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 Articles Article Faculty Publications -Articles 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 Deep Belief Network-Based User and Entity Behavior Analytics (UEBA) for Web Applications Subject The topic of the resource Anomaly detection; deep belief network (dbn); federated identity management; user and entity behavior analytics Description An account of the resource Machine learning (ML) is currently a crucial tool in the field of cyber security. Through the identification of patterns, the mapping of cybercrime in real time, and the execution of in-depth penetration tests, ML is able to counter cyber threats and strengthen security infrastructure. Security in any organization depends on monitoring and analyzing user actions and behaviors. Due to the fact that it frequently avoids security precautions and does not trigger any alerts or flags, it is much more challenging to detect than traditional malicious network activity. ML is an important and rapidly developing anomaly detection field in order to protect user security and privacy, a wide range of applications, including various social media platforms, have incorporated cutting-edge techniques to detect anomalies. A social network is a platform where various social groups can interact, express themselves, and share pertinent content. By spreading propaganda, unwelcome messages, false information, fake news, and rumours, as well as by posting harmful links, this social network also encourages deviant behavior. In this research, we introduce Deep Belief Network (DBN) with Triple DES, a hybrid approach to anomaly detection in unbalanced classification. The results show that the DBN-TDES model can typically detect anomalous user behaviors that other models in anomaly detection cannot. 2024 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Deepa S.; Umamageswari A.; Neelakandan S.; Bhukya H.; Sai Lakshmi Haritha I.V.; Shanbhog M. Source A related resource from which the described resource is derived International Journal of Cooperative Information Systems, Vol-33, No. 2 Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0218843023500168" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0218843023500168</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187297463&amp;doi=10.1142%2FS0218843023500168&amp;partnerID=40&amp;md5=d95481829b249e3544ecbf7dfc84104e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187297463&amp;doi=10.1142%2fS0218843023500168&amp;partnerID=40&amp;md5=d95481829b249e3544ecbf7dfc84104e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2188430 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deepa S., Department of Computer Science and Engineering, Srm Institute of Science and Technology, Ramapuram Campus, Tamil Nadu, Chennai, India; Umamageswari A., Department of Computer Science and Engineering, Srm Institute of Science and Technology, Ramapuram Campus, Tamil Nadu, Chennai, India; Neelakandan S., Department of Computer Science and Engineering, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, Chennai, India; Bhukya H., Department of Computer Science and Engineering (Networks), Kakatiya Institute of Technology and Science, Telangana, Warangal, India; Sai Lakshmi Haritha I.V., Department of Information Technology, Mlr Institute of Technology, Telangana, Hyderabad, India; Shanbhog M., Department of Sciences, Christ (Deemed to Be University), Delhi NCR, Uttar Pradesh, Ghaziabad, 201003, India