{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T14:42:20Z","timestamp":1770475340913,"version":"3.49.0"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The innovative trends of cloud computing acquired the interest of several individuals or enterprises that started outsourcing data to the cloud servers. Recently, numerous techniques are introduced for facilitating privacy protection on untrusted cloud platforms. However, the classical privacy-preserving techniques failed to prevent leakage and incur huge information loss. This paper introduces the efficient technique, named the chronological sailfish optimizer (CSFO) algorithm for privacy preservation in cloud computing. The proposed CSFO is devised by integrating the chronological concept in SailFish optimizer. The input data are fed to a privacy-preservation process wherein hamming weight-based RSA and Khatri-Rao products are utilized for data privacy. Here, the hamming weighted-based RSA is determined by combining the sha256 algorithm with the hamming weight with Rivest\u2013Shamir\u2013Adleman (HRSA) system. Hence, an optimization-driven algorithm is utilized to evaluate optimal matrix generation to handle both the utility and the sensitive information. Here, the fitness function is newly devised considering, realism, privacy and fitness. The experimentation is performed using four datasets, like Pathway Interaction Database, Hungarian, Cleveland and Switzerland. The proposed CSFO provided superior performance with maximal privacy of 0.2173, maximal realism 0.9456 and maximal fitness of 0.5416.<\/jats:p>","DOI":"10.1093\/comjnl\/bxab147","type":"journal-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T19:12:26Z","timestamp":1632251546000},"page":"101-113","source":"Crossref","is-referenced-by-count":8,"title":["Chronological Sailfish Optimizer for Preserving Privacy in Cloud Based on Khatri-Rao Product"],"prefix":"10.1093","volume":"66","author":[{"given":"Parsi","family":"Kalpana","sequence":"first","affiliation":[{"name":"Department of Computer Science , , Begumpet, Hyderabad, Telangana 500016, India"},{"name":"St. Francis College for Women , , Begumpet, Hyderabad, Telangana 500016, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,10,13]]},"reference":[{"key":"2023011814191407100_ref1","volume-title":"To Develop an Efficient Privacy Preserving Algorithm for Preserving the Privacy of the Cloud User\u2019s","author":"Mittal","year":"2020"},{"key":"2023011814191407100_ref2","doi-asserted-by":"crossref","first-page":"1577","DOI":"10.1093\/comjnl\/bxy067","article-title":"Efficient privacy-preserving data sanitization over cloud using optimal GSA algorithm","volume":"61","author":"Renuga","year":"2018","journal-title":"Comput. J."},{"key":"2023011814191407100_ref3","first-page":"1288","volume-title":"IEEE Trans. Inf. Forensics Secur.","author":"Zhang","year":"2020"},{"key":"2023011814191407100_ref4","first-page":"1","article-title":"Job Sceduling in cloud environment using lion algorithm","volume":"2","author":"Angelin Deepa","year":"2019","journal-title":"J. Networking Commun. Syst."},{"key":"2023011814191407100_ref5","first-page":"312","article-title":"Towards practical privacy-preserving frequent Itemset mining on supermarket transactions","author":"Qiu","year":"2020"},{"key":"2023011814191407100_ref6","article-title":"Economic dispatch problem in power system using hybrid particle swarm optimization and enhanced Bat optimization algorithm","volume":"3","author":"Roy","year":"2020","journal-title":"J. Comput. Mech., Power Syst. Control"},{"key":"2023011814191407100_ref7","doi-asserted-by":"crossref","first-page":"4895","DOI":"10.1109\/ACCESS.2019.2963096","article-title":"A privacy-preserving multi-keyword ranked search over encrypted data in hybrid clouds","volume":"8","author":"Dai","year":"2019","journal-title":"IEEE Access"},{"key":"2023011814191407100_ref8","first-page":"83","article-title":"Security analysis of authentication protocols for next-generation mobile and CE cloud services","volume-title":"Proceedings of the IEEE International Conference on Consumer Electronics","author":"Grzonkowski","year":"2011"},{"key":"2023011814191407100_ref9","volume-title":"IRCHSS-2018 and Faculty of Humanities and Social Sciences","author":"Kandambige"},{"key":"2023011814191407100_ref10","doi-asserted-by":"crossref","first-page":"2185","DOI":"10.1109\/TVT.2019.2960831","article-title":"Light weight and privacy-preserving ID-as-a-service provisioning in vehicular cloud computing","volume":"69","author":"Yao","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"2023011814191407100_ref11","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1109\/TDSC.2019.2946073","article-title":"An integrated privacy preserving attribute-based access control framework supporting secure deduplication","volume":"18","author":"Xu","year":"2021","journal-title":"IEEE Trans Dependable Secure Comput."