Applied Cryptography and Network Security

Name: Applied Cryptography and Network Security | 22nd International Conference, ACNS 2024, Abu Dhabi, United Arab Emirates, March 5-8, 2024, Proceedings, Part II
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22nd International Conference, ACNS 2024, Abu Dhabi, United Arab Emirates, March 5-8, 2024, Proceedings, Part II

Christina Pöpper Lejla Batina(Herausgeber*in)

Springer (Verlag)

Erschienen am 29. Februar 2024

XXIII, 509 Seiten

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Inhalt

Intro
Preface
Organization
Abstracts of Keynote Talks
Applying Machine Learning to Securing Cellular Networks
Real-World Cryptanalysis
CAPTCHAs: What Are They Good For?
Contents - Part II
Post-quantum
Automated Issuance of Post-Quantum Certificates: A New Challenge
1 Introduction
2 Background
2.1 TLS Version 1.3
2.2 ACMEv2 Characteristics
2.3 Post-Quantum Cryptography
3 Quantum Threat and PQC Adoption
3.1 Quantum Threats in ACME
3.2 Integrating PQC Algorithms
3.3 Impacts of PQC in ACME
4 Proposed ACME Challenge
4.1 Design Details
4.2 Issuance and Renewal Timings
4.3 Discussion
5 Final Remarks and Future Work
A ACME's HTTP-01 Challenge
B POST Request Example
References
Algorithmic Views of Vectorized Polynomial Multipliers - NTRU Prime
1 Introduction
1.1 Contributions
1.2 Code
1.3 Structure of This Paper
2 Preliminaries
2.1 Polynomials in NTRU Prime
2.2 Cortex-A72
2.3 Modular Arithmetic
3 Fast Fourier Transforms
3.1 The Chinese Remainder Theorem (CRT) for Polynomial Rings
3.2 Cooley-Tukey FFT
3.3 Bruun-Like FFTs
3.4 Good-Thomas FFTs
3.5 Rader's FFT for Odd Prime p
3.6 Schönhage's and Nussbaumer's FFTs
4 Implementations
4.1 The Needs of Vectorization
4.2 Good-Thomas FFT in ``BigSmall'' Polynomial Multiplications
4.3 Good-Thomas, Schönhage's, and Bruun's FFT
4.4 Good-Thomas, Rader's, and Bruun's FFT
5 Results
5.1 Benchmark Environment
5.2 Performance of Vectorized Polynomial Multiplications
5.3 Performance of Schemes
A Detailed Performance Numbers
References
Efficient Quantum-Safe Distributed PRF and Applications: Playing DiSE in a Quantum World
1 Introduction
1.1 Related Works and Our Contributions
2 Preliminaries and Background
2.1 Notation
2.2 Some Terminologies and Definitions
2.3 Distributed PRF (DPRF)
2.4 (t, T)-Threshold Secret Sharing
3 Our Contribution: Proposed Distributed PRF
3.1 Underlying Quantum-Safe PRF
3.2 Proposed (T, T)-Distributed PRF
3.3 Generalised (t, T)-Threshold PRF
3.4 Choice of Parameters
3.5 Proposed PQDPRF vs. the Lattice-Based DPRF in ch3libert2021adaptively
4 Application
4.1 An Overview of the DiSE Protocol
4.2 Our Improved PQ-DiSE Protocol
5 Experimental Result
6 Conclusion and Future Work
A Generalised (t, T)-Threshold PRF
A.1 Proof of Correctness and Consistency
A.2 Proof of Security
References
On the Untapped Potential of the Quantum FLT-Based Inversion
1 Introduction
1.1 Background
1.2 Our Contribution
2 Preliminaries
2.1 Binary Elliptic Curve Discrete Logarithm Problem
2.2 Quantum Computation in F2n
2.3 Shor's Algorithm for Solving the Binary ECDLP
3 Our Method
3.1 Register-Bounded Addition Chain
3.2 Modified Quantum Point Addition Algorithm
3.3 Depth Reduction of Quantum Multiple Squaring Circuits
3.4 Proposed Inversion Algorithm
4 Comparison
4.1 Our Choice of Register-Bounded Addition Chains
4.2 Quantum Resources Trade-Off in Our Proposed Inversion Algorithm
4.3 Comparison with Previous Methods in Shor's Algorithm
References
Breaking DPA-Protected Kyber via the Pair-Pointwise Multiplication
1 Introduction
1.1 Our Contribution
1.2 State of the Art
2 Notation and Preliminaries
2.1 Kyber
2.2 Number Theoretic Transform (NTT)
2.3 Online Template Attacks
3 Our Attack
3.1 Attack Steps-Extracting the Key via q+q Templates
3.2 Attack on DPA-Protected Kyber
4 Simulations
4.1 Implementation of Pair-Point Multiplication
4.2 Hamming Weight Model
4.3 Simulations of Gaussian Noise
5 Experimental Evidence
5.1 Attack Analysis
6 Possible Countermeasures
A Kyber Algorithms
B Montgomery Reduction
C Details on Noiseless and Noisy Simulations
D Comparison
References
Cryptographic Protocols II
The Key Lattice Framework for Concurrent Group Messaging
1 Introduction
1.1 Related Work
1.2 Technical Overview
2 General Definitions and Notation
3 Key Lattice
3.1 Key Evolution
3.2 The Key Graph
3.3 Instantiation
3.4 Key Lattice as a Key Management Technique
4 Group Key Agreement
5 Group Randomness Messaging
5.1 Instantiation
6 Group Messaging
6.1 Security Definition
6.2 GM from GRM and GKA
6.3 Concrete Costs
6.4 Main Theorem
References
Identity-Based Matchmaking Encryption from Standard Lattice Assumptions
1 Introduction
2 Preliminaries
2.1 Identity-Based Matchmaking Encryption
2.2 Homomorphic Signatures
3 IB-ME: Generic Construction
3.1 IB-ME Achieving Enhanced Privacy
3.2 Achieving Authenticity
3.3 Security Analysis
4 Instantiations from Lattice Assumptions
5 Conclusions
A Reusable Computational Extractors
B Identity-Based Encryption
C Indistinguishable from Random Privacy vs Enhanced Privacy
References
Decentralized Private Stream Aggregation from Lattices
1 Introduction
1.1 Our Contributions
1.2 Related Work
1.3 Organization
2 Preliminaries
2.1 Lattices
2.2 Learning with Errors
2.3 Pseudorandom Functions
3 Decentralized Private Stream Aggregation
3.1 Our Construction
3.2 Aggregator Obliviousness
3.3 Parameters
3.4 Decentralized Setup
3.5 Client Failures
3.6 Optimizing Peer-to-Peer Communication
3.7 Dynamic Join and Leave
4 DPSA in the Standard Model
5 Conclusion
A Private Stream Aggregation
B Games for the Proof of Theorem 1
References
Wireless and Networks
A Security Analysis of WPA3-PK: Implementation and Precomputation Attacks
1 Introduction
2 Background
2.1 Simultaneous Authentication of Equals (SAE)
2.2 WPA3 Public Key (WPA3-PK)
2.3 Generation of the WPA3-PK Password
2.4 Security Guarantees Provided by WPA3-PK
3 Implementation and Network-Based Attacks
3.1 Bad Randomness Leaks the Password
3.2 Network-Based Attacks
4 Precomputation Attacks and Rainbow Tables
4.1 Background on Time-Memory Trade-Off Attacks
4.2 Motivation: SSID Reuse
4.3 Baseline Precomputation Attack Against WPA3-PK
4.4 Improved Analysis of the Baseline Precomputation Attack
4.5 Rainbow Tables for WPA3-PK
4.6 Rainbow Table: Performance Experiments
5 Multi-network Password Collisions
5.1 Constructing Password Collisions
5.2 Public Key Embedding and Trailing Data
5.3 Accepting Trailing Data Inside the Public Key
5.4 Multi-network Password Collisions
6 Defenses and Discussion
6.1 Handling Bad Randomness: Encrypting the Public Key
6.2 Preventing Network-Layer Attacks
6.3 Mitigating Time-Memory Trade-Off Attacks
6.4 Preventing Password Collisions: Committing to an SSID Length
7 Related Work
8 Conclusion
References
When and How to Aggregate Message Authentication Codes on Lossy Channels?
1 Introduction
2 MAC Aggregation on Lossy Channels
2.1 Message Authentication Codes
