» Articles » PMID: 35205470

Information Hiding in the DICOM Message Service and Upper Layer Service with Entropy-Based Detection

Overview
Journal Entropy (Basel)
Publisher MDPI
Date 2022 Feb 25
PMID 35205470
Authors
Affiliations
Soon will be listed here.
Abstract

The DICOM () standard provides a framework for a diagnostically-accurate representation, processing, transfer, storage and display of medical imaging data. Information hiding in DICOM is currently limited to the application of digital media steganography and watermarking techniques on the media parts of DICOM files, as well as text steganographic techniques for embedding information in metadata of DICOM files. To improve the overall security of the DICOM standard, we investigate its susceptibility to network steganographic techniques. To this aim, we develop several network covert channels that can be created by using a specific transport mechanism - the DICOM Message Service and Upper Layer Service. The bandwidth, undetectability and robustness of the proposed covert channels are evaluated, and potential countermeasures are suggested. Moreover, a detection mechanism leveraging entropy-based metrics is introduced and its performance has been assessed.

Citing Articles

A novel and efficient digital image steganography technique using least significant bit substitution.

Rahman S, Uddin J, Hussain H, Shah S, Salam A, Amin F Sci Rep. 2025; 15(1):107.

PMID: 39747911 PMC: 11695990. DOI: 10.1038/s41598-024-83147-3.


: A Framework for Discerning Services on Remote Medical Devices.

Kim G, Kim D, Seo J, Lee S, Song W Sensors (Basel). 2024; 24(23).

PMID: 39686007 PMC: 11644637. DOI: 10.3390/s24237470.

References
1.
Mantos P, Maglogiannis I . Sensitive Patient Data Hiding using a ROI Reversible Steganography Scheme for DICOM Images. J Med Syst. 2016; 40(6):156. DOI: 10.1007/s10916-016-0514-5. View

2.
Tan C, Ng J, Xu X, Poh C, Liang Guan Y, Sheah K . Security protection of DICOM medical images using dual-layer reversible watermarking with tamper detection capability. J Digit Imaging. 2010; 24(3):528-40. PMC: 3092037. DOI: 10.1007/s10278-010-9295-4. View

3.
Reeves A, Xie Y, Liu S . Large-scale image region documentation for fully automated image biomarker algorithm development and evaluation. J Med Imaging (Bellingham). 2017; 4(2):024505. PMC: 5462336. DOI: 10.1117/1.JMI.4.2.024505. View

4.
Desjardins B, Mirsky Y, Ortiz M, Glozman Z, Tarbox L, Horn R . DICOM Images Have Been Hacked! Now What?. AJR Am J Roentgenol. 2019; 214(4):727-735. DOI: 10.2214/AJR.19.21958. View

5.
Bidgood Jr W, Horii S, Prior F, Van Syckle D . Understanding and using DICOM, the data interchange standard for biomedical imaging. J Am Med Inform Assoc. 1997; 4(3):199-212. PMC: 61235. DOI: 10.1136/jamia.1997.0040199. View