DIVDS: Docker Image Vulnerability Diagnostic System

Autor: Soonhong Kwon, Jong-Hyouk Lee
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE Access, Vol 8, Pp 42666-42673 (2020)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2020.2976874
Popis: Since the development of Docker in 2013, container utilization projects have emerged in various fields. Docker has the advantage of being able to quickly share application build environments among developers through container technology, but it does not provide security guarantees for known security vulnerabilities inside Docker images. Since the Docker images are shared without a means of security vulnerability diagnostic, polluted Docker images can be distributed so that the Docker-based application build environments can be easily collapsed. In this paper, we introduce a Docker Image Vulnerability Diagnostic System (DIVDS) for a reliable Docker environment. The proposed DIVDS diagnoses Docker images when uploading or downloading the Docker images from a Docker image repository.
Databáze: Directory of Open Access Journals