{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T01:45:25Z","timestamp":1773193525204,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T00:00:00Z","timestamp":1630540800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T00:00:00Z","timestamp":1630540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702318"],"award-info":[{"award-number":["61702318"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007421","name":"Li Ka Shing Foundation","doi-asserted-by":"publisher","award":["2020LKSFG08D"],"award-info":[{"award-number":["2020LKSFG08D"]}],"id":[{"id":"10.13039\/100007421","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shantou 330 University Scientic Research Start-up Fund Project","award":["NTF18024"],"award-info":[{"award-number":["NTF18024"]}]},{"name":"Guangdong province 331 special fund for science and technology","award":["2019ST043"],"award-info":[{"award-number":["2019ST043"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10586-021-03399-w","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T22:45:42Z","timestamp":1630709142000},"page":"2515-2526","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Privacy preserving personalized blockchain reliability prediction via federated learning in IoT environments"],"prefix":"10.1007","volume":"25","author":[{"given":"Jianlong","family":"Xu","sequence":"first","affiliation":[]},{"given":"Jian","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Liang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1381-4364","authenticated-orcid":false,"given":"Kuan-Ching","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,2]]},"reference":[{"key":"3399_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-021-03260-0","author":"W Liang","year":"2021","unstructured":"Liang, W., Ji, N.: Privacy challenges of IoT-based blockchain: a systematic review. Clust. Comput. (2021). https:\/\/doi.org\/10.1007\/s10586-021-03260-0","journal-title":"Clust. Comput."},{"key":"3399_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3053842","author":"W Liang","year":"2021","unstructured":"Liang, W., Xiao, L., Zhang, K., Tang, M., He, L., Li, K.: Data fusion approach for collaborative anomaly intrusion detection in blockchain-based systems. IEEE Internet Things J. (2021). https:\/\/doi.org\/10.1109\/JIOT.2021.3053842","journal-title":"IEEE Internet Things J."},{"key":"3399_CR3","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.future.2018.05.046","volume":"88","author":"A Reyna","year":"2018","unstructured":"Reyna, A., Mart\u00edn, C., Chen, J., Soler, E., D\u00edaz, M.: On blockchain and its integration with IoT. Challenges and opportunities. Future Gener. Comput. Syst. 88, 173\u2013190 (2018). https:\/\/doi.org\/10.1016\/j.future.2018.05.046","journal-title":"Future Gener. Comput. Syst."},{"key":"3399_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2020.2993032","author":"W Liang","year":"2020","unstructured":"Liang, W., Zhang, D., Lei, X., Tang, M., Li, K., Zomaya, A.: Circuit copyright blockchain: blockchain-based homomorphic encryption for IP circuit protection. IEEE Trans. Emerg. Top. Comput. (2020). https:\/\/doi.org\/10.1109\/TETC.2020.2993032","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"3399_CR5","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/OJCS.2020.2993259","volume":"1","author":"Q Wu","year":"2020","unstructured":"Wu, Q., He, K., Chen, X.: Personalized federated learning for intelligent IoT applications: a cloud-edge based framework. IEEE Open J. Comput. Soc. 1, 35\u201344 (2020). https:\/\/doi.org\/10.1109\/OJCS.2020.2993259","journal-title":"IEEE Open J. Comput. Soc."