Nagar, AnkurElluri, LavanyaJoshi, Karuna2021-08-062021-08-062021-06-29A. Nagar, L. Elluri and K. P. Joshi, "Automated Compliance of Mobile Wallet Payments for Cloud Services," 2021 7th IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2021, pp. 38-45, doi: 10.1109/BigDataSecurityHPSCIDS52275.2021.00018.https://doi.org/10.1109/BigDataSecurityHPSCIDS52275.2021.00018http://hdl.handle.net/11603/223332021 7th IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)Mobile payments are on the rise, and as their popularity is emerging, providers must adhere to security regulations to ensure consumer confidence. There is currently no single regulation specific to mobile wallets, so existing banking transactions are used to secure mobile payment transactions. These financial regulations are large textual documents and require significant manual effort to comprehend and ensure compliance adherence. Thus, it is difficult for both the consumers and providers to understand which specific rules in these regulations apply to their mobile wallet transactions. We have created an integrated knowledge representation of the four main banking regulations that apply to mobile payment Electronic Funds Transfer Act (EFTA), Truth in Lending Act (TILA), Gramm-Leach-Bliley Act (GLBA), and Payment Card Industry Data Security Standards (PCI-DSS). In this paper, we present our framework in detail along with the qualitative and quantitative measures that were used to validate the design against the policies of six major vendors that deal with mobile payments. Our integrated mobile payment knowledge graph, which is available in the public domain, can be used by practitioners to automate mobile wallet transaction compliance in their organization.8 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.© 2021 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.UMBC Ebiquity Research GroupText