
Security, Privacy, and Anonymity in Computation, Communication, and Storage
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The 30 full papers were carefully reviewed and selected from 88 submissions.
The papers cover many dimensions including security algorithms and architectures, privacy-aware policies, regulations and techniques, anonymous computation and communication, encompassing fundamental theoretical approaches, practical experimental projects, and commercial application systems for computation, communication and storage.
SpaCCS 2020 is held jointly with the 11th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2020), the 10th International Symposium on Trust, Security and Privacy for Emerging Applications (TSP 2020), the 9th International Symposium on Security and Privacy on Internet of Things (SPIoT 2020), the 6th International Symposium on Sensor-Cloud Systems (SCS 2020), the 2nd International Workshop on Communication, Computing, Informatics and Security (CCIS 2020), the First International Workshop on Intelligence and Security in Next Generation Networks (ISNGN 2020), the First International Symposium on Emerging Information Security and Applications (EISA 2020).
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Content
- Intro
- Preface
- SpaCCS 2020 Organizing and Program Committees
- Contents
- Privacy-Preserving and Scalable Data Access Control Based on Self-sovereign Identity Management in Large-Scale Cloud Storage
- 1 Introduction
- 2 Related Work
- 2.1 Our Motivation
- 2.2 Our Contributions
- 3 System Model and Security Model
- 3.1 System Model
- 4 The Proposed Scheme
- 4.1 System Setup
- 4.2 Data Outsourcing Storage
- 4.3 Anonymous Key Generation
- 4.4 Anonymous Data Access
- 4.5 Anonymous Attribute Revocation
- 5 Security Analysis
- 5.1 Security Analysis
- 6 Performance Analysis
- 6.1 Encryption and the Local Decryption of User
- 6.2 Attribute Secret Key Generation
- 6.3 Security Against Compromising AAs
- 7 Conclusion
- References
- Attention Mechanism Based Adversarial Attack Against Deep Reinforcement Learning
- 1 Introduction
- 2 Related Network
- 2.1 Deep Reinforcement Learning (DRL)
- 2.2 Attack on DRL
- 2.3 Defense of DRL
- 3 Preliminaries
- 3.1 The Basic Model of RL
- 3.2 Attention Mechanism
- 3.3 DRL Feature Transformation
- 4 Adversarial Attack Based on Attention Mechanism
- 4.1 General Introduction to Attack
- 4.2 Attack Method Description
- 5 Experimental Evaluation
- 5.1 Experimental Description
- 5.2 Experimental Results
- 5.3 Experimental Visualization Results
- 6 Conclusion
- References
- Attribute-Based Searchable Encryption Scheme with Fuzzy Keywords
- 1 Introduction
- 2 Related Works
- 2.1 Searchable Encryption
- 2.2 Attribute-Based Encryption
- 2.3 Fuzzy Multi-keyword Query
- 3 Scheme Formalization and Security Model
- 3.1 Concepts of the Scheme Formalization
- 3.2 Security Model
- 3.3 Goals of the Scheme
- 4 Preliminaries
- 4.1 Explanation of Main Symbols
- 4.2 Bilinear Map
- 4.3 Difficult Problems in Cryptography
- 4.4 Fuzzy Set Construction
- 4.5 Access Tree Construction
- 4.6 Secure KNN Encryption Method
- 5 Attribute-Based Searchable Encryption Scheme with Fuzzy Keywords
- 6 Security Analysis
- 6.1 The Correctness and Security of Indexing and Searching Trapdoors
- 6.2 Ciphertext Indistinguishability
- 7 Performance Analysis
- 7.1 Efficiency Analysis
- 7.2 Experiment Evaluation
- 8 Conclusion
- References
- Improving Deep Neural Network Robustness with Siamese Empowered Adversarial Training
- 1 Introduction
- 2 Background and Related Works
- 2.1 Adversarial Attacks
- 2.2 Defenses to Adversarial Examples
- 3 Methodology
- 3.1 Siamese Network and Contrastive Loss
- 3.2 Siamese Adversarial Training
- 4 Evaluation
- 4.1 Settings
- 4.2 Performance Under White-Box Attacks
- 4.3 Performance Under Black-Box Attacks
