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Investigating big data healthcare security issues with raspberry Pi

  • University of Bedfordshire
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Sustainable Development Goals

  • SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Abstract

Big Data on Cloud application is growing rapidly. When cloud is attacked, one of the solutions is to get digital forensics evidence. This paper proposed data collection via raspberry pi (RP) devices, assume in a healthcare situation [18]. The significance of this work is it could be expanded into a digital device array that takes big data security issues into account. There are many potential impacts in health area. The field of Digital Forensics Science has been tagged as a reactive science by some who believe research and study in the field often arise as a result of the need to respond to event which brought about the needs for investigation; this work was carried as a proactive research that will add knowledge to the field of Digital Forensic Science. The raspberry pi is a cost effective, pocket sized computer that has gained global recognition since its development in 2008, with the wide spread usage of the device for different computing purposes. It is safe to assume that the device will be a topic of forensic investigation in the nearest future. This work has used a systematic approach to study the structure and operation of the device and has established security issues that the widespread usage of the device can pose, such as health or smart city. As well as its evidential information that will be useful in the event that the device becomes a subject of digital forensic investigation in the foreseeable future.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2329-2334

Publication milestones

  • Published - 28/12/2015

Publication status

Published - 28/12/2015

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781509001545

External Publication IDs

  • handle.net: 10547/624214
  • Scopus: 84964207162

Host publication title

Investigating Big Data Healthcare Security Issues with Raspberry Pi

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