Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Abstract Security has emerged as the most concerned aspect of cloud computing environment and a prime challenge for the cloud users. The stored data can be retrieved by the user whenever and wherever required. But there is no guarantee that the data stored in the cloud server has not been accessed by any unauthorized user. The current cloud framework does not allow encrypted data to be stored due to the space and storage cost. Storing secret data in an unencrypted form is vulnerable to external attacks by both illegitimate customers and a Cloud Service Provider (CSP). Traditional encryption techniques require more computation and storage space. Hence, protecting cloud data with minimal computations is the prime task. Secured Document Sharing Using Visual Cryptography (SDSUVC) technique proposes an efficient storage scheme in a cloud for storing and retrieving a document file without any mathematical computations and also ensures data confidentiality and integrity.

Department of Smart Computing

School of Information Technology and Engineering

Vellore Campus

Department of Software and Systems Engineering

Fulltext

Cybernetics and Information Technologies

Secured Document Sharing Using Visual Cryptography in Cloud Data Storage

Cloud computing model allows the customers to access the secured information from the cloud server without the help of using the hardware or the software. For the effective usage of the data from the cloud provider, the data owner encrypts the data and then its ends to the cloud server. To secure the data in the cloud we have dealt through lots of security issues earlier. In this paper we have proposed the idea how the data could be made more secured using visual cryptographic techniques. This model not only increases the trust among the users to send their information with full reliability and also helps in the authorization of the users. © 2015 IEEE.

International Confernce on Innovation Information in Computing Technologies

Securing cloud data using visual cryptography

VIT Unitversity

2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI)

Low complexity image compression of capsule endoscopy images

Images are a very important document now-a-days; we work with them almost every day in some form or the other, in various applications, they need to be compressed, more or less depending on the purpose or area of application. There is an utmost need for compression of images because a raw image takes in a lot of space on disk, which seems to be a big drawback during storage and transmission of image. Even though there is rapid progress in mass storage density, processor speeds, and digital communication system performance, demand for data storage capacity and data transmission bandwidth continues to surpass the capabilities for available technologies. There are various algorithms for compressing the image, perform compression in different ways; some are lossless, keeping the original information intact even after compression, whereas some other loose information while compressing the image. The digital images have a wide application in the medical area. 3D images are produced by CT, MRI and many more An efficient method for inserting an invisible digital watermark while compressing the image is proposed in this paper. © Research India Publications.

World University root node

International Journal of Applied Engineering Research

Low complexity image compression approach for medical image security