- 4.4 Generalization to More Powerful PGD Attack
- 4.5 Effect of Different Data Partition Ratio
- 4.6 Effect of Different Network Architectures
- 4.7 Effect of Different Distance Functions
- 4.8 Comparison with Triplet Adversarial Training
- 5 Conclusion
- References
- Predicting Advanced Persistent Threats for IoT Systems Based on Federated Learning
- 1 Introduction
- 2 Related Work
- 3 APT Prediction for IoT System
- 3.1 System Architecture
- 3.2 Threat Model and Assumptions
- 4 APTPMFL Design
- 4.1 Federated Learning Approach
- 4.2 APT Attack Prediction
- 5 Experimental Evaluation of APTPMFL
- 6 Conclusion
- References
- DFspliter: Data Flow Oriented Program Partitioning Against Data Stitching Attacks
- 1 Introduction
- 2 Related Work
- 3 System Design
- 3.1 Motivation Example
- 3.2 Design of PDG
- 3.3 Partitioning Method
- 4 Implementation
- 4.1 Implementation of PDG
- 4.2 Implementation of Partitioning
- 5 Evaluation
- 5.1 Validation of DFspliter
- 5.2 Performance Overhead
- 6 Conclusion
- References
- Revisiting Attacks and Defenses in Connected and Autonomous Vehicles
- 1 Introduction
- 2 Background
- 2.1 In-Vehicle Networks
- 2.2 Vehicle-to-X Communication (V2X)
- 2.3 Autonomous Algorithms
- 3 Attack Surface for CAVs
- 3.1 Attacks Against In-Vehicle Systems
- 3.2 Attacks Against V2X Communication
- 3.3 Adversarial Attacks Against Autonomous Algorithms
- 4 Survey of Technical Defense
- 4.1 Defensive Approaches for In-Vehicle Systems
- 4.2 V2X Security Defense
- 4.3 Defensive Measures for Autonomous Algorithms
- 5 Discussion
- 6 Conclusion
- References
- An Improved Cryptanalysis Algorithm for Chebyshev Map-Based Discrete Logarithm Problem
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 Chebyshev Chaotic Maps
- 3.2 Periodical Properties of Chebyshev Map on Finite Fields
- 4 An Improved Cryptoanalysis Scheme for Chebyshev Discrete Logarithm Problem
- 4.1 Cryptanalysis Algorithm for CMDL Problem
- 4.2 Auxiliary Algorithms
- 5 Computational Results
- 5.1 An Example
- 5.2 Distribution of Chebyshev Prime Number
- 6 Conclusion
- References
- Reinforcement-Learning Based Network Intrusion Detection with Human Interaction in the Loop
- 1 Introduction
- 2 Related Work
- 3 Detection Mechanism
- 3.1 Building MDP
- 3.2 Interactive Feedback
- 3.3 Details of DDQN Algorithm
- 3.4 Structure of the Q-Network
- 4 Experiments and Evaluation
- 4.1 Experimental Environment
- 4.2 Dataset
- 4.3 Simulation of Human Interaction
- 4.4 Results Analysis
- 5 Conclusion
- References
- Research on Security of Access Control for Cloud Computing Environment
- 1 Introduction
- 2 Basic Principles of Access Control Model
- 2.1 Traditional Access Control Technology
- 2.2 Access Control Model Language
- 2.3 Technical Means of Access Control Model
- 3 Access Control Model and Technology in Cloud Computing Environment
- 3.1 Improvement of Traditional Access Control Model
- 3.2 Access Control Based on ABE Cryptosystem
- 3.3 Access Control Based on Risk Perception and Trust Mechanism
- 4 Comparison and Prospect of Cloud Computing Access Control Model
- 4.1 Cloud Computing Access Control Model Comparison
- 4.2 Cloud Computing Access Control Future Development Direction
- 5 Conclusion
- References
- Research and Development of Privacy Protection of WSN Routing Protocol
- 1 Introduction
- 2 Classification and Strategy of Privacy Protection in WSN Routing Protocol
- 3 Typical Privacy Protection Methods in WSN Routing Protocol
- 3.1 Military Field
- 3.2 Environment Field
- 3.3 Medical Field
- 3.4 Transportation Field
- 4 Analysis and Comparison of Privacy Protection Scheme in WSN Routing Protocol
- 5 Summary and Outlook
- References
- Apply Quantum Search to the Safety Check for Mono Operational Attribute Based Protection Systems
- 1 Introduction
- 2 Attribute Based Protection System
- 3 ABPS Safety Check
