AZSPM: Autonomic Zero-Knowledge Security Provisioning Model for Medical Control Systems in Fog Computing Environments

Junaid Chaudhry, Kashif Saleem, Rafiqul Islam, Ali Selamat, Mudassar Ahmad, Craig Valli

Research output: Book chapter/Published conference paperConference paper

5 Citations (Scopus)

Abstract

The panic among medical control, information, and device administrators is due to surmounting number of high-profile attacks on healthcare facilities. This hostile situation is going to lead the health informatics industry to cloud-hoarding of medical data, control flows, and site governance. While different healthcare enterprises opt for cloud-based solutions, it is a matter of time when fog computing environment are formed. Because of major gaps in reported techniques for fog security administration for health data i.e. absence of an overarching certification authority (CA), the security provisioning is one of the the issue that we address in this paper. We propose a security provisioning model (AZSPM) for medical devices in fog environments. We propose that the AZSPM can be build by using atomic security components that are dynamically composed. The verification of authenticity of the atomic components, for trust sake, is performed by calculating the processor clock cycles from service execution at the resident hardware platform. This verification is performed in the fully sand boxed environment. The results of the execution cycles are matched with the service specifications from the manufacturer before forwarding the mobile services to the healthcare cloud-lets. The proposed model is completely novel in the fog computing environments. We aim at building the prototype based on this model in a healthcare information system environment.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 42nd Conference on Local Computer Networks Workshops
Subtitle of host publicationLCN Workshops 2017
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages121-127
Number of pages7
ISBN (Electronic)9781509065837
DOIs
Publication statusPublished - 16 Nov 2017
Event2017 42nd IEEE Conference on Local Computer Networks: LCN Workshops 2017 - Four Points by Sheraton Singapore, Riverview, Singapore, Singapore
Duration: 09 Oct 201712 Oct 2017
https://www.ieeelcn.org/prior/LCN42/index.html (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8108701 (Conference proceedings)

Conference

Conference2017 42nd IEEE Conference on Local Computer Networks
CountrySingapore
CitySingapore
Period09/10/1712/10/17
OtherThe IEEE LCN conference is the premier conference on theoretical and practical aspects of computer networking. LCN is highly interactive, enabling an effective interchange of results and ideas among researchers, users, and product developers. Major developments from high-speed networks to the global Internet to specialized sensor networks have been reported at past LCNs.
Internet address

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    Chaudhry, J., Saleem, K., Islam, R., Selamat, A., Ahmad, M., & Valli, C. (2017). AZSPM: Autonomic Zero-Knowledge Security Provisioning Model for Medical Control Systems in Fog Computing Environments. In Proceedings of the 2017 IEEE 42nd Conference on Local Computer Networks Workshops: LCN Workshops 2017 (pp. 121-127). [8110213] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LCN.Workshops.2017.73