},{"key":"3399_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57959-7","volume-title":"The eu general data protection regulation (gdpr). A practical guide","author":"P Voigt","year":"2017","unstructured":"Voigt, P., Bussche, A.: The eu general data protection regulation (gdpr). A practical guide, 1st edn. Springer, Cham (2017)","edition":"1"},{"issue":"15","key":"3399_CR7","doi-asserted-by":"publisher","first-page":"1486","DOI":"10.1056\/NEJMlim035027","volume":"348","author":"G Annas","year":"2003","unstructured":"Annas, G., et al.: Hipaa regulations-a new era of medical-record privacy? N. Engl. J. Med. 348(15), 1486\u20131490 (2003)","journal-title":"N. Engl. J. Med."},{"issue":"1","key":"3399_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/844357.844360","volume":"4","author":"S Ran","year":"2003","unstructured":"Ran, S.: A model for web services discovery with QoS. ACM Sigecom Exch. 4(1), 1\u201310 (2003). https:\/\/doi.org\/10.1145\/844357.844360","journal-title":"ACM Sigecom Exch."},{"key":"3399_CR9","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3077738","author":"W Liang","year":"2021","unstructured":"Liang, W., Li, Y., Xu, J., Qin, Z., Li, K.-C.: QoS prediction and adversarial attack protection for distributed services under DLaaS. IEEE Trans. Comput. (2021). https:\/\/doi.org\/10.1109\/TC.2021.3077738","journal-title":"IEEE Trans. Comput."},{"issue":"5","key":"3399_CR10","doi-asserted-by":"publisher","first-page":"4532","DOI":"10.1109\/JIOT.2019.2956827","volume":"7","author":"H Gao","year":"2020","unstructured":"Gao, H., Xu, Y., Yin, Y., Zhang, W., Li, R., Wang, X.: Context-aware QoS prediction with neural collaborative filtering for internet-of-things services. IEEE Internet Things J. 7(5), 4532\u20134542 (2020). https:\/\/doi.org\/10.1109\/JIOT.2019.2956827","journal-title":"IEEE Internet Things J."},{"issue":"5","key":"3399_CR11","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","volume":"2","author":"K Hornik","year":"1989","unstructured":"Hornik, K., Stinchcombe, M., White, H.: Multilayer feedforward networks are universal approximators. Neural Netw. 2(5), 359\u2013366 (1989)","journal-title":"Neural Netw."},{"key":"3399_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2859986","author":"H Wu","year":"2018","unstructured":"Wu, H., Zhang, Z., Luo, J., Yue, K., Hsu, C.: Multiple Attributes QoS prediction via deep neural model with contexts. IEEE Trans. Serv. Comput. (2018). https:\/\/doi.org\/10.1109\/TSC.2018.2859986","journal-title":"IEEE Trans. Serv. Comput."},{"key":"3399_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.06.020","author":"H Wu","year":"2018","unstructured":"Wu, H., Yue, K., Li, B., Zhang, B., Hsu, C.: Collaborative QoS prediction with context-sensitive matrix factorization. Future Gener. Comput. Syst. (2018). https:\/\/doi.org\/10.1016\/j.future.2017.06.020","journal-title":"Future Gener. Comput. Syst."},{"key":"3399_CR14","doi-asserted-by":"publisher","unstructured":"Li, J., Wang, J., Sun, Q., Zhou, A.: Temporal influences-aware collaborative filtering for QoS-based service recommendation. In: 2017 IEEE International Conference on\nServices Computing (SCC), pp. 471\u2013474. IEEE (2017). https:\/\/doi.org\/10.1109\/SCC.2017.67","DOI":"10.1109\/SCC.2017.67"},{"issue":"9","key":"3399_CR15","doi-asserted-by":"publisher","first-page":"2059","DOI":"10.3390\/s17092059","volume":"17","author":"Y Yin","year":"2017","unstructured":"Yin, Y., Yu, F., Xu, Y., Yu, L., Mu, J.: Network location-aware service recommendation with random walk in cyber-physical systems. Sensors 17(9), 2059 (2017). https:\/\/doi.org\/10.3390\/s17092059","journal-title":"Sensors"},{"key":"3399_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.05.024","author":"Q Zhou","year":"2019","unstructured":"Zhou, Q., Wu, H., Yue, K., Hsu, C.: Spatio-temporal context-aware collaborative QoS prediction. Future Gener. Comput. Syst. (2019). https:\/\/doi.org\/10.1016\/j.future.2019.05.024","journal-title":"Future Gener. Comput. Syst."