Abstract: with rapid development and increase in the amount of available resources in E-learning platforms, the need to design new architecture for such systems has become inevitable to improve the search quality and simplifying ways to take online courses. The integration of multi-agent systems has played a very important role in developing open, interactive and distributed learning systems. A lot of research in E-learning and multi-agent system have been put into developing infrastructure and providing content, security and trust issues have hardly ever been considered worth knowing that security issues may endanger the success of these platforms. The application of a control access policy, as one of the most important aspects of security, in E-learning platform based on multi agent systems , plays an important role to secure interaction with agents/users and reinforcing it with the integration of trust level .The work of this paper is to encode a new access control model developed in previous works based on ‘’ role based access control model ‘’ and trust level, on ‘’Organization based access control model’’ to improve the security level in E-learning platforms based on multi-agent systems. The encoded model is implemented and evaluated by “MotOrbac” tool, in order to define its validity context and limitations for a large and extended deployment.
Keywords: Security policies; Access control; Rbac model; Orbac model; e-learning platforms; trust; multi-agent systems