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 Conference Paper Faculty Publications- Conference Papers 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 Biswas, Tirthasree; Sharma, Vandana; Biswas, Rahul; Agarwal, Aman; Singh, Ajay Vikram; Jain, Sarika Title A name given to the resource Deployment of Smart Surveillance System using Deep Learning to Recognize Cyber-criminals 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 2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AIMV66517.2025.11203518" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIMV66517.2025.11203518</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021800739?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021800739?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 Biswas T., Kalinga Institute of Industrial Technology, School of Computer Engineering, Bhubaneswar, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Biswas R., Kalinga Institute of Industrial Technology, School of Computer Engineering, Bhubaneswar, India; Agarwal A., Kalinga Institute of Industrial Technology, School of Computer Engineering, Bhubaneswar, India; Singh A.V., Amity University, AIIT, UP, India; Jain S., Amity University Uttar Pradesh, AIIT, Noida, India Description An account of the resource This paper presents the development of the smart surveillance systems critical in identifying cybercriminals through the use of deep learning.The system utilizes deep learning algorithms for the identification of cybercriminals in physical and cyberspace.The systems apply neural networks to analyze images,video streams and cyber behavior for pattern recognition of suspicious activities and potential threats.Also the system analyze the online activities of users and flow of data within the network for signs of cybercriminals. Various technologies such as convolutional neural networks (CNN), and recurrent neural networks (RNN) are used to distinguish facial features, body language, and unusual online activities. This way, effective security measures are taken to prevent or reduce the impact of cybercriminals in various environments by combining intelligent monitoring systems with future threat prediction. The system is capable of evolving by identifying new criminal patterns to enhance its performance. This means the system is modified and updated as it receives more data, making it effective in multivariate settings such as any institution with financial activities, government networks, and high-security locations. 2025 IEEE. Subject The topic of the resource CNN; cybercriminal; cybercriminals; deep learning; neural networks; RNN; Smart surveillance; threat detection Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152697-9; Language A language of the resource English Type The nature or genre of the resource Conference paper 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