Abstract
Nowadays, all academic institutions exhibit and distribute their material over Internet. Moreover e-learning and e-evaluation products is one of the most rapidly expanding areas of education and training, with nearly 30% of U.S. college and university students now taking at least one online course. However, Internet increases the vulnerability of digital educational content exploitation since it is a possibly hostile environment for secure data management. Educational institutions have to deal with all the open security challenges that can cause huge data and financial losses, harm their reputation and strictly affect people’s trust on them. In this paper we propose a trust preserving approach for utilizing online evaluation of acquired student competences and we present a trust preserving approach for handling the increasingly complex issues of designing, developing and e-competence evaluation systems suitable for educational and e-learning environments. The proposed architecture for an online competence evaluation system will offer to the authorized users procedures for evaluating competences and providing their feedback but they have to prove their eligibility to participate in the evaluation while, at the same time, it will preserve their privacy and it will ensure system’s trustworthiness. The proposed model addresses a list of fundamental operational and security requirements and implements a small scale proof of concept of privacy enhancement technologies.
This work has been partially supported by the “Implementation of Software Engineering Competence Remote Evaluation for Master Program Graduates (ISECRET)” project No 2015-1-LVo1-KA203-013439 funded by ERASMUS+ of the European Commission and by the National funds allocated by the Greek General Secretarial of Research and Development project 2006SE01330025 as continuation of FP7-PEOPLE-IAPP-2009, Grant Agreement No. 251589, Acronym: SAIL.
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Liagkou, V., Stylios, C. (2019). A Trustworthy and Privacy Preserving Model for Online Competence Evaluation System. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Contemporary Complex Systems and Their Dependability. DepCoS-RELCOMEX 2018. Advances in Intelligent Systems and Computing, vol 761. Springer, Cham. https://doi.org/10.1007/978-3-319-91446-6_32
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