6.3 The Data Lake
As already said, the Data Lake is implemented
through IPFS. When a user publishes a new artwork,
this is added to the Data Lake, where it is identified
through a unique description hash that guarantees that
information is not changed without a corresponding
update transaction. The same description hash is also
stored in the blockchain, together with some basic in-
formation (such as the artwork author) and its status.
7 CONCLUSIONS AND FUTURE
WORK
In this paper we have described MApp, a blockchain-
based application, aimed to be an aid for the protec-
tion of minor artworks. We have described numerous
advantages of the use of blockchain to protect Cul-
tural Heritage. First of all, a blockchain is intrinsi-
cally distributed, in the sense that data are not hosted
by a single central authority, thus all the information
it stores is replicated on all the nodes of the network.
This means that there is no single point of failure, so
the archive is protected against accidental data loss or
malicious attempts to erase information during a theft.
In addition, in case of artworks destruction, caused
for example by a natural disaster, the blockchain may
contribute to keep the artworks memory for an indef-
inite period of time. Secondly, only authorized users
can add/update artworks, thus preventing counterfeit-
ing of the descriptions, and all the changes to the art-
work description are documented and remain trace-
able in case of audits. It is worth mentioning, though,
that identity authentication is performed by checking
if a transaction is signed with a correct private key.
That is, identity is associated with key ownership,
with no guarantees over the real identity of the owner
of that key. As future work, we would like to vali-
date the implemented solution through experiments,
and test it in a real use-case, i.e. to store objects con-
tained in local and small museums. In addition, we
would like to test the benefits of implementing the
system using another type of blockchain, such as Hy-
perledger
14
.
ACKNOWLEDGEMENTS
We would like to thank Lukasz Szczygiel for his the-
sis work in the implementation of MApp.
14
https://www.hyperledger.org/ Access Date: 2019-07-29
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