Deployment of Smart Surveillance System using Deep Learning to Recognize Cyber-criminals
- Title
- Deployment of Smart Surveillance System using Deep Learning to Recognize Cyber-criminals
- Creator
- Biswas, Tirthasree; Sharma, Vandana; Biswas, Rahul; Agarwal, Aman; Singh, Ajay Vikram; Jain, Sarika
- Description
- 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.
- Source
- 2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- CNN; cybercriminal; cybercriminals; deep learning; neural networks; RNN; Smart surveillance; threat detection
- Coverage
- 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
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833152697-9;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Biswas, Tirthasree; Sharma, Vandana; Biswas, Rahul; Agarwal, Aman; Singh, Ajay Vikram; Jain, Sarika, “Deployment of Smart Surveillance System using Deep Learning to Recognize Cyber-criminals,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25748.