- 4 Quantum Search Algorithm for ABPS Safety Check
- 5 Performance of Safety Check Quantum Algorithm
- 6 Conclusion
- References
- A Semi-supervised Intrusion Detection Algorithm Based on Auto-encoder
- 1 Introduction
- 2 Related Work
- 3 Semi-supervised Intrusion Detection Algorithm Based on Auto-encoder
- 3.1 Intrusion Algorithm Structure Design
- 3.2 Algorithm Description
- 4 Experimental Results and Analysis
- 4.1 Data Set
- 4.2 Data Processing
- 4.3 The Process of Experimental Results and Analysis
- 5 Conclusion
- References
- Research on Arm TrustZone and Understanding the Security Vulnerability in Its Cache Architecture
- 1 Introduction
- 2 Security Isolation Technology
- 3 Detailed Explanation of TrustZone Technology
- 3.1 Overview
- 3.2 Security Extension of TrustZone Architecture [8, 9]
- 3.3 Secure Boot
- 3.4 Application of TrustZone Technology in Mobile Terminal
- 3.5 Variants of TrustZone Technology
- 4 The Security Vulnerability in TrustZone Cache Architecture
- 4.1 Memory Hierarchy of TrustZone
- 4.2 Introduction to Cache Side-Channel Attack
- 4.3 Cache Basics [15]
- 4.4 Cache-Attack Technology
- 4.5 Cases of Cache Attacks on TrustZone
- 5 Conclusions
- References
- Scrutinizing Trust and Transparency in Cash on Delivery Systems
- 1 Introduction
- 2 Background
- 2.1 Smart Contract Based on Blockchain
- 2.2 Ethereum and Hyperledger
- 2.3 Hyperledger Composer
- 2.4 Hyperledger Caliper
- 2.5 Hyperledger Composer and Ethereum
- 3 Related Work
- 4 System Architecture
- 4.1 General Design
- 4.2 Scenarios
- 4.3 Procedures
- 4.4 Algorithms
- 5 Experiments
- 6 Conclusion
- References
- Expansion Adaptation of Attack-Aware Controller-Link-Switch Cost Minimization Placement in Software-Defined Networking
- 1 Introduction
- 2 Related Works
- 3 Attack-Aware Recovery and Expansion Backup Controller Cost Minimization Placement Algorithm (AREC)
- 3.1 Description
- 3.2 Notation
- 3.3 Formulation of AREC
- 3.4 Algorithm
- 4 Simulation Result and Analysis
- 5 Conclusion
- References
- A Weighted Federated Averaging Framework to Reduce the Negative Influence from the Dishonest Users
- 1 Introduction
- 2 Related Work
- 3 Algorithm Design
- 3.1 Background: Federated Averaging
- 3.2 Overview: Self-weighted Federated Averaging
- 3.3 The Grading System Designing
- 4 Experiments
- 4.1 Data Source
- 4.2 Experiments Setup
- 4.3 Experiments Results
- 5 Conclusion
- References
- I Can Think Like You! Towards Reaction Spoofing Attack on Brainwave-Based Authentication
- 1 Introduction
- 2 Related Work
- 2.1 Brainwave and User Authentication
- 2.2 Brainwave-Based Authentication
- 2.3 Screen Unlock Mechanism
- 3 Brainwave-Based Unlock Mechanism and Our Identified Attack
- 3.1 Brainwave-Based Unlock Scheme
- 3.2 Our Identified Attack
- 4 Evaluation
- 4.1 Environmental Settings
- 4.2 Study Results
- 4.3 Discussion
- 5 Conclusion
- References
- Cubic Permutation Polynomials-Based Block RLNC Algorithm in Wireless Networks
- 1 Introduction
- 2 Related Works
- 3 Quadratic Permutation Polynomials
- 3.1 Permutation Polynomial (PP)
- 3.2 Cubic Permutation Polynomial (CPP)
- 4 Packet Encoding/Decoding Block Mechanism
- 4.1 Packet Block Mechanism
- 4.2 Block RLNC Encoding Mechanism
- 4.3 Block RLNC Decoding Approach
- 5 Simulation Experiments
- 5.1 Simulation Scenario
- 5.2 Simulation Resultss
- 6 Conclusion
- References
- A Lightweight Blockchain-Based Trust Model for Smart Vehicles in VANETs
- 1 Introduction
- 2 Related Work
- 3 Drawbacks and Security Issues
- 4 Our Proposed Trust Model
- 4.1 Phase 1: Trust Evaluation
- 4.2 Phase 2: Decision Engine
- 5 Evaluations and Discussions
- 5.1 Discussion
- 5.2 Performance Analysis
- 6 Conclusion
- References
- Light Intensity Based IoT Device Positioning for Indoor Monitoring
- 1 Introduction
- 2 The Architecture of Proposed Monitoring System
- 3 Light Intensity Localization
