DIVDS: Docker Image Vulnerability Diagnostic System
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...
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doaj-749ed5449e724253b2217b4aec5ba0b42021-03-30T02:04:20ZengIEEEIEEE Access2169-35362020-01-018426664267310.1109/ACCESS.2020.29768749016185DIVDS: Docker Image Vulnerability Diagnostic SystemSoonhong Kwon0Jong-Hyouk Lee1https://orcid.org/0000-0002-1753-1284Department of Software, Protocol Engineering Laboratory, Sangmyung University, Cheonan, South KoreaDepartment of Software, Protocol Engineering Laboratory, Sangmyung University, Cheonan, South KoreaSince 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.https://ieeexplore.ieee.org/document/9016185/ContainerDocker image securityDocker image vulnerability evaluation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Soonhong Kwon Jong-Hyouk Lee |
spellingShingle |
Soonhong Kwon Jong-Hyouk Lee DIVDS: Docker Image Vulnerability Diagnostic System IEEE Access Container Docker image security Docker image vulnerability evaluation |
author_facet |
Soonhong Kwon Jong-Hyouk Lee |
author_sort |
Soonhong Kwon |
title |
DIVDS: Docker Image Vulnerability Diagnostic System |
title_short |
DIVDS: Docker Image Vulnerability Diagnostic System |
title_full |
DIVDS: Docker Image Vulnerability Diagnostic System |
title_fullStr |
DIVDS: Docker Image Vulnerability Diagnostic System |
title_full_unstemmed |
DIVDS: Docker Image Vulnerability Diagnostic System |
title_sort |
divds: docker image vulnerability diagnostic system |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
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. |
topic |
Container Docker image security Docker image vulnerability evaluation |
url |
https://ieeexplore.ieee.org/document/9016185/ |
work_keys_str_mv |
AT soonhongkwon divdsdockerimagevulnerabilitydiagnosticsystem AT jonghyouklee divdsdockerimagevulnerabilitydiagnosticsystem |
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1724185854268669952 |