2.2 MAC Aggregation to Combat Bandwidth Scarcity
2.3 Introducing Existing MAC Aggregation Schemes
2.4 Interplay of Lossy Channels and MAC Aggregation
3 Synthetic Measurements
3.1 Simulation Setup
3.2 Influence of Channel Quality on Goodput
3.3 Influence of Payload Length on Goodput
3.4 Optimal Packet Lengths for Authenticated Data
4 MAC Aggregation in Real-World Scenarios
4.1 Description of the Scenarios
4.2 Evaluating MAC Aggregation in Realistic Scenarios
5 Beyond Goodput as Evaluation Metric
5.1 Average Delay Until Authentication
5.2 Performance and Memory Overhead
5.3 Resilience to Adversarial Interference
6 Guidelines on Employing MAC Aggregation
6.1 When to Use MAC Aggregation on Lossy Channels?
6.2 How to Employ MAC Aggregation on Lossy Channels?
6.3 Selecting an MAC Aggregation Scheme
7 Conclusion
References
DoSat: A DDoS Attack on the Vulnerable Time-Varying Topology of LEO Satellite Networks
1 Introduction
2 Background and Related Work
2.1 LEO Satellite Network
2.2 Denial-of-Service Attack
2.3 LSN Simulation
3 DoSat Attack
3.1 Threat Model
3.2 Feasibility Analysis
3.3 DoSat Overview
3.4 Attack Mechanism
4 Simulation and Evaluation
4.1 Simulation Setup
4.2 Network Setup
4.3 Evaluation Metrics
4.4 Results
5 Mitigations
6 Conclusion
References
DDoSMiner: An Automated Framework for DDoS Attack Characterization and Vulnerability Mining
1 Introduction
2 Background and Related Work
2.1 TCP-Based DDoS Attacks
2.2 DDoS Mining/Exploit Schemes
2.3 Exploration TCP Stack with Symbolic Execution
3 Threat Model and Problem Definition
3.1 Threat Model
3.2 Problem Definition
4 Workflow of DDoSMiner
4.1 Generation of Attack Call Flow Graph
4.2 Selective Symbolic Execution
5 Evaluation
5.1 Experiment Configuration
5.2 Attack Call Flow Graph Analysis
5.3 Symbol Execution Experiment Setup
5.4 Symbolic Execution Results
5.5 Evasion Evaluation Against IDS
6 Conclusion
7 Limitations and Future Work
A Visualization and Analysis of System Calls
B The Kernel Address Corresponding to the Full Drop Nodes for Six Categories of Attacks
References
Privacy and Homomorphic Encryption
Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption
1 Introduction
2 Background
2.1 Fully Homomorphic Encryption
2.2 Batch Packing
2.3 Convolutional Layers
2.4 Lock-Free Multi-threaded Convolution
3 Related Work
4 Our Proposed Approach
4.1 Modeling the Problem as a Schedule
4.2 Executing a Schedule
4.3 Cost of a Schedule
4.4 Threat Model
5 Reduced Memory Schedules
5.1 Caching by Object Type
5.2 Full Window Caching
5.3 Partial Window Caching
5.4 Column-Wise Caching
6 Experimental Evaluation
6.1 Memory Estimate
6.2 Measurements
7 Conclusion
References
SNARKProbe: An Automated Security Analysis Framework for zkSNARK Implementations
1 Introduction
2 Background and Related Work
2.1 Prior Work
3 Overview
3.1 Users and Use Cases
3.2 Workflow
4 Design and Implementation
4.1 Constraint Checker
4.2 SnarkFuzzer
5 Performance Evaluation
5.1 Performance of the Constraint Checker
5.2 Performance of SnarkFuzzer
6 Error Catching Evaluation
6.1 Potentially Locatable in Current Libraries
6.2 Found in Current Libraries
6.3 Found in Previous Versions of Libraries
7 Conclusion
A Additional Information for Constraint Checker
A.1 An optimization for the SMT solver
A.2 Protocol of the Constraint Checker by the SMT Solver
A.3 Example Constraint Checker
A.4 Domain Gap Issues
B Additional Information for SnarkFuzzer
B.1 Example Ideal Model Files
B.2 PrettyPrint Example
