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Table of Contents
Blockchain Systems
StateSnap: A State-Memorized P2P Storage Network for Blockchain NFT Content Data
Towards Requester-Provider Bilateral Utility Maximization and Collision Resistance in Blockchain-based Microgrid Energy Trading
Evaluating the Parallel Execution Schemes of Smart Contract Transactions in Different Blockchains: An Empirical Study
Misbehavior Detection in VANET Based on Federated Learning and Blockchain
Data Science
ABE-AC4DDS: An Access Control Scheme based on Attribute-Based Encryption for Data Distribution Service
An Interactive Visual System for Data Analytics of Social Media
Auto-Recon: an Automated Network Reconnaissance System Based on Knowledge Graph
INGCF: An Improved Recommendation Algorithm Based on NGCF
Distributed and Network-based Computing
AutoFlow: Hotspot-Aware, Dynamic Load Balancing for Distributed Stream Processing
BMTP: Combining Backward Matching with Tree-based Pruning for Large-scale Content-based Pub/Sub Systems
AF-TCP: Traffic Congestion Prediction at Arbitrary Road Segment and Flexible Future Time
Collaborative QoS Prediction via Context-Aware Factorization Machine
TDCT: Target-Driven Concolic Testing Using Extended Units by Calculating Function Relevance
Multi-Task Allocation Based on Edge Interaction Assistance in Mobile Crowdsensing
A Variable-way Address Translation Cache for the Exascale Supercomputer
PPCTS: Performance Prediction-based Co-located Task Scheduling in Clouds
Edge Computing and Edge Intelligence
Risk-Aware Optimization of Distribution-based Resilient Task Assignment in Edge Computing
Budget-aware Scheduling for Hyperparameter Optimization Process in Cloud Environment
Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center
Soft Actor-Critic-Based DAG Tasks Offloading in Multi-Access Edge Computing with Inter-User Cooperation
Service Dependability and Security Algorithms
Sensor Data Normalization among Heterogeneous Smartphones for Implicit Authentication
Privacy-Preserving and Reliable Federated Learning
Security Authentication of Smart Grid Based on RFF
SEPoW: Secure and Efficient Proof of Work Sidechains
A Spectral Clustering Algorithm Based on Differential Privacy Preservation
A Compact Secret Image Sharing Scheme Based on Flexible Secret Matrix Sharing Scheme
Robust Multi-Model Personalized Federated Learning via Model Distillation
V-EPTD: A Verifiable and Efficient Scheme for Privacy-preserving Truth Discovery
FedSP: Federated Speaker Verification with Personal Privacy Preservation
Security Performance Analysis for Cellular Mobile Communication System with Randomly-Located Eavesdroppers
Short and Distort: A New Manipulation as Opposed to Pump and Dump in the Cryptocurrency Market
Privacy-preserving Swarm learning Based on Homomorphic Encryption
Software Systems and Efficient Algorithms
A modeling and verification method of Modbus TCP / IP protocol
Completely Independent Spanning Trees in the Line Graphs of Torus Networks
Adjusting OBSS/PD based on fuzzy logic to improve throughput of IEEE 802.11ax network
Two-Stage Evolutionary Algorithm Using Clustering for Multimodal Multi-Objective Optimization with Imbalance Convergence and Diversity
SLA: A Cache Algorithm for SSD-SMR Storage System with Minimum RMWs
Trajectory Similarity Search with Multi-level Semantics
Nonnegative Matrix Factorization Framework For disease-related CircRNA prediction
A Fast Authentication and Key Agreement Protocol Based on Time-sensitive Token for Mobile Edge Computing
Ferproof: A Constant Cost Range Proof Suitable for Floating-Point Numbers
NEPG: Partitioning Large-Scale Power-Law Graphs
Accelerating DCNNs via Cooperative Weight/Activation Compression
PFA: performance and fairness-aware LLC partitioning method
SGP: A Parallel Computing Framework for Supporting Distributed Structural Graph Clustering
LIDUSA
A Learned Index Structure for Dynamical Uneven Spatial Data
Why is Your Trojan NOT Responding? A Quantitative Analysis of Failures in Backdoor Attacks of Neural Networks
OptCL: A Middleware to Optimise Performance for High Performance Domain-Specific Languages on Heterogeneous Platforms.
