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In this paper, a novel technique on trade-off between the utility and privacy is developed, where the former is developed with a metaheuristic algorithm and the latter is developed using a cryptographic model. The utility is carried out with the process of clustering, and the privacy model encrypts and decrypts the model. At first, the input datasets are clustered, and after clustering, the privacy of data is maintained. The simulation is conducted on the manufacturing datasets over various existing models. The results show that the proposed model shows improved clustering accuracy and data privacy than the existing models. The evaluation with the proposed model shows a trade-off privacy preservation and utility clustering in smart manufacturing datasets.<\/jats:p>","DOI":"10.1155\/2021\/3611182","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T22:36:20Z","timestamp":1640730980000},"page":"1-9","source":"Crossref","is-referenced-by-count":57,"title":["A Novel Method to Solve Real Time Security Issues in Software Industry Using Advanced Cryptographic Techniques"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0829-5582","authenticated-orcid":true,"given":"B.","family":"Gobinathan","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Jaya Sakthi Engineering College, Chennai 602 024, Tamil Nadu, India"}]},{"given":"M. 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