PROPOSING A SECURE FRAMEWORK FOR ELEARNING PLATFORMS USING ATTRIBUTE BASED ENCRYPTION
PROPOSING A SECURE FRAMEWORK FOR ELEARNING PLATFORMS USING ATTRIBUTE BASED ENCRYPTION

Summary/Abstract: Nowadays, technology grows fast and cloud computing and big data become important parts of the businesses. Cloud computing brings many advantages, such as flexibility, easy recovery, automatic software updates, availability – which allows users to work from everywhere. One of the most important characteristic is that cloud computing provides resources on demand, all we need is an internet connection. So, cloud computing is adopted by more and more companies due its benefits. An important aspect of the society is education. As the technology is expanding continuously, also the education needs to move in parallel. As a consequence, we can follow different courses online, on the eLearning platforms. There are many eLearning platforms, with different subjects of learning, some courses being provided by top universities, or top companies with certificate of completion after a final exam. Due to cloud computing benefits, eLearning platforms could be developed as services. Still, a sensitive subject regarding to cloud computing is its security. The cloud computing security is threatened from many points of view, because of its complexity. The security issues could occur at the communication level (because of shared infrastructure, virtualization, and configuration), architectural level (security challenges for data storage, web applications and APIs, access control), or contractual and legal level. The researchers are working continuously in order to provide strong security. For example, at the architectural level, could be used attribute based encryption or identity based encryption techniques. In this paper we propose a new framework for an eLearning environment, provided as a service, such that, it could be accessed from everywhere and on every type of device. We secure our framework using attribute based encryption scheme applied in cloud computing.

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