In e-learning domain, there is need for secure communication of materials between tutor and student. In this paper, a unique concept of tiling has been used on image patterns which can be an image for authentication like facial image, fingerprint etc. After formation of tiles with either periodic or non-periodic patterns the original image will be changed in appearance and only when the tiles are properly grouped in the deformed image, the original image can be obtained. The image is partitioned into frames according to the concept of dart and in the deformed image tiles are formed within the different partitions. The tiled partitions of the image which is the image after shuffling the tiles using dart concept are transmitted and the reconstruction of original image is done by stacking the tiles. In the proposed method, it is harder to retrieve the image of the secret message without private key. This visual cryptography based method can be used for secure transfer of confidential materials in e-learning.
Secure data sharing of sensitive information stored in cloud is very important as anybody can access it from anywhere in the world. Attribute Based Encryption(ABE) is an efficient technique for encryption and allotment of sensitive data in cloud. This research work offers a novel method for secure sharing of medical records using enhanced Ciphertext Policy- Attribute-Based Encryption (CP-ABE) along with data owner specifying the access control policies. The proposed algorithm also decreases the size of the search key token and search time while searching on encrypted data using Bloom filter.
Despite the evolution of modern technology, the users of hearing aids do not realize the persistance of feedback, while wearing the device until the condition become worse. On applying the feedback cancellation algorithms, instead of cancelling the acoustic feedback, it limits the speech intelligibility. The paper presents a novel method on estimation of SNR based adaptive-feedback equalizers (SBAFE) algorithm to develop an optimized hearing aids for the feedbackless sound transmission and achieving the better speech discrimination. The data gathered for the optimization is visualised and compared with the traditional technology which provide the subjective and objective quality of the hearing aids.