eprintid: 14856 rev_number: 8 eprint_status: archive userid: 2 dir: disk0/00/01/48/56 datestamp: 2024-10-25 23:30:07 lastmod: 2024-10-25 23:30:08 status_changed: 2024-10-25 23:30:07 type: article metadata_visibility: show creators_name: El Akhdar, Abir creators_name: Baidada, Chafik creators_name: Kartit, Ali creators_name: Hanine, Mohamed creators_name: Osorio García, Carlos Manuel creators_name: García Lara, Roberto creators_name: Ashraf, Imran creators_id: creators_id: creators_id: creators_id: creators_id: carlos.osorio@uneatlantico.es creators_id: roberto.garcia@unini.edu.mx creators_id: title: Exploring the Potential of Microservices in Internet of Things: A Systematic Review of Security and Prospects ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: unic_produccion_cientifica divisions: uniromana_produccion_cientifica full_text_status: public keywords: Internet of Things; microservices; potential security; standard security; systematic review abstract: With the rapid growth of Internet of Things (IoT) systems, ensuring robust security measures has become paramount. Microservices Architecture (MSA) has emerged as a promising approach for enhancing IoT systems security, yet its adoption in this context lacks comprehensive analysis. This systematic review addresses this research gap by examining the incorporation of MSA in IoT systems from 2010 to 2024. From an initial pool of 4388 studies, selected articles underwent thorough quality assessment with weighted critical appraisal questions and a defined inclusion threshold. This study represents the first comprehensive systematic review to investigate the potential of microservices in IoT, with a particular focus on security aspects. The review explores the merits of MSA, highlighting twelve benefits, eight key challenges, and eight security risks. Additionally, the eight best practices for implementing MSA in IoT systems are extracted. The findings underscore MSA’s utility in fortifying IoT security while also acknowledging complexities and potential vulnerabilities. Moreover, the study calls attention to the importance of incorporating complementary technologies including blockchain and machine learning to address identified gaps effectively. Finally, we propose a taxonomic classification for Microservice-based IoT security patterns, facilitating the categorization and organization of security measures in this context. Such a review can help researchers and practitioners identify existing gaps, highlight potential research directions, and provide guidelines for designing secure and efficient microservice-based IoT systems. date: 2024 publication: Sensors volume: 24 number: 20 pagerange: 6771 id_number: doi:10.3390/s24206771 refereed: TRUE issn: 1424-8220 official_url: http://doi.org/10.3390/s24206771 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Artículos y libros Universidad de La Romana > Investigación > Producción Científica Abierto Inglés With the rapid growth of Internet of Things (IoT) systems, ensuring robust security measures has become paramount. Microservices Architecture (MSA) has emerged as a promising approach for enhancing IoT systems security, yet its adoption in this context lacks comprehensive analysis. This systematic review addresses this research gap by examining the incorporation of MSA in IoT systems from 2010 to 2024. From an initial pool of 4388 studies, selected articles underwent thorough quality assessment with weighted critical appraisal questions and a defined inclusion threshold. This study represents the first comprehensive systematic review to investigate the potential of microservices in IoT, with a particular focus on security aspects. The review explores the merits of MSA, highlighting twelve benefits, eight key challenges, and eight security risks. Additionally, the eight best practices for implementing MSA in IoT systems are extracted. The findings underscore MSA’s utility in fortifying IoT security while also acknowledging complexities and potential vulnerabilities. Moreover, the study calls attention to the importance of incorporating complementary technologies including blockchain and machine learning to address identified gaps effectively. Finally, we propose a taxonomic classification for Microservice-based IoT security patterns, facilitating the categorization and organization of security measures in this context. Such a review can help researchers and practitioners identify existing gaps, highlight potential research directions, and provide guidelines for designing secure and efficient microservice-based IoT systems. metadata El Akhdar, Abir; Baidada, Chafik; Kartit, Ali; Hanine, Mohamed; Osorio García, Carlos Manuel; García Lara, Roberto y Ashraf, Imran mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, carlos.osorio@uneatlantico.es, roberto.garcia@unini.edu.mx, SIN ESPECIFICAR (2024) Exploring the Potential of Microservices in Internet of Things: A Systematic Review of Security and Prospects. Sensors, 24 (20). p. 6771. ISSN 1424-8220 document_url: http://repositorio.unic.co.ao/id/eprint/14856/1/sensors-24-06771-v2.pdf