Determining technological rapprochement in cybersecurity: a new approach

Links table

Abstract and 1. Introduction

2 Related work and 2.1 Approach of technological rapprochement

2.2 Technology convergence measurements

2.3 Technology convergence models

3 data

4 method and 4.1 proximity indicators

4.2 Patients and installation data

4.3 Assembly

4.4 prediction

5 results and discussion and 5.1 total results

5.2 Case Study

5.3 restrictions and future works

6 conclusion and references

Excessive

a summary

Determine the technological rapprochement between the emerging technologies in Cyber ​​security It is a crucial task for enhancing science and enhancing innovation. Unlike previous studies that focus on the bilateral relationship between the paper and the concept that attributes it to technology, our approach uses the degrees of attribution to enhance relations between research papers, the combination of keywords, quotation rates, and the state of cooperation with specific technological concepts. The proposed method integrates textual and biometric analyzes to formulate and predict technological proximity indicators for encryption techniques using an “openalex” catalog. The results of our case study highlighting a great rapprochement between Blockchain encryption and encryption in the public key, clearly in increased proximity indicators. These results provide valuable strategic visions for those who think about investments in these areas.

1 introduction

In an era characterized by a technological revolution, the understanding of the dynamics of technological development, rapprochement and appearance has become very important to develop science and enhance economic innovation [1–4]. While emerging technologies continue to reshape global landscape socially, economically and intellectually [5]There is a large gap in the literature related to a comprehensive amount of evaluation of technological rapprochement [6, 7].

To address this critical gap, our study employs the integration of bibliographic indicators, such as cooperation, main common words, and categories, to facilitate a multi -dimensional analysis of technological rapprochement. We benefit from the Openalex database, a rich source of scientific papers, to mix the development of encryption technology from 2002 to 2022. Unlike previous studies that usually use the bilateral relationship between research and assign the concept to a specific technology, we benefit from Scores Openalex Technology. This enhances the relationships of relationships between research papers and specific technological concepts, thus improving the accuracy of identifying technological rapprochement.

In addition, we use random forests to generate a time series of proximity indicators to predict technological paths. This approach has allowed us to determine the great rapprochement between Blockchain encryption and encryption in the public key, as it is well in line with the trend in the increasing practical application of the public key encryption within Blockchain.

By identifying the early stages of technological rapprochement, not only complements our studies, but also expands traditional patent analyzes, providing a better view of emerging technological trends. This vision can direct strategic investment and development in cybersecurity to enhance defenses against advanced electronic threats.

The paper is organized as follows. In Section 2, we evaluate the strengths and weaknesses in the existing literature. Section 3 shows data processing methodology, and section 4 provides our proposed form details. The results and their interpretations are displayed in Section 5. Finally, section 6 discusses our study limits, potential accessories, and provides closing notes.