On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective
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| Publicado en: | Future Internet vol. 17, no. 4 (2025), p. 137 |
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| Otros Autores: | , , |
| Publicado: |
MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 1999-5903 | ||
| 024 | 7 | |a 10.3390/fi17040137 |2 doi | |
| 035 | |a 3194606745 | ||
| 045 | 2 | |b d20250401 |b d20250430 | |
| 084 | |a 231464 |2 nlm | ||
| 100 | 1 | |a Ninos Fragkiskos |u Department of Economics, University of Piraeus, 18534 Piraeus, Greece; ninosf@unipi.gr (F.N.); mpolemis@unipi.gr (M.P.) | |
| 245 | 1 | |a On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Digital forensics systems are complex applications consisting of numerous individual components that demand substantial computing resources. By adopting the concept of microservices, forensics applications can be divided into smaller, independently managed services. In this context, cloud resource orchestration platforms like Kubernetes provide augmented functionalities, such as resource scaling, load balancing, and monitoring, supporting every stage of the application’s lifecycle. This article explores the deployment of digital forensics applications over a microservice-based architecture. Leveraging resource scaling and persistent storage mechanisms, we introduce a vertical scaling mechanism for compute-intensive forensics applications. A practical evaluation of digital forensics applications in competition investigations was performed using datasets from the private cloud of the Hellenic Competition Commission. The numerical results illustrate that the processing time of CPU-intensive tasks is reduced significantly using dynamic resource scaling, while data integrity and security requirements are fulfilled. | |
| 610 | 4 | |a National Institute of Standards & Technology | |
| 653 | |a Evidence | ||
| 653 | |a Forensic sciences | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Competition | ||
| 653 | |a Communication | ||
| 653 | |a Competition policy | ||
| 653 | |a Cybersecurity | ||
| 653 | |a Scaling | ||
| 653 | |a Bullying | ||
| 653 | |a Criminal investigations | ||
| 653 | |a Cybercrime | ||
| 653 | |a Service oriented architecture | ||
| 653 | |a Cloud computing | ||
| 653 | |a Computer forensics | ||
| 653 | |a Internet of Things | ||
| 653 | |a Forensic computing | ||
| 653 | |a Resource management | ||
| 700 | 1 | |a Karalas Konstantinos |u Hellenic Competition Commission, 10434 Athens, Greece; kkaralas@epant.gr | |
| 700 | 1 | |a Dechouniotis Dimitrios |u Hellenic Competition Commission, 10434 Athens, Greece; kkaralas@epant.gr | |
| 700 | 1 | |a Polemis, Michael |u Department of Economics, University of Piraeus, 18534 Piraeus, Greece; ninosf@unipi.gr (F.N.); mpolemis@unipi.gr (M.P.) | |
| 773 | 0 | |t Future Internet |g vol. 17, no. 4 (2025), p. 137 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3194606745/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3194606745/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3194606745/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |