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Raspberry Pi Dissertation

Discussion of forensic workstations, write blockers, bridges, adapters, disk duplicators, storage etc. Strictly no advertising of commercial products, please.
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Raspberry Pi Dissertation

Post Posted: Tue Oct 03, 2017 9:19 am

Hi All,

This is my first post here on the forum, so a small bit of background. I am a final year Computer Forensic student who has just started on the dissertation for my final year.

The topic I will be undertaking is to use a SBC such as a Pi in order to aid with a forensic investigation.

My idea for this topic is to create a portable & simple to use device primarily aimed at small labs, the devices will be used to triage USB devices e.g. memory sticks (probably) and compare the contents against a known set of files. If the stick contains any of the known files then they will be flagged and can be analysed further.

My Question is, has anyone out there ever used a device like a Pi for anything forensic related, or does anyone have any comments that can be used in order for me to gauge an audience or to include as part of my initial research?

Thanks

Luke  

L_F123
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Re: Raspberry Pi Dissertation

Post Posted: Tue Oct 03, 2017 10:41 am

If you look at several portable (luggable) forensic devices, they have SoC with some embedded OS.
Disk duplicators, cell phone collecting devices, and many more work this way.

A RasPi solution would be acceptable. Caveat - the RaspPi is truly for prototyping, not for production. A more fine tuned system would be less costly and most likely faster than a generalist solution.  

jhup
Senior Member
 
 
  

Re: Raspberry Pi Dissertation

Post Posted: Tue Oct 03, 2017 3:15 pm

- L_F123
The topic I will be undertaking is to use a SBC such as a Pi in order to aid with a forensic investigation.


Consider a system which has SATA support, so you can image to a sufficient amount of storage.

Performance of these computers is very low, of course, and in most cases resides in the GPU. Maybe you can get a reasonable hash rate to hash the image or create a file set (xml/csv) for each image, if you implement an algorithm on the GPU.  

C.R.S.
Senior Member
 
 

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