StateSnap: A State-Memorized P2P Storage Network for Blockchain NFT Content Data
Towards Requester-Provider Bilateral Utility Maximization and Collision Resistance in Blockchain-based Microgrid Energy Trading
Evaluating the Parallel Execution Schemes of Smart Contract Transactions in Different Blockchains: An Empirical Study
Misbehavior Detection in VANET Based on Federated Learning and Blockchain
Data Science
ABE-AC4DDS: An Access Control Scheme based on Attribute-Based Encryption for Data Distribution Service
An Interactive Visual System for Data Analytics of Social Media
Auto-Recon: an Automated Network Reconnaissance System Based on Knowledge Graph
INGCF: An Improved Recommendation Algorithm Based on NGCF
Distributed and Network-based Computing
AutoFlow: Hotspot-Aware, Dynamic Load Balancing for Distributed Stream Processing
BMTP: Combining Backward Matching with Tree-based Pruning for Large-scale Content-based Pub/Sub Systems
AF-TCP: Traffic Congestion Prediction at Arbitrary Road Segment and Flexible Future Time
Collaborative QoS Prediction via Context-Aware Factorization Machine
TDCT: Target-Driven Concolic Testing Using Extended Units by Calculating Function Relevance
Multi-Task Allocation Based on Edge Interaction Assistance in Mobile Crowdsensing
A Variable-way Address Translation Cache for the Exascale Supercomputer
PPCTS: Performance Prediction-based Co-located Task Scheduling in Clouds
Edge Computing and Edge Intelligence
Risk-Aware Optimization of Distribution-based Resilient Task Assignment in Edge Computing
Budget-aware Scheduling for Hyperparameter Optimization Process in Cloud Environment
Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center
Soft Actor-Critic-Based DAG Tasks Offloading in Multi-Access Edge Computing with Inter-User Cooperation
Service Dependability and Security Algorithms
Sensor Data Normalization among Heterogeneous Smartphones for Implicit Authentication
Privacy-Preserving and Reliable Federated Learning
Security Authentication of Smart Grid Based on RFF
SEPoW: Secure and Efficient Proof of Work Sidechains
A Spectral Clustering Algorithm Based on Differential Privacy Preservation
A Compact Secret Image Sharing Scheme Based on Flexible Secret Matrix Sharing Scheme
Robust Multi-Model Personalized Federated Learning via Model Distillation
V-EPTD: A Verifiable and Efficient Scheme for Privacy-preserving Truth Discovery
FedSP: Federated Speaker Verification with Personal Privacy Preservation
Security Performance Analysis for Cellular Mobile Communication System with Randomly-Located Eavesdroppers
Short and Distort: A New Manipulation as Opposed to Pump and Dump in the Cryptocurrency Market
Privacy-preserving Swarm learning Based on Homomorphic Encryption
Software Systems and Efficient Algorithms
A modeling and verification method of Modbus TCP / IP protocol
Completely Independent Spanning Trees in the Line Graphs of Torus Networks
Adjusting OBSS/PD based on fuzzy logic to improve throughput of IEEE 802.11ax network
Two-Stage Evolutionary Algorithm Using Clustering for Multimodal Multi-Objective Optimization with Imbalance Convergence and Diversity
SLA: A Cache Algorithm for SSD-SMR Storage System with Minimum RMWs
Trajectory Similarity Search with Multi-level Semantics
Nonnegative Matrix Factorization Framework For disease-related CircRNA prediction
A Fast Authentication and Key Agreement Protocol Based on Time-sensitive Token for Mobile Edge Computing
Ferproof: A Constant Cost Range Proof Suitable for Floating-Point Numbers
NEPG: Partitioning Large-Scale Power-Law Graphs
Accelerating DCNNs via Cooperative Weight/Activation Compression
PFA: performance and fairness-aware LLC partitioning method
SGP: A Parallel Computing Framework for Supporting Distributed Structural Graph Clustering
LIDUSA
A Learned Index Structure for Dynamical Uneven Spatial Data
Why is Your Trojan NOT Responding? A Quantitative Analysis of Failures in Backdoor Attacks of Neural Networks
OptCL: A Middleware to Optimise Performance for High Performance Domain-Specific Languages on Heterogeneous Platforms.