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Student’s learning is very important part and definitely it is require that student’s attentiveness during learning is very much required. This is possible only when a teacher teaching in the class identifies. But, Time changed many things; COVID 19 takes an educational system to a new turn. During online class interaction of teachers and students has became very weak in comparison with face to face learning. The only way to understand student’s attention in class is by their speech and facial expressions emotion’s recognition. Success may be achieved through driving the learner’s attention during online class. In this paper, an innovative approach for video/ image analysis for real time facial expressions is developed, so as to recognize the quality of understanding and active involvement of the attendees in learning and teaching process. This study will help to improve the quality of services in various teaching, trainings, mentoring and consultation which improve and act as a solution to normal feedback procedure of pen and paper method. This system will help both teachers and learners to improve their way of teaching and learning through calculated Concentration Index.

The visual steganography is used to hide secret message within an image and extracting it from destination image. The secure forms of steganography are visual steganography which is implemented in image files. For securing data encryption method is used with mathematical concepts and achieves higher level of secured communication. Both the techniques visual steganography and encryption technique are combined to achieve two layer of security. Instead of sequential search, the thread based parallel search is implemented to increase the retrieval speed at high rate of concurrent search which can be implemented on any real-time architecture.

With huge quantity of patient’s medical images to be shared between specialists and clinics for improving medical diagnosis, need for privacy protection of patient details has increased. To achieve this, care must be taken that during reception, image quality must be preserved and retrieved image should be error free. In this paper, a unique concept of tiling has been used on image patterns using visual cryptography to achieve privacy preservation. The medical image is partitioned into frames using the concept of rhombus and in the deformed image tiles are formed within the different partitions, which are transmitted along with encrypted stegano-tiles. The reconstruction of original image is obtained by stacking the tiles and this error free methods performance is tested using multi scale structural similarity index and CUDA enabled GPUs.

Objectives: Secure data sharing using visual cryptography with selective retrieval upon key match is introduced in this paper. As an illustration, medical and student database is considered. Methods/Analysis: The original database is stored as relational database model. In shared data applications encryption is used to achieve privacy of sensitive (personal) data from unauthorized users. The work includes encryption, selective retrieval, retrieving records with matching markers, etc. The proposed system search records from queries in the encrypted domain itself. Findings: All application related operations like checking for some threshold value, searching for similar records across different users, etc. is included. Because of proposed system any leakage of information over retrieved set of documents is avoided. Existing searching algorithm requires O (n) comparisons (searching operations) at the server to evaluate if the database contains a chosen keyword. The communication overhead minimized between the user and server. The computation is minimized between server and user. It allows the multi-user to search over the encrypted data. Searching time is minimized by relational database management. From encrypted query server cannot, distinguish between documents, determine document contents, check for search keyword and extend beyond decrypted result. Novelty/Improvement: The algorithm is novel in the sense that uncorrelatedness among the different user's data is preserved, along with complete sharing.

Slicing geometry (image) into different frames and randomizing them can help in hiding a secret message (key) within the image and also preserve privacy. Authenticated users can use the relevant key and extract the original image at its destination. This field termed as visual cryptography or steganography is one of the most secure forms of message transfer available today and is highly suited for image files. The scope of this paper is to combine steganography and cryptography properties in such a way to make it harder to retrieve the image of the secret message. In this work, the image is sliced and randomized, the stored random slices upon match with a search string (query) the original image is retrieved. Multithread approach is combined in the searching process to reduce the time complexity of the search algorithm. This method is particularly advantageous to store large number of records, categorized into different groups, and each group indexed with specific keys and when used at the receiving side the particular group image(s) becomes accessible.

Steganography is the process of hiding a secret message within an ordinary message & extracting it at its destination. Visual steganography is one of the most secure forms of steganography available today and highly suited for image files. The scope of this paper is to combine steganography and cryptography properties in such a way to make it harder to retrieve the image of the secret message. In this work, the image is sliced, the sliced images are stored and upon match with a search string query the original image is retrieved by merging the individual randomly ordered slices in a regular manner. The image slicing ensures privacy preserving and thread based mining reduces the time complexity of the search algorithm.