Systematic Literature Review on Cybersecurity and its Influence on Cyber Attacks Targeting IoT Devices

Authors

  • Mario Padilla-Gomez Universidad Nacional Federico Villarreal
  • Javier Gamboa-Cruzado Universidad Nacional Mayor de San Marcos
  • Segundo Távara-Aponte
  • Ángel Núñez-Meza Universidad Nacional Daniel Alcides Carrión
  • Flavio Amayo-Gamboa Universidad Nacional de Trujillo
  • Saul Arauco-Esquivel

DOI:

https://doi.org/10.13053/cys-28-4-5006

Keywords:

Systematic Literature Review, Cybersecurity, Internet of Things, IoT devices, Cyber Attacks

Abstract

The Internet of Things (IoT) offers a valuable proposition for various sectors of society, ranging from light bulbs to healthcare resources and even smart city infrastructures. This technology interacts with a considerable volume of data, which is susceptible to potential alterations or thefts. Consequently, one of the main challenges in cybersecurity involves preventing, detecting, and managing these incidents. The aim of this study is to establish the current state of knowledge regarding cybersecurity and its influence on cyber attacks directed at IoT devices. In this context, a systematic review of empirical studies up to the year 2022 was conducted. The search strategy resulted in the identification of 70 studies, which were subjected to exclusion criteria and evaluated in terms of quality to form the definitive list. The selected studies were organized into a PRISMA diagram and categorized according to sources of information such as Scopus, Web of Science, IEEE Xplore, EBSCOhost, ARDI, and ProQuest. The results of the systematic review revealed four criteria for measuring the effectiveness of cybersecurity and highlighted China, the United Kingdom, and the United States as the most productive countries in terms of the number of published papers and collaborations. This study provides valuable information for future research and establishes a point of comparison across different situational environments.

Author Biography

Javier Gamboa-Cruzado, Universidad Nacional Mayor de San Marcos

He is a Doctor in Systems Engineering, Systems Engineer. He teaches at the Faculty of Systems Engineering. He has published many articles on Machine Learning. Business Intelligence, Big Data. He is currently Advisor to the Vice Rectorate of Research and Graduate Studies at UNMSM.

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Published

2024-12-03

Issue

Vol. 28 No. 4 (2024): 28(4) 2024

Section

Articles

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