Secure Data Deduplication System with Cyber Security Multikey Management in Cloud Storage

Author:

Kumar R. Nandha1,Sathiya T.2,Mohanta Harish Chandra3ORCID,Ahmad Sayed Sayeed4ORCID,Kumar Ankit5ORCID,Alshammri Ghalib H.6ORCID,Atiglah Henry Kwame7ORCID

Affiliation:

1. Department of Computer Science and Applications, Vivekanandha College of Arts and Sciences for Women (Autonomous), Tiruchengode, Tamil Nadu, India

2. Department of CSE, Sona College of Technology, Salem, Tamil Nadu, India

3. Department of Electronics and Communication Engineering, Centurion University of Technology and Management, Gajapati, Odisha, India

4. College of Engineering and Computing, Al Ghurair University, Dubai, UAE

5. Department of Computer Engineering and Applications, GLA University Mathura, Mathura 281406, Uttar Pradesh, India

6. Department of Computer Science, Community College, King Saud University, Riyadh 11437, Saudi Arabia

7. Department of Electrical & Electronics Engineering, Tamale Technical University, Tamale, Ghana

Abstract

Object detection is essential in a video surveillance system. To recognize an item in a movie, we first examine each picture pixel by pixel. The Secure Data Deduplication system in segmentation is the process of separating distinct picture components into pixels in digital image processing. The performance of segmentation is influenced by irregular and/or poor lighting. These characteristics have a significant impact on the video surveillance system’s real-time object detection process. A multikey management system based on a modified ResNet model is presented in this research (M-ResNet). Cyber security is a suggested algorithm application that is used to improve images that are influenced by a lack of light. The experimental findings reveal a significant improvement in detecting objects in the video stream as compared to the present technique output and modification architecture of the ResNet model. The suggested model achieves superior results in measures like precision, recall, and pixel accuracy, as well as a decent increase in object recognition.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

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