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Resumo(s)
Cloud computing is adopted by most organizations due to its characteristics, namely
offering on-demand resources and services that can quickly be provisioned with minimal
management effort and maintenance expenses for its users. However it still suffers from
security incidents which have lead to many data security concerns and reluctance in
further adherence. With the advent of these incidents, cryptographic technologies such
as homomorphic and searchable encryption schemes were leveraged to provide solutions
that mitigated data security concerns.
The goal of this thesis is to provide a set of secure abstractions to serve as a tool for
programmers to develop their own distributed applications. Furthermore, these abstractions
can also be used to support trusted cloud computations in the context of NoSQL
data stores. For this purpose we leveraged conflict-free replicated data types (CRDTs) as
they provide a mechanism to ensure data consistency when replicated that has no need
for synchronization, which aligns well with the distributed and replicated nature of the
cloud, and the aforementioned cryptographic technologies to comply with the security
requirements. The main challenge of this thesis consisted in combining the cryptographic
technologies with the CRDTs in such way that it was possible to support all of the data
structures functionalities over ciphertext while striving to attain the best security and
performance possible.
To evaluate our abstractions we conducted an experiment to compare each secure
abstraction with their non secure counterpart performance wise. Additionally, we also
analysed the security level provided by each of the structures in light of the cryptographic
scheme used to support it. The results of our experiment shows that our abstractions
provide the intended data security with an acceptable performance overhead, showing
that it has potential to be used to build solutions for trusted cloud computation.
Descrição
Palavras-chave
Trusted cloud computing Homomorphic Encryption Searchable Encryption Data Abstractions CRDTs
