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Mitigating Backdoor Attacks in Pre-trained Encoders via Self-supervised Knowledge Distillation IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-07-01 Rongfang Bie, Jinxiu Jiang, Hongcheng Xie, Yu Guo, Yinbin Miao, Xiaohua Jia
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Web Service Recommendation via Combining Topic-aware Heterogeneous Graph Representation and Interactive Semantic Enhancement IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-06-24 Buqing Cao, Qian Peng, Xiang Xie, Zhenlian Peng, Jianxun Liu, Zibin Zheng
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Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-06-24 Die Wang, Yunjian Jia, Liang Liang, Kaoru Ota, Mianxiong Dong
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Swift and Accurate Mobility-Aware QoS Forecasting for Mobile Edge Environments IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-06-21 Huiying Jin, Pengcheng Zhang, Hai Dong, Athman Bouguettaya, Albert Y. Zomaya
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EDCOMA: Enabling Efficient Double Compressed Auditing for Blockchain-Based Decentralized Storage IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-06-21 Haiyang Yu, Yurun Chen, Zhen Yang, Yuwen Chen, Shui Yu
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Graph Neural Network Aided Deep Reinforcement Learning for Microservice Deployment in Cooperative Edge Computing IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-06-21 Shuangwu Chen, Qifeng Yuan, Jiangming Li, Huasen He, Sen Li, Xiaofeng Jiang, Jian Yang
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SEHGN: Semantic-Enhanced Heterogeneous Graph Network for Web API Recommendation IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-06-21 Xuanye Wang, Meng Xi, Ying Li, Xiaohua Pan, Yangyang Wu, Shuiguang Deng, Jianwei Yin
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Anomaly detection service for blockchain transactions using minimal substitution-based label propagation IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-30 Ranran Wang, Yin Zhang, Limei Peng
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Detecting Inconsistencies in Microservice-Based Systems: An Annotation-Assisted Scenario-Oriented Approach IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-30 Chang-Ai Sun, Yufei Gong, Meng Li, Luo Xu, Jun Han, Yanbo Han
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Cognition Guided Video Anomaly Detection Framework for Surveillance Services IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-30 Menghao Zhang, Jingyu Wang, Qi Qi, Zirui Zhuang, Haifeng Sun, Jianxin Liao
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VRCCS-AC: Reinforcement Learning for Service Migration in Vehicular Edge Computing Systems IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-30 Zhen Gao, Lei Yang, Yu Dai
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Server-Assisted Data Sharing System Supporting Conjunctive Keyword Search for Vehicular Social Networks IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-30 Hang Liu, Yang Ming, Chenhao Wang, Yi Zhao, Songnian Zhang, Rongxing Lu
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Cross-view Graph Alignment for Mashup Recommendation IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-30 Chunyu Wei, Yushun Fan, Zhixuan Jia, Jia Zhang
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A Privacy-preserving Authenticated Key Agreement Scheme based on Physically Unclonable Functions for Multi-server Architecture IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-22 Tian-Fu Lee, I-Pin Chang, Wei-Jie Huang
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Practical Blockchain-based Options Contract IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-22 Zhao Zhang, Chunxiang Xu, Changsong Jiang
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Weighted Adversarial Learning from Crowds IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-22 Ziqi Chen, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
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A Socialized Learning-Based Scheduling Framework in Intricate Edge Clouds IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-20 Yunfeng Zhao, Ziwei Wang, Chao Qiu, Qiang He, Dusit Niyato, Xin Wang, Xiaofei Wang, Qinghua Hu
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Task Decomposition and Hierarchical Scheduling for Collaborative Cloud-Edge-End Computing IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-17 Jun Cai, Wei Liu, Zhongwei Huang, Fei Richard Yu
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Diagnosing Performance Issues for Large-Scale Microservice Systems With Heterogeneous Graph IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-17 Lei Tao, Xianglin Lu, Shenglin Zhang, Jiaqi Luan, Yingke Li, Mingjie Li, Zeyan Li, Qingyang Yu, Hucheng Xie, Ruijie Xu, Chenyuan Hu, Canqun Yang, Dan Pei
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T-Watch: Towards Timed Execution of Private Transaction in Blockchains IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-17 Chao Li, Balaji Palanisamy
In blockchains such as Bitcoin and Ethereum, transactions represent the primary mechanism that the external world can use to trigger a change of blockchain state. Timed transaction refers to a specific class of service that enables a user to schedule a transaction to change the blockchain state during a chosen future time-frame. This paper proposes $\mathsf{T-Watch}$ , a decentralized and cost-efficient
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Efficient and Privacy-Enhanced Federated Learning Based on Parameter Degradation IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Wenling Li, Ping Yu, Yanan Cheng, Jianen Yan, Zhaoxin Zhang
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An Efficient Algorithm for Microservice Placement in Cloud-Edge Collaborative Computing Environment IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Xiang He, Hanchuan Xu, Xiaofei Xu, Yin Chen, Zhongjie Wang
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Loss Aware Federated Learning for Service Migration in Multimodal E-Health Services IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Himanshu Singh, Ajay Pratap, Ram Narayan Yadav, Debasis Das
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PPNNI: Privacy-Preserving Neural Network Inference against Adversarial Example Attack IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Guanghui He, Yanli Ren, Gang He, Guorui Feng, Xinpeng Zhang