C Equations comparison_gadget Represents
References
Privacy-Preserving Verifiable CNNs
1 Introduction
1.1 Related Works
2 Preliminaries
3 Collaborative Bulletproofs
3.1 Extended Arithmetic Black-Box
3.2 Our Construction
3.3 Secure Realization
4 Privacy-Preserving Verifiable CNNs
4.1 Formal Definition
4.2 Construction
4.3 Security
5 Implementation and Comparison
5.1 Implementation of Collaborative Zk-SNARK
5.2 Performance Estimate for Proof System for CNN
5.3 Comparison
References
A General Framework of Homomorphic Encryption for Multiple Parties with Non-interactive Key-Aggregation
1 Introduction
1.1 Our Contributions
1.2 Technical Overview
1.3 Related Work
2 Background
2.1 Notation
2.2 Ring Learning with Errors
2.3 Gadget Decomposition and External Product
3 Formalizing Multi-group Homomorphic Encryption
3.1 Definition
3.2 Relations with MPHE and MKHE
4 MGHE Construction
4.1 Key Generation
4.2 Encryption and Decryption
4.3 Arithmetic Operations
4.4 Automorphism
4.5 Security
5 Constructing MPC from MGHE
5.1 Overview
5.2 MPC Protocol Secure Against Semi-malicious Corruptions
6 Experimental Results
A Construction of MGHE with CKKS
A.1 MGHE with CKKS
B Noise Analysis
B.1 Encryption
B.2 Relinearization
B.3 Multiplication
References
Symmetric Crypto
Masked Iterate-Fork-Iterate: A New Design Paradigm for Tweakable Expanding Pseudorandom Function
1 Introduction
1.1 Contributions
2 Preliminaries
2.1 General Notation
2.2 The H Coefficients and 2 Proof Techniques
2.3 Security Notions
3 Masked Iterate-Fork-Iterate and ButterKnife
3.1 Masked Iterate-Fork-Iterate
3.2 Specification of ButterKnife
4 Security Analysis of ButterKnife
4.1 Differential Distinguishers
4.2 Linear Trails
4.3 Meet-in-the-Middle Attacks
4.4 Impossible Differentials and Zero-Correlation
4.5 Amplified Boomerang Distinguishers
5 DAE for TPRFs: Security and Performance
5.1 The SAFE Mode of Operation
5.2 The ZAFE Mode of Operation
5.3 Implementation Aspects
6 Conclusion
A Details on ButterKnife
A.1 Additional Aspects
B Graphical Representation of SAFE
C ZMAC Pseudocode
References
Generalized Initialization of the Duplex Construction
1 Introduction
2 Preliminaries
2.1 Distinguisher
2.2 Multicollision Limit Function
3 Duplex Construction and Security
3.1 Construction
3.2 Security Model
3.3 Parameterization of Distinguishers
3.4 Security of Baseline Case
3.5 Role of Initialization Vector
4 Improvements Under Specific IV Generation
4.1 Globally Unique IV
4.2 Random IV
4.3 Quasi-Random IV
4.4 IV on Key
4.5 Globally Unique IV on Key
5 Stream Encryption
5.1 Construction and Security Model
5.2 Security Under Different Initializations
6 Authenticated Encryption
6.1 Construction and Security Model
6.2 Security Under Different Initializations
7 Practical Implications
7.1 Baseline
7.2 Globally Unique IV
7.3 Random IV
7.4 Quasi-Random IV
7.5 IV on Key
7.6 Globally Unique IV on Key
8 Conclusion
References
Alternative Key Schedules for the AES
1 Introduction
2 Background
2.1 Description of the AES
2.2 AES Differential Characteristics
2.3 Mixed Integer Linear Programming
3 Permutation-Based Key Schedules for the AES
3.1 Analyzing the Results of ch19wrongpaper
4 A Cycle-Decomposition Approach to Search for Good Key Schedules
4.1 Description of the Method
5 Double-MILP Model for Permutations
6 Results
6.1 Results for AES-128
6.2 Results for AES-192 and AES-256
7 Conclusion and Open Problems
References
Author Index

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