},{"key":"2023011814191407100_ref12","article-title":"Privacy: aspects, definitions and a multi-faceted privacy preservation approach","author":"Renaud","year":"2010","journal-title":"Proceedings of the conference on Information Security for South Africa"},{"key":"2023011814191407100_ref13","first-page":"1","article-title":"Decentralizing privacy implementation at cloud storage using Blockchain-based hybrid algorithm","author":"Darwish","year":"2020","journal-title":"Arab. J. Sci. Eng."},{"key":"2023011814191407100_ref14","author":"Solon"},{"key":"2023011814191407100_ref15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jpdc.2019.08.014","article-title":"Accountable privacy preserving attribute based framework for authenticated encrypted access in clouds","volume":"135","author":"Belguith","year":"2020","journal-title":"J Parallel Distrib. Comput."},{"key":"2023011814191407100_ref16","volume-title":"Proceedings of the International Conference on Future Networks and Distributed Systems","author":"Atwady"},{"key":"2023011814191407100_ref17","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/978-3-319-67816-0_14","volume-title":"Data Privacy Management, Cryptocurrencies and Blockchain Technology","author":"Kaaniche","year":"2017"},{"key":"2023011814191407100_ref18","article-title":"The impact of outbound training (OBT)","author":"Arachchige","year":"2020","journal-title":"Int. J. Sci. Technol. Res."},{"key":"2023011814191407100_ref19","first-page":"468","volume-title":"Proceedings of the 17th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing","author":"Liang"},{"key":"2023011814191407100_ref20","first-page":"103","volume-title":"proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom)","author":"Boutsis"},{"key":"2023011814191407100_ref21","first-page":"439","article-title":"Privacy-preserving data mining","volume-title":"Proceedings of the ACM SIGMOD International Conference on Management of Data","author":"Agrawal"},{"key":"2023011814191407100_ref22","article-title":"On Random Additive Perturbation for Privacy Preserving Data Mining","volume-title":"Doctoral Dissertation","author":"Datta","year":"2004"},{"key":"2023011814191407100_ref23","doi-asserted-by":"crossref","first-page":"3295","DOI":"10.1109\/TIFS.2020.2986879","article-title":"An adaptive authenticated data structure with privacy-preserving for big data stream in cloud","volume":"15","author":"Sun","year":"2020","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2023011814191407100_ref24","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.future.2018.08.017","article-title":"A multistage protocol for aggregated queries in distributed cloud databases with privacy protection","volume":"90","author":"Kelarev","year":"2019","journal-title":"Futur. Gener. Comput. Syst."},{"key":"2023011814191407100_ref25","doi-asserted-by":"crossref","first-page":"10817","DOI":"10.1007\/s10586-017-1181-0","article-title":"Privacy preserving multi factor authentication using trust management","volume":"22","author":"Anakath","year":"2019","journal-title":"Clust. Comput."},{"key":"2023011814191407100_ref26","doi-asserted-by":"crossref","first-page":"8317","DOI":"10.1109\/JSEN.2019.2919508","article-title":"Scalable and forward secure network attestation with privacy-preserving in cloud-assisted internet of things","volume":"19","author":"Xiong","year":"2019","journal-title":"IEEE Sensors J."},{"key":"2023011814191407100_ref27","volume-title":"Int. J. Intell. Eng. Syst.","author":"Mogarala"},{"key":"2023011814191407100_ref28","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.engappai.2019.01.001","article-title":"The sailfish optimizer: a novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems","volume":"80","author":"Shadravan","year":"2019","journal-title":"Eng. Appl. Artif. Intell."},{"key":"2023011814191407100_ref29","author":"Heart Disease Data Set-UCI Machine Learning Repository"},{"key":"2023011814191407100_ref30","first-page":"895","volume-title":"Proceedings of the 20th ACM International Conference on Information and Knowledge Management","author":"Pelekis"},{"key":"2023011814191407100_ref31","first-page":"9","article-title":"Impact of supervised classifier on speech emotion recognition","volume":"2","author":"Anita","year":"2019","journal-title":"Multimedia Res."}],"container-title":["The Computer Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/comjnl\/article-pdf\/66\/1\/101\/48729071\/bxab147.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/comjnl\/article-pdf\/66\/1\/101\/48729071\/bxab147.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T14:19:45Z","timestamp":1674051585000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/comjnl\/article\/66\/1\/101\/6394996"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,13]]},"references-count":31,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,10,13]]},"published-print":{"date-parts":[[2023,1,17]]}},"URL":"https:\/\/doi.org\/10.1093\/comjnl\/bxab147","relation":{},"ISSN":["0010-4620","1460-2067"],"issn-type":[{"value":"0010-4620","type":"print"},{"value":"1460-2067","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,1]]},"published":{"date-parts":[[2021,10,13]]}}}