Selective Area Encryption using Machine Learning Technique
Soumya Kelur, Ranjan Kumar H S, Raju K. · 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) · 2019
Detection of object and recognition of objects in real world computing environment is one of the challenging tasks in computer vision. To solve this task there are many challenges in designing algorithm, we have to introduce different and innovative techniques to detect objects in natural environments. Image security is of high importance in various applications including military, medical and many others. Security is one of the most challenging aspects in the internet and network applications. Encrypting entire image is very slow. Selective encryption is a scheme which intends to save computational power, network resources, and execution time. To encrypt object selectively object detection techniques are used. This technique is one of the most promising solutions to increase the speed of encryption as compared to the traditional encryption techniques. Selective encryption is helpful for the multimedia contents like image, video and audio. The compression ratio achieved is very high, since we store only the residues of extracted pixel of an image. So this paper discussed about Selective encryption with object detection technique.