B. S. Bindhumadhava

A Smart Tutoring Aid for the Autistic - Educational Aid for Learners on the Autism Spectrum

Smart e-Learning environments are no more novice but have become the order-of-the-day, with the strengths gained and exhibited by the recent technologies. Also, personalization is the current norm with each learner customizing his/her own Learning environments, not only on his interests but also to his tastes. Personalization of the e-Learning environments for the Cognitively Disabled is still to be evolved, as personalization cannot be left to the discretion of the disabled user. It has to be done by the supporting people like the teacher, therapist or the parent. This manual intervention can be minimized, using Self-Learning environments, which can interact with the child, understand him and dynamically personalize the lesson plans, based on his interests, mood and current attention span. Proposing a Smart e-Learning Tutoring model for the Autistic with machine learning capabilities that help in generating dynamic e-Learning sessions, thus maximizing each learners opportunity to grasp and learn independently.

Digital Tokens: A Scheme for Enabling Trust Between Customers and Electronic Marketplaces

In electronic marketplaces, when the supply of a particular product is limited, and when there is a huge demand for the same, the questions of transparency and integrity prop up. We propose Digital Tokens—defined using proven cryptographic techniques—as a mechanism to assure trust for customers, and issued by a reliable, transparent and third-party intermediary, called digital token service provider (DTSP). The digital tokens are issued to a customer on behalf of a vendor and could be authenticated by both Vendor and the DTSP. This paper details the architecture involving the DTSP, protocols for communication, implementation details, the potential uses and benefits of the system and performance evaluation of such a system.

DNA Based Cryptography to Improve Usability of Authenticated Access of Electronic Health Records

The quality of health care has been drastically improved with the evolution of Internet. Electronic health records play a major role in interoperability and accessibility of patient’s data which helps in effective and timely treatment irrespective of the demographic area. The proposed model is to ensure and monitor maternal health during pregnancy and to create awareness alerts (options include messages, voice alerts or flash the system) based on the individual health record. The system aims to prevent maternal death due to medical negligence and helps to make recommendations to prevent future mortality based on medical history and take appropriate action. Authentication is a critical aspect considering the trade-off between usability and security whereas data breach and related cybercrime are major concerns in health care. The proposed model uses DNA based authentication techniques to ensure usability and confidentiality of electronic data, Aadhaar to prevent unauthorized access to patient’s data in case of emergency without affecting availability.