Investigating big data healthcare security issues with raspberry Pi

Xiaohua Feng; Babatunde Onafeso; Enjie Liu

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.344

Investigating big data healthcare security issues with raspberry Pi

Xiaohua Feng
, Babatunde Onafeso
, Enjie Liu

Institute for Research in Applicable Computing (IRAC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2329-2334
ISBN (Print)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.344
Publication status	Published - 28 Dec 2015
Event	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing - Liverpool Duration: 26 Oct 2015 → 28 Oct 2015

Conference

Conference	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
City	Liverpool
Period	26/10/15 → 28/10/15
Other	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (26/10/2015-28/10/2015, Liverpool)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Raspberry-pi application
IoTs
healthcare
Big Data forensics

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10.1109/CIT/IUCC/DASC/PICOM.2015.344

https://ieeexplore.ieee.org/document/7363390

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Cite this

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title = "Investigating big data healthcare security issues with raspberry Pi",

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.",

keywords = "Raspberry-pi application, IoTs, healthcare, Big Data forensics",

author = "Xiaohua Feng and Babatunde Onafeso and Enjie Liu",

year = "2015",

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day = "28",

doi = "10.1109/CIT/IUCC/DASC/PICOM.2015.344",

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pages = "2329--2334",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing ; Conference date: 26-10-2015 Through 28-10-2015",

}

Feng, X, Onafeso, B & Liu, E 2015, Investigating big data healthcare security issues with raspberry Pi. in nan. Institute of Electrical and Electronics Engineers Inc., pp. 2329-2334, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, Liverpool, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.344

TY - GEN

T1 - Investigating big data healthcare security issues with raspberry Pi

AU - Feng, Xiaohua

AU - Onafeso, Babatunde

AU - Liu, Enjie

PY - 2015/12/28

Y1 - 2015/12/28

N2 - 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.

AB - 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.

KW - Raspberry-pi application

KW - IoTs

KW - healthcare

KW - Big Data forensics

U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.344

DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.344

M3 - Conference contribution

SN - 9781509001545

SP - 2329

EP - 2334

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing

Y2 - 26 October 2015 through 28 October 2015

ER -

Investigating big data healthcare security issues with raspberry Pi

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UN SDGs

Keywords

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