Article
Computer Science, Hardware & Architecture
Zhou Su, Yuntao Wang, Qichao Xu, Ning Zhang
Summary: This article proposes a lightweight vehicular blockchain-enabled secure (LVBS) data sharing framework for UAV-aided IoV in disaster rescue. The framework utilizes the collaboration between UAVs and blockchain to enable data sharing and secure driving in disaster areas. The research shows that this framework improves the security of the consensus phase and promotes high-quality data sharing.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
Summary: With increasing concern about data privacy, federated learning has become a popular research topic for collaborative training of machine learning models under privacy restrictions. This survey provides a comprehensive review of federated learning systems, introducing key system components and analyzing their design. It also presents a categorization of federated learning systems based on six aspects, including data distribution, machine learning model, privacy mechanism, communication architecture, scale of federation, and motivation. The categorization can guide the design of federated learning systems, as demonstrated by the case studies. The survey summarizes existing federated learning systems and offers insights into design factors, case studies, and future research opportunities.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Information Systems
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
Summary: This survey provides a comprehensive review of recent developments in heterogeneous graph embedding methods and techniques. It introduces the basic concepts of heterogeneous graphs and discusses the unique challenges they pose for embedding. The state-of-the-art methods are systematically surveyed and categorized based on the information they use to address these challenges. The paper also explores the real-world applicability of different embedding methods and presents successful systems. Open-source code, graph learning platforms, and benchmark datasets are summarized to facilitate future research and applications in this area.
IEEE TRANSACTIONS ON BIG DATA
(2023)
Article
Computer Science, Information Systems
Qin Liu, Yue Tian, Jie Wu, Tao Peng, Guojun Wang
Summary: The study proposes a Verifiable Dynamic Encryption with Ranked Search (VDERS) scheme that enables top-K searches on cloud computing while ensuring result correctness through verification. It also supports efficient updates and deletions.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Letter
Computer Science, Information Systems
Yu Liu, Xiongbin Chen, Yanfang Mei, Yilin Wu
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Yong Deng
Summary: This paper explores the meaning of the power set in evidence theory and proposes a possible explanation of the power set based on Pascal's triangle and combinatorial number. It introduces a new kind of set called random permutation set (RPS), which consists of permutation event space (PES) and permutation mass function (PMF). The paper also discusses and summarizes the comparisons of probability theory, evidence theory, and RPS, and presents an RPS-based data fusion algorithm, which is applied in threat assessment and proves to effectively handle uncertainty.
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang
Summary: Proposed an interpretable and efficient Heterogeneous Graph Convolutional Network (ie-HGCN) to learn representations of objects in HINs. The network utilizes a hierarchical aggregation architecture, which automatically evaluates all possible meta-paths and exploits the most useful ones for each target object. It also reduces computational complexity by avoiding additional time-consuming pre-processing operations.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Information Systems
Hang Li, Keping Yu, Bin Liu, Chaosheng Feng, Zhiguang Qin, Gautam Srivastava
Summary: The Internet of Health Things (IoHT) refers to uniquely identifiable devices connected to the Internet that can communicate with each other. This concept plays a crucial role in smart health monitoring and improvement systems, with cybersecurity being a top priority. This article proposes a novel access policy expression method and constructs a flexible and efficient encryption scheme to ensure data security in the IoHT.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Computer Science, Information Systems
Iuliu Alexandru Zamfirache, Radu-Emil Precup, Raul-Cristian Roman, Emil M. Petriu
Summary: This study presents a novel reinforcement learning control approach that combines a deep Q-learning algorithm and a gravitational search algorithm to achieve optimal control objectives. Through real-time experiments, the proposed approach is demonstrated to be superior to other competing methods.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Nannan Xi, Juan Chen, Filipe Gama, Marc Riar, Juho Hamari
