{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:30:46Z","timestamp":1754159446926,"version":"3.41.2"},"reference-count":0,"publisher":"SASA Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JISIS"],"published-print":{"date-parts":[[2025,5,30]]},"abstract":"<jats:p>An authentication framework is a systematic technique for authenticating the identification of persons or organizations that use a system or service. The Multi-Device continuous authentication framework improves security by dynamically authenticating users on multiple devices. This research aims to develop an intelligent Artificial intelligence (AI)-based multi-device continuous authentication framework for enhancing cloud security in financial sectors. We established an innovative architecture named Secure Sync (SS) continuous authentication system for privacy-preserving and providing continuous authentication. We obtained data from smart office infrastructure, which includes two users\u2019 several days of usage of cell phones, tablets, laptops, and desktop computers. Adam-boosted long short-term memory (ABLSTM) approach is proposed to predict the authenticate users depending on their behaviors in Secure Sync (SS) architecture. Our proposed model enhances the constraints of single-device approaches by incorporating further contextual data from varied devices. The result analysis phase evaluates the classification efficacy of the proposed model using various metrics such as precision \u2013 99.37%, recalls \u201399.4%, F1 score \u2013 99.42% and FPR- 0.0018%. We also conducted a comparison analysis with other comparable existing methods. The experimental results demonstrate that the proposed model performed better than other conventional methods for enhancing cloud security through multi-device continuous authentication in financial sectors.<\/jats:p>","DOI":"10.58346\/jisis.2025.i2.021","type":"journal-article","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T11:12:37Z","timestamp":1753441957000},"page":"297-308","source":"Crossref","is-referenced-by-count":0,"title":["AI-based Multi-Device Continuous Authentication Framework for Enhancing Cloud Security in Financial Sectors"],"prefix":"10.58346","volume":"15","author":[{"given":"Sylvia Grace","family":"J","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siddharth","family":"Sriram","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arvind Kumar","family":"Pandey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunil","family":"M P","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadaf","family":"Hashmi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bhuvana","family":"J","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"37075","published-online":{"date-parts":[[2025,5,30]]},"container-title":["Journal of Internet Services and Information Security"],"original-title":[],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T11:12:38Z","timestamp":1753441958000},"score":1,"resource":{"primary":{"URL":"https:\/\/jisis.org\/wp-content\/uploads\/2025\/07\/2025.I2.021.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,30]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,5,30]]},"published-print":{"date-parts":[[2025,5,30]]}},"URL":"https:\/\/doi.org\/10.58346\/jisis.2025.i2.021","relation":{},"ISSN":["2182-2069","2182-2077"],"issn-type":[{"value":"2182-2069","type":"print"},{"value":"2182-2077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,30]]}}}