Novel and secured multi-agent based distributed architecture for e-learning environment

The proposed model of a multi-agent environment for e-learning due to increase in the cybercrime was found to be susceptible to DOS attacks and personification attacks that is dealt by embedding the mitigation mechanism of IP filtering with the proposed model. Developing the e-learning environment in which an algorithm has been implemented to filter the spoofed IPs from the legitimate IPs. The multi-agent environment implemented with all the agents has been fortified along with the IP filtering algorithm which proves to be improving the performance. An e-learning platform usually concentrates on delivering the content to the legitimate users with an emphasis on the content delivery alone wherein the components of the Information Security need to be concentrated more. In this paper, we have proposed a solution that caters the Confidentiality, Integrity and Availability without any hindrance to the performance of the system. The implementation of Dynamic Hop Count Filtering in the Multiagent based e-learning environment is a system that mitigates the IP spoofing based DOS attacks on the system.