Summary: This study examines the impact of Augmented Reality (AR) and Virtual Reality (VR) on the difficulty of everyday tasks. Findings from a shopping-related task experiment show that AR significantly affects workload, particularly in terms of mental demand and effort, while VR has no significant effect on any workload dimensions. There is a significant interaction effect between AR and VR on physical demand, effort, and overall workload.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Computer Science, Information Systems
Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Summary: The study introduces a real-time scheduler based on A3C for decentralized learning in Edge-Cloud environments across multiple agents. By utilizing the R2N2 architecture to capture various parameters and temporal patterns, it provides efficient scheduling decisions and selects hyperparameters through sensitivity analysis.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
Summary: This paper addresses the problem of federated learning with distributed and partitioned users. It introduces a new framework called clustered federated learning, which leverages cluster identities and gradient descent for user model parameter optimization. The proposed Iterative Federated Clustering Algorithm (IFCA) guarantees convergence and shows benefits over baselines in various settings, including non-convex problems and ambiguous clustering structures.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Computer Science, Information Systems
Jiewu Leng, Man Zhou, J. Leon Zhao, Yongfeng Huang, Yiyang Bian
Summary: This article introduces the basic principles and security issues of blockchain, pointing out the problem of previous research being too technical and overlooking business and organizational aspects. Through reviewing the research status and proposing future directions, it provides insights for further research and addressing blockchain security issues.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Automation & Control Systems
Fuyuan Xiao
Summary: Recent research has shown a growing interest in fuzzy complex event processing-based decision-making systems, which require well-managed operator distribution. However, dynamic input events bring intrinsic uncertainty, making operator distribution more challenging. The proposed CaFtR strategy utilizes TOpSIS to achieve cost-aware, fault-tolerant, and reliable operator scheduling, demonstrating efficiency through a case study on the StreamBase system.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Jiguo Li, Yichen Zhang, Jianting Ning, Xinyi Huang, Geong Sen Poh, Debang Wang
Summary: This article proposes a CP-ABE scheme for access control of IoT data on the cloud, providing fine-grained and flexible access control and addressing key abuse issues.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Information Systems
Xiaokang Zhou, Xiang Yang, Jianhua Ma, Kevin I-Kai Wang
Summary: This article introduces an intelligent edge computing method based on link correlation, which improves the energy efficiency of wireless IoT infrastructure through network coding and opportunistic routing. The method reduces unnecessary data transmission and achieves more energy-efficient communications.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Dingde Jiang, Feng Wang, Zhihan Lv, Shahid Mumtaz, Saba Al-Rubaye, Antonios Tsourdos, Octavia Dobre
Summary: This article proposes a user-oriented content distribution scheme for satellite-terrestrial networks (STN) to improve content distribution efficiency. The scheme includes algorithms for network division, caching satellite deployment, cache node selection, and content updating mechanism. Simulation results demonstrate that the scheme can reduce propagation delay and network load under different network conditions and has stability and self-adaptability.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Wei Liang, Lijun Xiao, Ke Zhang, Mingdong Tang, Dacheng He, Kuan-Ching Li
Summary: This article proposes a collaborative clustering-characteristic-based data fusion approach for intrusion detection in a Blockchain-based system. By using mathematical and AI models to train and analyze data, it accurately detects abnormal intrusion behavior.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng
Summary: This paper presents a method for crowd flow forecasting in irregular regions by using a multi-view graph convolutional network. The method outperforms other approaches according to extensive experimental results. A crowd flow forecasting system using this method has been developed.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Information Systems
Xiaolong Xu, Haoyuan Li, Weijie Xu, Zhongjian Liu, Liang Yao, Fei Dai
Summary: This article explores the use of artificial intelligence (AI) for optimizing edge services in the Internet of Vehicles (IoV). It begins by introducing the concepts of IoV, edge computing (EC), and AI. It then reviews the edge service frameworks for IoV and examines the application of AI in edge server placement and service offloading. Finally, it discusses several open issues in optimizing edge services with AI.
TSINGHUA SCIENCE AND TECHNOLOGY
(2022)