},{"key":"3399_CR17","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.3041626","author":"RR Chowdhury","year":"2020","unstructured":"Chowdhury, R.R., Chattopadhyay, S., Adak, C.: CAHPHF: context-aware hierarchical QoS prediction with hybrid filtering. IEEE Trans. Serv. Comput. (2020). https:\/\/doi.org\/10.1109\/TSC.2020.3041626","journal-title":"IEEE Trans. Serv. Comput."},{"key":"3399_CR18","doi-asserted-by":"publisher","unstructured":"Xiong, W., Wu, Z., Li, B., Gu, Q.: A learning approach to QoS prediction via multi-dimensional context. In: 2017\nIEEE international conference on web services (ICWS),\npp. 164\u2013171. IEEE (2017). https:\/\/doi.org\/10.1109\/ICWS.2017.29","DOI":"10.1109\/ICWS.2017.29"},{"key":"3399_CR19","doi-asserted-by":"publisher","first-page":"2929","DOI":"10.1007\/s13369-019-04218-6","volume":"45","author":"R Nagarajan","year":"2020","unstructured":"Nagarajan, R., Thirunavukarasu, R.: A service context-aware QoS prediction and recommendation of cloud infrastructure services. Arab. J. Sci. Eng. 45, 2929\u20132943 (2020). https:\/\/doi.org\/10.1007\/s13369-019-04218-6","journal-title":"Arab. J. Sci. Eng."},{"key":"3399_CR20","doi-asserted-by":"publisher","unstructured":"Liu, Z., Sheng, Q., Zhang, W., Chu, D., Xu, : X.: Context-aware multi-QoS prediction for services in mobile edge computing. In: 2019 IEEE international conference on services computing (SCC), pp. 72\u201379. IEEE (2019). https:\/\/doi.org\/10.1109\/SCC.2019.00024","DOI":"10.1109\/SCC.2019.00024"},{"key":"3399_CR21","unstructured":"Nguy\u00ean, T.T, Xiao, X., Yang, Y., Hui, S., Shin, H., Shin, J.: Collecting and analyzing data from smart device users with local differential privacy. Preprint at arXiv:1606.05053 (2016)"},{"key":"3399_CR22","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2839587","author":"S Badsha","year":"2018","unstructured":"Badsha, S., et al.: Privacy preserving location-aware personalized web service recommendations. IEEE Trans. Serv. Comput. (2018). https:\/\/doi.org\/10.1109\/TSC.2018.2839587","journal-title":"IEEE Trans. Serv. Comput."},{"key":"3399_CR23","doi-asserted-by":"publisher","first-page":"56647","DOI":"10.1109\/ACCESS.2018.2871447","volume":"6","author":"S Badsha","year":"2018","unstructured":"Badsha, S., Yi, X., Khalil, I., Liu, D., Nepal, S., Lam, K.: Privacy preserving user based web service recommendations. IEEEIEEE Access 6, 56647\u201356657 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2871447","journal-title":"IEEEIEEE Access"},{"issue":"6","key":"3399_CR24","doi-asserted-by":"publisher","first-page":"4159","DOI":"10.1109\/TII.2020.3012157","volume":"17","author":"L Qi","year":"2021","unstructured":"Qi, L., et al.: Privacy-aware data fusion and prediction with spatial-temporal context for smart city industrial environment. IEEE Trans Ind. Inform. 17(6), 4159\u20134167 (2021). https:\/\/doi.org\/10.1109\/TII.2020.3012157","journal-title":"IEEE Trans Ind. Inform."},{"key":"3399_CR25","doi-asserted-by":"publisher","DOI":"10.1002\/CPE.5681","author":"X Chi","year":"2020","unstructured":"Chi, X., Yan, C., Wang, H., Rafique, W., Qi, L.: Amplified LSH-based recommender systems with privacy protection. Pract. Exp. Concurr. Comput. (2020). https:\/\/doi.org\/10.1002\/CPE.5681","journal-title":"Pract. Exp. Concurr. Comput."},{"key":"3399_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.08.014","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Pan, J., Qi, L., He, Q.: Privacy-preserving quality prediction for edge-based IoT services. Future Gener. Comput. Syst. (2021). https:\/\/doi.org\/10.1016\/j.future.2020.08.014","journal-title":"Future Gener. Comput. Syst."