IDENTIFYING VALID DATA FOR CACHING AND FORWARDING IN NAMED DATA NETWORKING

While the current Internet infrastructure is found upon to afford early needs of Internet users, the growth of Internet demands on content cannot be satisfied with the current infrastructure based on host-centric communication. Moreover, the users are interested in the requested contents irrespective of its location. Therefore, a paradigm shift for the current Internet model is needed to fulfill this feature along with better security and mobility support. In this direction, Named Data Networking (NDN) which is a prominent example of Content-Centric Networking (CCN) is a suitable alternative to the IP based infrastructure. The NDN infrastructure is based on name and in-network caching to minimize the latency of retrieving information and distribute data in a network. Furthermore, in NDN, the security is applied in content rather than using the secure channel between two endpoints. However, the existing researches on the security part of NDN are in the early stage and many missing parts should be covered that NDN can be implemented in the Internet scale. Therefore, in this dissertation, we propose a new trust-based method that routers can evaluate the validity of the content to either save and forward or drop contents. Thus, this proposed method can mitigate cache poisoning attacks which is an important security issue in NDN especially with having the in-network caching feature. Moreover, the proposed method creates an incentive among users to transfer valid contents. Consequently, we propose a reliable adaptive forwarding approach which uses network parameters: bandwidth, load, delay, and reliability based on our proposed trust based method to select the best path to forward users' requests (Interest messages) toward a provider. In spite of forwarding approaches in the IP infrastructure, in NDN, the forwarding methods can update adaptively to select the best route, so the proposed method with considering different network parameters can use the adaptive feature to update the path according to network conditions. Moreover, with applying the reliability parameter, the proposed forwarding method mitigate the effectiveness of the attack ejected fake contents in the network. We evaluate our proposed methods with simulation encounter of various attacks and compare them with preexisting methods. The simulation results show the superiority of the proposed methods in reducing the effect of the attacks compared with preexisting methods.Docto