Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ravuri, Ananda; Malik, Khushboo; Krishna, Konda Hari; Das, Abhijeet; Bhattacharjee, Ripon; Dhanraj, Joshuva Arockia Title A name given to the resource Application of Artificial Intelligence for Enhancement of Privacy and Security in Smart Environment Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Advances in AI for Cloud, Edge, and Mobile Computing Applications;pp.73-94 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105005704394?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005704394?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ravuri A., Intel Corporation, Hillsboro, OR, United States; Malik K., School of Law, CHRIST (Deemed to be University), DelhiNCR Campus, India; Krishna K.H., Department of CSE, School of Computing, Mohan Babu University, Sree Sainath Nagar, Rangampeta, Andhra Pradesh, Tirupati, India; Das A., Department of Civil Engineering, C.V. Raman Global University (CGU), Odisha, Bhubaneswar, India; Bhattacharjee R., National Law University, Tripura, India; Dhanraj J.A., Center for Automation and Robotics (ANRO), Department of Mechatronics Engineering, Hindustan Institute of Technology and Science, Padur, Tamil Nadu, Chennai, India Description An account of the resource With the advancement of urbanization, city public privacy and security are growing increasingly crucial. City public privacy and security is not just the basis of environmental growth, but also the primary assurance for the long-term security of inhabitants existence. The idea of a smart environment is continually being explored in the present-day artificial intelligence (AI) setting. Urban public privacy and security have also introduced novel issues and difficulties. To objective of this paper is to employ AI innovation to create an effective public privacy and security data resources management platform in a smart environment. One of the main objectives of the study of AI was to allow systems to execute complicated activities that would ordinarily need human intellect. In this paper, the neural network (NN) data processing technique was used. As indication statistics, variables impacting urban public privacy and security were evaluated. The feed forward back-propagation NN (BPNN) was utilized in this study to anticipate indices statistics in real-time, which enabled the administration tasks of risk surveillance and initial alert of public privacy and security data indications to be accomplished. The outcomes indicated that the BPNN method had a mean prediction performance of roughly 89% for indication prediction, which was 16.1% points greater than the conventional NN method. The BPNN methods mean hazard alert accuracy pace was 90.3%, which was 16.5% greater than that of the typical NN method. This demonstrates that the BPNN method used in this study, which employs AI innovation, can perform advanced alerting of threats and administration of urban public privacy and security more effectively and precisely. 2025 Apple Academic Press, Inc. Subject The topic of the resource Artificial intelligence; Neural networks; Privacy; Security; Smart environment Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038081-9; 978-177952068-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online