{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:14:24Z","timestamp":1775067264815,"version":"3.50.1"},"reference-count":0,"publisher":"SASA Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JISIS"],"published-print":{"date-parts":[[2025,8,30]]},"abstract":"<jats:p>Today's world places more emphasis on smart device transactions for the financial sector, which \nconfigures a large number of programs that are capable of processing massive volumes of data \neffectively in response to the expanding requirement for service facilities from network edges. These \nenormous increases have led to addressing issues with the security of the system and the \nfunctionality of smart devices regarding critical transaction records for financial transactions. \nService centers currently exchange transaction records across many platforms, recognition to \nblockchain technology. In this paper, research developed a Distributed Blockchain-learning cloud \n(DistB-Learning Cloud) architecture to address these problems for financial sectors. It combines \nblockchain technology, properties of cloud computing and machine learning (ML) to provide secure \ninformation transfers in peer-to-peer systems and efficient data-sharing services. There are four \ndesign models in this methodology. Initially, an attack detection approach uses a Support Vector \nMachine (SVM), using a transaction network-based anomalous traffic detector to locate the attack \nin the financial sector. Second, to manage risks and confirm the process of identity verification for \nsecure transactions, a novel model for a blockchain transaction network is created using a Crypto\nAware Elliptic Curve (CAEC) and encryption. The ML model is then trained for the output \nprediction by logistic regression (LR) of the large-scale transaction record. In conclusion, a cloud \nassessment model facilitates the management of transaction records that are maintained and accessible sharing of services that each service center has access to several cloud platforms. The \nresults of the experiments show that the DistB-learningCloud performs higher than existing schemes \nin terms of achieving more transactions in each block for the financial sector.<\/jats:p>","DOI":"10.58346\/jisis.2025.i3.004","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T08:50:24Z","timestamp":1762332624000},"page":"50-61","source":"Crossref","is-referenced-by-count":1,"title":["Blockchain Integrated Cloud Security: Novel AI-based Traffic  Record Transaction for Financial Sectors"],"prefix":"10.58346","volume":"15","author":[{"given":"K.","family":"Balaji","sequence":"first","affiliation":[]},{"given":"Vaibhav","family":"Kaushik","sequence":"additional","affiliation":[]},{"given":"M.","family":"Ulagammai","sequence":"additional","affiliation":[]},{"given":"Lovish","family":"Dhingra","sequence":"additional","affiliation":[]},{"given":"Ashish Kumar","family":"Kaushal","sequence":"additional","affiliation":[]},{"given":"Mohit","family":"Sharma","sequence":"additional","affiliation":[]}],"member":"37075","published-online":{"date-parts":[[2025,8,30]]},"container-title":["Journal of Internet Services and Information Security"],"original-title":[],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T08:50:25Z","timestamp":1762332625000},"score":1,"resource":{"primary":{"URL":"https:\/\/jisis.org\/wp-content\/uploads\/2025\/10\/2025.I3.004.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,30]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,8,30]]},"published-print":{"date-parts":[[2025,8,30]]}},"URL":"https:\/\/doi.org\/10.58346\/jisis.2025.i3.004","relation":{},"ISSN":["2182-2069","2182-2077"],"issn-type":[{"value":"2182-2069","type":"print"},{"value":"2182-2077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,30]]}}}