Biblio
The need for cybersecurity knowledge and skills is constantly growing as our lives become more integrated with the digital world. In order to meet this demand, educational institutions must continue to innovate within the field of cybersecurity education and make this educational process as effective and efficient as possible. We seek to accomplish this goal by taking an existing cybersecurity educational technology and adding automated grading and assessment functionality to it. This will reduce costs and maximize scalability by reducing or even eliminating the need for human graders.
The Internet of Things is a vision that broadens the scope of the internet by incorporating physical objects to identify themselves to the participating entities. This innovative concept enables a physical device to represent itself in the digital world. There are a lot of speculations and future forecasts about the Internet of Things devices. However, most of them are vendor specific and lack a unified standard, which renders their seamless integration and interoperable operations. Another major concern is the lack of security features in these devices and their corresponding products. Most of them are resource-starved and unable to support computationally complex and resource consuming secure algorithms. In this paper, we have proposed a lightweight mutual authentication scheme which validates the identities of the participating devices before engaging them in communication for the resource observation. Our scheme incurs less connection overhead and provides a robust defence solution to combat various types of attacks.