DEVELOPMENT OF A PRIVACY AIDED TRUST ROUTING ALGORITHM BASED ON SOCIAL SIMILARITY IN OPPORTUNISTIC NETWORK

📄 Project Abstract

This research work presents the development of a privacy aided trust routing model using social similarity in an Opportunistic Network (OppNet). OppNet is a delay tolerant network where link is highly unpredictable. It is an ideal solution in situations where the deployment of wired and conventional wireless networks is difficult or practically impossible. However, OppNet is faced with several challenges. Most of these challenges are related to routing, buffer management or security. The most promising amongst the several approaches by researchers at addressing these challenges are the ones that explored social behavior of human beings. The mobile nature of OppNets however brought to the fore the need for a more efficient and effective security model. This work, therefore, intends to further strengthen privacy in an OppNet. This is done by developing a community-based privacy preservation scheme using a symmetric cryptographic model, based on a differential equation of a curvi-circular...