A model for detecting fake Negative Acknowledgements (NACK) in named Data Network (NDN) using Blockchain Technology

Abstract

Data Networking is a new concept in current internet technology that replaces the traditional TCP/IP architecture by addressing nodes depending on user interest. Due to the massive volume of traffic generated, Internet security is an extremely demanding study subject. The built-in structure of NDN prioritizes stronger privacy and security protections, allowing for more scalable networking. Though the architecture of NDN helps in the prevention of some current TCP/IP attacks, attackers exploit some of these aspects and use them to their advantage. They have the ability to launch new types of attacks, such as the creation of fake Negative Acknowledgment (NACK). NACKs are important in the NDN architecture because they cleanse state in routers and inform consumers.NACKs appear to be beneficial in terms of security since they can assist in mitigating so-called ”Interest Flooding Attack”(IFA). Using blockchain technology, this thesis focuses on detecting harmful Negative Acknowledgements (NACK). Our proposed framework identifies and alerts users to fake NACKs in the network. Through the paper, our main objective is to make interaction between the client and the producer simpler by applying cutting-edge technologies.