Cryptographic Solutions for Securing Content-Centric Networking Against Emerging Threats in Named Data Networking (NDN)
Riddhi Mirajkar · Journal of Information Systems Engineering & Management · 2025
Named Data Networking (NDN) is very different from standard IP-based communication because it uses named data instead of host names to get data. As this new method of networking becomes extra famous, it's critical to feature sturdy encryption gear to guard in opposition to converting cyber risks and fix the issues that come with it. This paper is going into element about the encryption tools that may be used to defend NDN, focussing on how they could enhance facts security, privacy, and validity in this content-centric network design. The study first discuss a look at NDN's most important protection troubles, which includes attacks on statistics satisfactory, attacks on privateness, and denial-of-provider assaults. These issues come from the fact that NDN's sketch puts data names beforehand of network places, which makes it harder to defend against those varieties of assaults. Then we speak approximately the element digital signatures play in making sure facts is actual, consisting of how they forestall hacking and make certain the statistic’s starting place can be checked across dispensed networks. We additionally observe how Public Key Infrastructure (PKI) is set up and the way it makes managing digital certificates easier in NDN. This system allows bendy faith control that is essential for ensuring that facts in decentralised settings are actual. We additionally study how superior security methods, including symmetric and asymmetric encryption, can be used to protect records even as its miles being sent or stored. The study also discuss about how new security technologies, like quantum-resistant algorithms and blockchain technology, could be used to make NDN stronger against future threats. The goal of these improvements is to make cryptographic processes more scalable in large-scale applications and to protect against complex cyberattacks.