 Conclusion Phase
- 4 Experimental Setup
- 4.1 Results and Analysis
- 4.2 Effect of Q-Learning Parameters on Optimal Reward
- 4.3 Model Efficiency Experiments
- 5 Conclusion and Future Work
- References
- Influence Through Cyber Capacity Building: Network Analysis of Assistance, Cooperation, and Agreements Among ASEAN Plus Three Countries
- 1 Introduction
- 2 Literature Review
- 2.1 Assessing National Cybersecurity Capabilities
- 3 Analysis of Cyber Cooperation and Assistance Activities Framework
- 4 Method
- 5 Findings
- 5.1 Assistance Relationship of Cybersecurity
- 5.2 Cybersecurity Cooperation Relationships
- 5.3 Agreement Relationship of Cybersecurity
- 5.4 Discussion
- 6 Conclusion
- References
- Chameleon DNN Watermarking: Dynamically Public Model Ownership Verification
- 1 Introduction
- 2 Background and Definitions
- 2.1 DNN Watermarking
- 2.2 Definitions of Chameleon DNN Watermarking
- 2.3 Security Requirements
- 3 Chameleon DNN Watermarking
- 3.1 Overview
- 3.2 Algorithm Details
- 4 Security Analysis
- 5 Experimental Evaluation
- 5.1 Evaluation Settings
- 5.2 Maintenance of Functionality
- 5.3 Robust to Removal Attack
- 5.4 Robust to Overwriting Attack
- 6 Conclusion
- References
- Author Index
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