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Communication-Efficient Federated Learning with Adaptive Aggregation for Heterogeneous Client-Edge-Cloud Network IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Long Luo, Chi Zhang, Hongfang Yu, Gang Sun, Shouxi Luo, Schahram Dustdar
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Long-Term Proof-of-Contribution: an Incentivized Consensus Algorithm for Blockchain-enabled Federated Learning IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Longxiang Gao
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MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, Huachao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong
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Cross-Edge Orchestration of Serverless Functions with Probabilistic Caching IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-10 Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang
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Multi-objective evolutionary search for optimal Robotic Process Automation architectures IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-02 Geeta Mahala, Renuka Sindhgatta, Hoa Khanh Dam, Aditya Ghose
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2D-SAZD: A Novel 2D Coded Distributed Computing Framework for Matrix-Matrix Multiplication IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-02 Mingjun Dai, Zelong Zhang, Ziying Zheng, Zhonghao Zhang, Xiaohui Lin, Hui Wang
By separating huge dimensional matrix-matrix multiplication at a single computing node into parallel small matrix multiplications (with appropriate encoding) at parallel worker nodes, coded distributed computing (CDC) tackles the straggler problem and hence speeds up the computation significantly. Existing CDC encoding schemes are based on linear combination (LC), which have two drawbacks: First, heavy
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Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-01 Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu
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Resource-aware Cyber Deception for Microservice-based Applications IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-01 Marco Zambianco, Claudio Facchinetti, Roberto Doriguzzi-Corin, Domenico Siracusa
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AISM: An Adaptable Image Steganography Model with User Customization IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-05-01 Bobiao Guo, Ping Ping, Siqi Zhou, Olano Teah Bloh, Feng Xu, Xiaofeng Zhou
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Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-29 Zaixing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, Mengjie Zhang
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SiaDFP: A Disk Failure Prediction Framework Based on Siamese Neural Network in Large-Scale Data Center IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-29 Xiaoyu Fang, Wenbai Guan, Jiawen Li, Chenhan Cao, Bin Xia
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ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-29 Wei Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Jiaqi Zhao, Zhe Liu, Hui Li
With the rapid growth of Internet data volumes, Big Data analysis technologies have gradually permeated all aspects of life. However, the existence of data silos and the promulgation of relevant regulations make it challenging to apply these technologies. In this context, federated learning provides a feasible solution. Especially, XGBoost schemes for vertical federated learning have attracted much
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Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-29 Hanshuai Cui, Zhiqing Tang, Jiong Lou, Weijia Jia, Wei Zhao
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Trusted Sharing of Computing Power Resources: Benefit-Driven Heterogeneous Network Service Provision Mechanism IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-29 Meiling Dai, Shaoyong Guo, Song Guo, Sujie Shao, Xuesong Qiu
The advancement of information and telecommunication technology has resulted in lots of computing power service providers (CSPs) sharing resources. This effectively improves the utilization of computing resources and provides opportunities for users to find best network services. However, with the increase of similar or identical services, traditional service provision mechanisms become more complicated
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Ethereum Transaction Replay Platform Based on State-wise Account Input Data IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-17 Yuan Huang, Rong Wang, Xiangping Chen, Changlin Yang, Zibin Zheng
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A Monitoring-Free Bitcoin Payment Channel Scheme With Support for Real-Time Settlement IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-17 Yankai Xie, Ruian Li, Yan Huang, Chi Zhang, Lingbo Wei, Yani Sun
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A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-12 Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
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Multi-Attribute Auction-Based Grouped Federated Learning IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-12 Renhao Lu, Hongwei Yang, Yan Wang, Hui He, Qiong Li, Xiaoxiong Zhong, Weizhe Zhang
Federated Learning empowers data owners to collectively train an artificial intelligence model without exposing data. However, the heterogeneous resources and the self-interested users bring new challenges hindering the development of federated learning. To this end, we propose a Multi-attribute Auction-based Grouped Federated Learning scheme, called MAGFL, comprising a grouped federated learning framework
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RCME: A Reputation Incentive Committee Consensus-Based for Matchmaking Encryption in IoT Healthcare IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-11 Ningbin Yang, Chunming Tang, Zehui Xiong, Debiao He
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Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-08 Youyang Qu, Shui Yu, Longxiang Gao, Keshav Sood, Yong Xiang
The booming of learning-based Artificial Intelligence (AI) enables the integration of Big Data and emerging computing architectures, which facilitate the Edge-AI-as-a-Service (EAaaS) in the edge-cloud continuum. To meet the emerging demands, such as privacy preservation and autonomy, blockchain-enabled federated learning (B-FL) is proposed, which further provides decentralized processing, data falsification
