Dear All,
I am just finished my Masters degree in Information Security and would like to continue higher studies (PHD) in digital forensic area. My special interest are in mobile device, smart and embedded device forensics areas.
I would like to know suggestions or directions to new research focuses in the field to find out a possible research topic for PHD.
Your assistance is highly appreciated.
Thank you.
You should go for less explored & promising arena such as Wearable technology(Android Wear , etc) Forensics or Smart TV Forensics.
I would like to know suggestions or directions to new research focuses in the field to find out a possible research topic for PHD.
Go with your interests – that's probably where your motivation lies. I'm not sure to what extent research is needed, though, or if it will be anywhere close to the level I would want PhD work to reach. Those questions are better discussed with a thesis advisor.
I've been looking at some ZigBee devices recently. They were surveillance devices, connected by wireless network; not the usual WiFi kind, but the WPAN kind (802.15). These devices collect information (IR motion detection, IP camera, door sensors, etc.), and send it on to a local gateway, which is connected to a traditional LAN, and which sends the events/alerts/etc on to an end host for processing or storage.
A related area are the WPAN locks that recently have appeared or are very close to being put on the market, such as Noke padlock from Fuz Design, or the August Smart Lock.
You may wish to consider the process of
(a) examination of mobile/feature/smart phones, embedded devices etc with respect to
(b) evidential examination aligned to iso17025 et al with specific attention interest and engagement to
© Metrology - tools used, processes in place and procedures followed
(d) to determine possible impact on evidential results and outcomes.
There is little published study in this area for digital forensics.
The devices you listed are mostly what I work on.
The two hardest areas I have are in acquisition, and "normalization" or interpreting acquired data into a format whereby "generic" tools can be used on them.