Pub Date : 2025-12-25DOI: 10.1109/tsc.2025.3648444
Zihan Huang, Tong Li, Yong Li
{"title":"SMAUG: Semantic-Enhanced Mobile App Usage Data Generation With LLM","authors":"Zihan Huang, Tong Li, Yong Li","doi":"10.1109/tsc.2025.3648444","DOIUrl":"https://doi.org/10.1109/tsc.2025.3648444","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"48 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145829974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AC-BaaS: An Asynchronous Cross-Blockchain as a Service for the Internet of Things","authors":"Lingxiao Yang, Xuewen Dong, Zhiguo Wan, Sheng Gao, Wei Tong, Yong Yu, Yulong Shen","doi":"10.1109/tsc.2025.3647639","DOIUrl":"https://doi.org/10.1109/tsc.2025.3647639","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"363 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145823139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-23DOI: 10.1109/tsc.2025.3647522
Fan Yang, Zhengyang Huang, Zimo Wen, Lvyang Ye, Yanan Qiao
{"title":"Blockchain-Empowered AI for Fintech Services Computing: A Verifiable Framework for Transparent and Sustainable Credit Risk Assessment","authors":"Fan Yang, Zhengyang Huang, Zimo Wen, Lvyang Ye, Yanan Qiao","doi":"10.1109/tsc.2025.3647522","DOIUrl":"https://doi.org/10.1109/tsc.2025.3647522","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"17 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145813211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-23DOI: 10.1109/TSC.2025.3647667
Sheng Zhu;Xuege Han;Yiqian Zhao;Jinting Wang
The escalating security risks in hybrid cloud environments present a critical bottleneck to broader adoption. This study proposes an innovative risk management strategy to maximize provider revenue. By modeling the cloud service architecture as a queueing system, where user requests are “customers” and resources are “servers”, we quantitatively analyze user decision-making under dynamic risk perceptions. Integrating queueing game theory with a Stackelberg framework, we systematically model the customer trade-off between service efficiency and security assurance. Our analysis reveals Nash equilibrium patterns under diverse data breach liability allocations, deriving an optimized provider risk-control model. This strategy guides market behavior through policy optimization to achieve risk-revenue equilibrium. The work advances theoretical foundations for hybrid cloud risk mitigation and provides actionable strategies for cloud providers.
{"title":"Balancing Service Efficiency and Data Security in Hybrid Cloud Systems: A Queueing Game Approach","authors":"Sheng Zhu;Xuege Han;Yiqian Zhao;Jinting Wang","doi":"10.1109/TSC.2025.3647667","DOIUrl":"10.1109/TSC.2025.3647667","url":null,"abstract":"The escalating security risks in hybrid cloud environments present a critical bottleneck to broader adoption. This study proposes an innovative risk management strategy to maximize provider revenue. By modeling the cloud service architecture as a queueing system, where user requests are “customers” and resources are “servers”, we quantitatively analyze user decision-making under dynamic risk perceptions. Integrating queueing game theory with a Stackelberg framework, we systematically model the customer trade-off between service efficiency and security assurance. Our analysis reveals Nash equilibrium patterns under diverse data breach liability allocations, deriving an optimized provider risk-control model. This strategy guides market behavior through policy optimization to achieve risk-revenue equilibrium. The work advances theoretical foundations for hybrid cloud risk mitigation and provides actionable strategies for cloud providers.","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"19 1","pages":"826-832"},"PeriodicalIF":5.8,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145813212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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