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CouldPin-Fast: Effient and Effective Root Cause Localization for Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-08 Shize Zhang, Yunfeng Zhao, Jianyuan Lu, Shuai Yang, Biao Lyu, Shunmin Zhu, Enhuan Dong, Zhiliang Wang, Jiahai Yang
As cloud services become increasingly widespread, many public cloud tenants opt for Shared Bandwidth Package (sBwp) services for inbound/outbound communication. The sBwp service allows tenants to purchase shared bandwidth for multiple virtual machines (VMs) instead of buying it individually, which is a convenient and cost-effective traffic management mode. However, the sBwp service presents new challenges
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C-KHCS: Multi-Objective Workflow Scheduling using Chaotic Krill Herd Optimization and Improved Cuckoo Search in Fog Computing IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-01 Shahin Nazemi, Reihaneh Khorsand
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Data-Submission Control of Web Service-Based Multi-Agent System IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-04-01 Chen Hou
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Enabling Privacy-Preserving $K$K-Hop Reachability Query Over Encrypted Graphs IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-28 Yunjiao Song, Xinrui Ge, Jia Yu, Rong Hao, Ming Yang
$K$ -hop Reachability Query (KRQ) is one of fundamental graph queries, which can answer whether a node $u$ can reach a node $v$ within $K$ hops. With the scale of graph data increasing, data owner desires to outsource the local graphs to cloud server. To protect the graph privacy, data owner encrypts graphs before outsourcing them to the cloud server. It imposes a great challenge to KRQ over encrypted
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Privacy Preserving Based on Seamless Authentication With Provable Key Verification Using mIoMT for B5G-Enabled Healthcare Systems IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-28 B D Deebak, Seong Oun Hwang
B5G-enabled healthcare systems interconnect a wide range of Internet of Medical Things (IoMT) using supportive networks such as heterogeneous networks and cognitive radio networks to enhance the medical infrastructure. In healthcare, IoMT integrates access technologies, computing infrastructure, and services to connect healthcare systems to handle intensive computation without sharing private data
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Blockchain-based Efficient and Trustworthy AIGC Services in Metaverse IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-28 Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Zibin Zheng
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Encoder-Decoder Based Route Generation Model for Flexible Travel Recommendation IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-26 Jiale Zhang, Mingqian Ma, Xiaofeng Gao, Guihai Chen
Travel route recommendation is an important part of electronic tour guides and map applications. It aims to recommend a sequence of points of interest (POIs) to users based on their interests. The variety of users’ historical records and their requirements makes the problem challenging and most existing works fail to satisfy these two aspects at the same time. In this article, we propose an encoder-decoder-based
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Leader Federated Learning Optimization Using Deep Reinforcement Learning for Distributed Satellite Edge Intelligence IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-26 Hangyu Zhang, Hongbo Zhao, Rongke Liu, Xiangqiang Gao, Shenzhan Xu
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Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-25 Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen
Popularity bias is a common phenomenon in the user-item interaction, which means a user interacts with the items just because of the items’ popularity, but the user does not actually interest in these items. Neglecting popularity bias in recommendation systems can result in favoring popular items over personal preferences. This article proposes a new recommendation framework for enhancing the D is
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A Joint Learning Recommendation Model for E-Commerce Platforms Integrating Long-Term and Short-Term Interests IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-21 Yunpeng Xiao, Wanjing Zhao, Yuyang Huang, Tun Li, Qian Li
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Publicly Verifiable Secure Multi-Party Computation Framework Based on Bulletin Board IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-21 Xiaotong Li, Hao Wang, Zhi Li, Lei Wu, Xiaochao Wei, Ye Su, Rongxing Lu
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Efficient and Privacy-Preserving Federated Learning against Poisoning Adversaries IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-20 Jiaqi Zhao, Hui Zhu, Fengwei Wang, Yandong Zheng, Rongxing Lu, Hui Li
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SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things with Edge Computing IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-19 Kai Peng, Peiyun Xiao, Shangguang Wang, Victor C.M. Leung
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RT3C: Real-Time Crowd Counting in Multi-Scene Video Streams via Cloud-Edge-Device Collaboration IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-18 Rui Wang, Yixue Hao, Yiming Miao, Long Hu, Min Chen
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EPSet: Efficient and Privacy-Preserving Set Similarity Range Query Over Encrypted Data IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-18 Yandong Zheng, Rongxing Lu, Yunguo Guan, Songnian Zhang, Jun Shao, Fengwei Wang, Hui Zhu
Set similarity query is a fundamental query type in various applications, such as clinical diagnosis, online shopping, and mobile crowdsensing. Meanwhile, as the prevalence of outsourced query services, privacy-preserving set similarity query has been considerablely studied. However, to the best of our knowledge, most previously reported solutions suffer from applicability, efficiency, or security
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Optimizing Resource Allocation for Wireless VR Services IEEE Trans. Serv. Comput. (IF 5.5) Pub Date : 2024-03-18 Chih-Hang Wang, Yishuo Shi, De-Nian Yang, Chih-Yen Chen, Wanjiun Liao