Artículo

Lattice-based cryptanalysis of RSA-type cryptosystems: a bibliometric analysis

Resumen

The RSA (Rivest–Shamir–Adleman) cryptosystem is a widely used public-key cryptographic algorithm in information systems and computer applications. With the advancement of lattice theory, a technique known as the lattice-based method has emerged as a significant threat to RSA and its variants. This paper aims to conduct a bibliometric analysis of publications in the field of lattice-based attacks on RSA-type cryptosystems. The analysis is based on a dataset of relevant publications retrieved from Scopus and utilizes visualization tools such as CiteSpace and VOSviewer for a thorough overview. In order to understand the research developmental trajectory, we analyze the publication trends over the years, explore cooperation networks at various levels, including country/region, institution, and author, and assess the extent of collaboration, contribution, and productivity within the field. Additionally, author co-citation network and reference co-citation clustering are utilized to enable the identification of significant research achievements, cutting-edge developments, and structural framework. Furthermore, we conduct detailed analysis from a keyword perspective to identify research hotspots and emerging trends. The findings contribute to the existing body of knowledge on lattice-based cryptanalysis of RSA-type cryptosystems. Moreover, this bibliometric analysis serves as a valuable resource for identifying fruitful areas for further exploration and guides future research efforts.
Bian, Jinhu (43561035200); Zhao, Jinping (59501798600); Li, Ainong (14519510100)
Remote sensing monitoring of mountain sustainable development goals (SDG15.4): a systematic review
2025
10.1080/17538947.2024.2448216
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214201301&doi=10.1080%2f17538947.2024.2448216&partnerID=40&md5=2c670cf16564de87238b2feaebb01c1e
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; University of Chinese Academy of Sciences, Beijing, China; Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province, Mianyang, China
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio