A Competent Post-Authentication and Non-Repudiation Biometric-based Scheme for M-Learning
Georgios Kambourakis, Dimitrios Damopoulos · 2013
As mobile learning (mLearning) gains momentum, so does the worry of the parties involved to mLearning activities re-garding the security and privacy level of the underlying sys-tems and practices. Indeed, the basically spontaneous na-ture of mLearning and the variety of out-of-control devices that are used for supporting its activities, makes it prone to a plethora of attacks such as masquerading and man-in-the-middle. Thus, the provision of some sort of post-authentication and non-repudiation service in an effort to deter and repel ill-motivated activities may be of particular value in such realms. Compelled by this fact, in this paper, we introduce a dynamic signature-based biometric scheme to enable the offering of both of the aforementioned ser-vices in mLearning domains. We argue that our solution is both practical and lightweight. Its feasibility is also demon-strated through the use of machine learning techniques.