- 3.1 Feature Extractions
- 3.2 Data Interpolation
- 3.3 Device Localization
- 4 Experiment Verifications
- 5 Conclusion
- References
- A Blockchain-Based Reconstruction Framework for UAV Network
- 1 Introduction
- 2 Related Work
- 3 Blockchain-Based Adaptive Reconstruction Framework
- 4 Data Recovery and Update Approach in UAV Network
- 5 Reconstruction Approach of Communication Link in UAV Network Based on Blockchain
- 6 Analysis and Conclusion
- References
- A New Certificateless Aggregate Signature Scheme for Wireless Sensor Networks
- 1 Introduction
- 1.1 Related Works
- 1.2 Our Research Contribution
- 1.3 Organization of the Article
- 2 Background
- 2.1 Network Model
- 2.2 Elliptic Curve Discrete Logarithm Problem (ECDLP)
- 2.3 Security Model
- 3 The Proposed Scheme
- 3.1 The Proposed CLAS Scheme
- 3.2 Correctness of the CLAS Scheme
- 4 Security Analysis
- 4.1 Security Proof
- 4.2 Other Security Requirements
- 5 Performance Analysis
- 6 Conclusion
- References
- Blockchain and IoT Based Textile Manufacturing Traceability System in Industry 4.0
- 1 Introduction
- 2 Review of Literature
- 2.1 Industry 4.0
- 2.2 Traceability
- 2.3 Blockchain and IoT
- 3 Proposed Traceability System for Textile Industry
- 3.1 Structure and Processes of Textile Manufacturing Industry
- 3.2 Algorithms for Proposed System
- 4 Conclusion
- References
- A Network Security Situational Awareness Framework Based on Situation Fusion
- 1 Introduction
- 2 Related Works
- 3 Proposed Network Security Situational Awareness Framework
- 3.1 Host Weight Calculation
- 3.2 Host Security Situation
- 3.3 Network Attack Situation
- 3.4 Network Security Situation
- 4 Case Analysis
- 4.1 Data Set
- 4.2 Experimental Results and Analysis
- 5 Conclusion
- References
- Intelligent Medical Security Framework of Body Area Network Based on Fog Computing
- 1 Introduction
- 2 Intelligent Medical Service Framework of Wireless Body Area Network
- 2.1 Body Area Network Intelligent Medical Terminal
- 2.2 Security Framework Based on Fog Computing
- 3 Encrypted Transmission Scheme Between Layers
- 3.1 Preliminaries
- 3.2 Encrypted Transmission Scheme
- 4 Safety Analysis
- 4.1 Correctness Verification
- 4.2 Forged Sender
- 4.3 MITM Attacks
- 5 Conclusion
- References
- Secure and Traceable Attribute-Based Sequential Aggregate Signature
- 1 Introduction
- 2 Preliminaries
- 2.1 Bilinear Maps
- 2.2 Complexity Assumption
- 2.3 Boneh-Goh-Nissim Commitment Scheme
- 2.4 NIZK Proof of Bit Encryption
- 3 Definition and Security Models
- 3.1 Participants
- 3.2 System Model
- 3.3 Existential Unforgeability of the Scheme
- 3.4 Unlinkability of the Scheme
- 4 Our Construction
- 4.1 Correctness
- 4.2 Security Proof
- 5 Comparison and Discussion
- 6 Conclusion
- References
- Social Spammer Detection Based on PSO-CatBoost
- 1 Introduction
- 2 Related Work
- 3 Spammer Detection Based on PSO-Catboost
- 3.1 CatBoost Model
- 3.2 Particle Swarm Optimization
- 3.3 PSO-CatBoost Model
- 4 Experiment and Analysis of Results
- 4.1 Data Collection and Preprocessing
- 4.2 Comparative Experiments and Results
- 5 Conclusion
- References
- Software Developer Recommendation in Terms of Reducing Bug Tossing Length
- 1 Introduction
- 2 Related Work
- 3 Proposed Methodology
- 4 Results and Discussion
- 5 Thread to Validity
- 6 Conclusion
- References
- A Methodology to Automate the Security Patterns Selection
- 1 Introduction
- 2 Related Work
- 3 Analysis of Security Patterns
- 4 Proposed Methodology
- 4.1 Preprocessing
- 4.2 Security Pattern Classification and Class Determination
- 4.3 Security Pattern Selection
- 5 Evaluation Criteria
- 5.1 Performance Measures
- 5.2 Security Design Pattern Collection
- 5.3 Design Problems
- 6 Results and Discussion
- 7 Conclusion and Future Work
- References
- Author Index
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