Hello everyone,
I am a Graduate student at the University of Amsterdam, and am currently finishing my Master’s degree in Cyber Security. The topic that I am researching is data traceability of satellite data. I work with Airbus to research how viable it is to trace satellite data, as it is processed from raw data (level 0) to usable data (level 3 or 4) that for instance, weather websites use. So at each step of the processing phase, I need to be able to verify that it originated from the previous dataset.
This has some resemblances to the copyright of digital data but focuses more on verifying the origin of the data than protecting the data from being copied without the owner’s knowledge.
My research is called “How viable is a Blockchain based production traceability system for satellite data?”
The main research topic here, how to track and trace data sets, is something that I can not find much about. Therefore, I was hoping that any of you might be able to give me some recommendations where to search, tips on which (scientific) articles to read, or just a general direction.
- Log in to post comments
- 5020 reads
Author: Darren Bell
Date: 09 Feb, 2018
Hi Sandino - this is an emerging topic of interest for us at the UK Data Service in the context of guaranteeing the integrity of provenance chains for datasets. One paper I've found helpful is from MIT where they are prototying a blockchain solution (called MedRec) for audit and provenance of electronic health records: http://dci.mit.edu/assets/papers/eckblaw.pdf . A different domain to yours obviously but may provide some real-world guidance. Best, Darren
Author: Nicholas Car
Date: 12 Feb, 2018
Hi Sandino,
Here is a recently published Masters Thesis done at the German Aerospace agency DLR that is likely to be of interest to you using semantic provenance models (PROV) and blockchain:
Trustworthy Provenance Recording using a blockchain-like database
http://elib.dlr.de/111772/1/thesis.pdf
I have personally done some work on block chaining (sequential hashing) of provenance graphs contributed to a single, large, provenance store made of multiple Named Graphs (one for each contributed graph). This is so that each contribution to an overall provenance chain can be double signed (sender and the receiving system) thus ensuring that the overall provenance chain is certified by creators and managers. Happy to share more information about that.
Cheers,
Nick
From: <***@***.***-groups.org> on behalf of darrenbell2 <***@***.***>
Date: Saturday, 10 February 2018 at 12:29 am
To: Research Data Provenance <***@***.***-groups.org>
Subject: Re: [rda-researchdataprov-ig] Researching a blockchain based provenance system
Hi Sandino - this is an emerging topic of interest for us at the UK Data Service in the context of guaranteeing the integrity of provenance chains for datasets. One paper I've found helpful is from MIT where they are prototying a blockchain solution (called MedRec) for audit and provenance of electronic health records: http://dci.mit.edu/assets/papers/eckblaw.pdf . A different domain to yours obviously but may provide some real-world guidance. Best, Darren
--
Full post: https://rd-alliance.org/group/research-data-provenance/post/researching-...
Manage my subscriptions: https://rd-alliance.org/mailinglist
Stop emails for this post: https://rd-alliance.org/mailinglist/unsubscribe/58873