Title :
Investigating Big Data Healthcare Security Issues with Raspberry Pi
Author :
Xiaohua Feng;Babatunde Onafeso;Enjie Liu
Author_Institution :
Univ. of Bedfordshire, Luton, UK
Abstract :
Big Data on Cloud application is growing rapidly. When cloud is attacked, one of the solutions is to get digitalforensics evidence. This paper proposed data collection viaraspberry pi (RP) devices, assume in a healthcare situation [18].The significance of this work is it could be expanded into adigital device array that takes big data security issues intoaccount. There are many potential impacts in health area. Thefield of Digital Forensics Science has been tagged as areactive science by some who believe research and studyin the field often arise as a result of the need to respond toevent which brought about the needs for investigation, this work was carried as a proactive research that willadd knowledge to the field of Digital Forensic Science. The raspberry pi is a cost effective, pocket sized computerthat has gained global recognition since its development in2008, with the wide spread usage of the device fordifferent computing purposes. It is safe to assume thatthe device will be a topic of forensic investigation in thenearest future. This work has used a systematic approachto study the structure and operation of the device and hasestablished security issues that the widespread usage ofthe device can pose, such as health or smart city. As wellas its evidential information that will be useful in theevent that the device becomes a subject of digital forensics investigation in the foreseeable future.
Keywords :
"Digital forensics","Computers","Security","Law enforcement","Big data","DNA"
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.344