Bibliometric Analysis of Trust in Named Data Networking: Insights and Future Directions

Abstract

Trust plays a crucial role in the success and adoption of Named Data Networking (NDN), a data-centric communication paradigm. This paper presents a bibliometric analysis of research articles related to trust in NDN, aiming to provide insights into the current state of this research. Based on the conducted analysis, it was discovered that a total of 106 research papers pertaining to trust in NDN were published within the period of 2017 to 2023, as documented in the Scopus database. To better understand the present state of trust in NDN research and where the field is headed, four questions were formulated based on this topic . Several tools have been used in this study, including Microsoft Excel, OpenRefine, VOSviewer, Biblioshiny and Harzing’s Publish or Perish. The observed trend indicates a notable increase in the quantity of articles published in the NDN journal during the periods spanning from 2017 to 2018, as well as from 2021 to 2022. The analysis revealed that China emerged as the nation with the highest number of published works, closely trailed by the United States. We expect many more regions to explore NDN in the future, and as a result, our collective understanding of the Internet's path will grow. This bibliometric analysis serves as a valuable resource for researchers, providing an overview of the current state of trust research in NDN and guiding future investigations in this evolving field.