Performance and Security Challenges Digital Rights Management (DRM) Approaches Using Fog Computing for Data Provenance: A Survey

Author:

Hussain Ali,Kiah Miss Laiha Mat,Anuar Nor Badrul,Md Noor Rafidah,Ahmad Muneer

Abstract

Over the past few years, the cloud based storage providers such as Google drive, OneDrive, Box and Dropbox are increasingly being used to store users personal profile based data, which users could share over cloud storage devices. Immediately, the users data leaves the user premises and enters the cloud storage, the user has lost all the control over its data, and even when that data is further shared for the purposes of collaboration. Digital rights management (DRM) for Content hosted in Cloud based storage covers technologies related devices that protects the digital assets stored in cloud by enforcing the permission regulator, and when the data is in collaboration. This is important to protect healthcare (Fiaz, M., et al., 2019. Social media news classification in healthcare communication. Journal of Medical Imaging and Health Informatics, 9(6), pp.1215–1223; Irfan, R., et al., 2019. Ontology learning in text mining for handling big data in healthcare systems. Journal of Medical Imaging and Health Informatics, 9(4), pp.649–661; Ikram Ullah, L. and Ali Shariq, I., 2019. A special section on effectiveness of search engine and social networking data in healthcare systems. Journal of Medical Imaging and Health Informatics, 9(4), pp.647–648; Preethi, P. and Asokan, R., 2019. A high secure medical image storing and sharing in cloud environment using hex code cryptography methodsecure genius. Journal of Medical Imaging and Health Informatics, 9(7), pp.1337–1345; Shahzad, B., et al., 2017. Finding healthcare issues with search engine queries and social network data. International Journal of Semantic Web and Information System, 13(1), pp.48–62; Saleem, K., et al., 2015. Human-oriented design of secure machine-to-machine communication system for e-Healthcare society. Computers in Human Behaviour, 51, pp.977–985.) data from being misused by authorized and unauthorized entities. To implement DRM in cloud, these Authors have proposed encryption based solution. Due to the distributed nature of cloud it is suitable for the real time data transportation. However, DRM process requires performance that is close to real time. This paper summarized the current state of the research in Digital Rights Management and leveraged Fog computing in DRM. This is to meet the new performance requirements for next-generation distribution networks, in terms of performance metrics, such as energy consumption, traffic delay, and network throughput, as required by in large and heterogonous Cloud solutions (Preethi, P. and Asokan, R., 2019. A high secure medical image storing and sharing in cloud environment using hex code cryptography methodsecure genius. Journal of Medical Imaging and Health Informatics, 9(7), pp.1337–1345.) as data storage system.

Publisher

American Scientific Publishers

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Privacy preserving content distribution framework for multidistributor DRM systems;SECURITY AND PRIVACY;2023-06-15

2. Considerations on Evaluation of Practical Cloud Data Protection;Communications in Computer and Information Science;2022

3. Adaptive Encryption Model of Internet Public Opinion Information Based on Big Data;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021

4. Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art;Security and Privacy;2020-12-30

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