},{"key":"3399_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-63579-8_16","volume-title":"Web and big data. APWeb-WAIM 2017. Lecture notes in computer science","author":"S Liu","year":"2017","unstructured":"Liu, S., et al.: Privacy-preserving collaborative web services QoS prediction via differential privacy. In: Chen, L., Jensen, C., Shahabi, C., Yang, X., Lian, X. (eds.) Web and big data. APWeb-WAIM 2017. Lecture notes in computer science, vol. 10366. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-63579-8_16"},{"key":"3399_CR28","unstructured":"Zheng, P., Zheng, Z., Chen, L.: Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction, arXiv preprint arXiv:1910.14614 (2019)"},{"key":"3399_CR29","volume-title":"Blockchain and trustworthy systems. BlockSys 2020. Communications in computer and information science","author":"J Xu","year":"2020","unstructured":"Xu, J., Zhuang, Z., Wang, K., Liang, W.: High-accuracy reliability prediction approach for blockchain services under BaaS. In: Zheng, Z., Dai, H.N., Fu, X., Chen, B. (eds.) Blockchain and trustworthy systems. BlockSys 2020. Communications in computer and information science, vol. 1267. Springer, Singapore (2020)"},{"key":"3399_CR30","doi-asserted-by":"publisher","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.: Neural Collaborative Filtering. In: Proceedings of the 26th international conference on world wide web (WWW \u201917). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, pp. 173\u2013182. https:\/\/doi.org\/10.1145\/3038912.3052569","DOI":"10.1145\/3038912.3052569"},{"key":"3399_CR31","doi-asserted-by":"publisher","unstructured":"Sun, T., Shao, Y., Li, X., Liu, P., Yan, H., Qiu, X., & Huang, X.: (2020). Learning sparse sharing architectures for multiple tasks. Proc AAAI Conf Artif Intell. 34(05), 8936\u20138943 (2020). https:\/\/doi.org\/10.1609\/aaai.v34i05.6424","DOI":"10.1609\/aaai.v34i05.6424"},{"key":"3399_CR32","doi-asserted-by":"crossref","unstructured":"Shao, L., Zhang, J., Wei, Y., Zhao, J., Xie, B., Mei, H.: Personalized QoS prediction for web services via collaborative filtering. In: Proceedings of the IEEE international conference\non web services (ICWS), pp. 439\u2013446. IEEE (2007)","DOI":"10.1109\/ICWS.2007.140"},{"key":"3399_CR33","doi-asserted-by":"crossref","unstructured":"Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Item-basedcollaborative filtering recommendation algorithms. In: Proceedings of the10th international world wide web conference (WWW), pp. 285\u2013295 (2001)","DOI":"10.1145\/371920.372071"},{"issue":"2","key":"3399_CR34","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1109\/TSC.2010.52","volume":"4","author":"Z Zheng","year":"2011","unstructured":"Zheng, Z., Ma, H., Lyu, M.R., King, I.: QoS-aware web service recommendation by collaborative filtering. IEEE Trans. Serv. Comput. 4(2), 140\u2013152 (2011)","journal-title":"IEEE Trans. Serv. Comput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03399-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-021-03399-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03399-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T11:25:51Z","timestamp":1657797951000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-021-03399-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,2]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["3399"],"URL":"https:\/\/doi.org\/10.1007\/s10586-021-03399-w","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,2]]},"assertion":[{"value":"31 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}