Towards Model-Based Development of Decentralised Peer-to-Peer Data Vaults

Alfa Yohannis; Alfonso De La Vega; Delaram Kahrobaei; Dimitris Kolovos

doi:10.1145/3417990.3420043

Towards Model-Based Development of Decentralised Peer-to-Peer Data Vaults

Alfa Yohannis, Alfonso De La Vega, Delaram Kahrobaei, Dimitris Kolovos

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Using centralised data storage systems has been the standard practice followed by online service providers when managing the personal data of their users.
This method requires users to trust these providers and, to some extent, users are not in full control over their data.
The development of applications around decentralised data vaults, i.e., encrypted storage systems located in user-managed devices, can give this control back to the users as sole owners of the data.
However, the development of such applications is not effort-free, and it requires developers to have specialised knowledge, such as how to deploy secure and peer-to-peer communication systems.
We present Vaultage, a model-based framework that can simplify the development of data vault applications.
We demonstrate its core features through a social network application case study and include some initial evaluation results, showing Vaultage's code generation capabilities and some profiling analysis of the generated network components.

Original language	English
Title of host publication	ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS)
Publisher	ACM
Number of pages	8
ISBN (Print)	9781450381352
DOIs	https://doi.org/10.1145/3417990.3420043
Publication status	Published - 18 Oct 2020
Event	ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS) - Duration: 16 Oct 2020 → 23 Oct 2020 http://www.modelsconference.org

Conference

Conference	ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS)
Period	16/10/20 → 23/10/20
Internet address	http://www.modelsconference.org

Bibliographical note

© 2020 Association for Computing Machinery. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Access to Document

10.1145/3417990.3420043

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© 2020 Association for Computing Machinery. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Accepted author manuscript, 1.1 MB

Cite this

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title = "Towards Model-Based Development of Decentralised Peer-to-Peer Data Vaults",

abstract = "Using centralised data storage systems has been the standard practice followed by online service providers when managing the personal data of their users.This method requires users to trust these providers and, to some extent, users are not in full control over their data.The development of applications around decentralised data vaults, i.e., encrypted storage systems located in user-managed devices, can give this control back to the users as sole owners of the data.However, the development of such applications is not effort-free, and it requires developers to have specialised knowledge, such as how to deploy secure and peer-to-peer communication systems.We present Vaultage, a model-based framework that can simplify the development of data vault applications.We demonstrate its core features through a social network application case study and include some initial evaluation results, showing Vaultage's code generation capabilities and some profiling analysis of the generated network components.",

author = "Alfa Yohannis and {De La Vega}, Alfonso and Delaram Kahrobaei and Dimitris Kolovos",

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year = "2020",

month = oct,

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doi = "10.1145/3417990.3420043",

language = "English",

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Yohannis, A , De La Vega, A , Kahrobaei, D & Kolovos, D 2020, Towards Model-Based Development of Decentralised Peer-to-Peer Data Vaults. in ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS). ACM, ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS), 16/10/20. https://doi.org/10.1145/3417990.3420043

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AU - De La Vega, Alfonso

AU - Kahrobaei, Delaram

AU - Kolovos, Dimitris

N1 - © 2020 Association for Computing Machinery. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

PY - 2020/10/18

Y1 - 2020/10/18

N2 - Using centralised data storage systems has been the standard practice followed by online service providers when managing the personal data of their users.This method requires users to trust these providers and, to some extent, users are not in full control over their data.The development of applications around decentralised data vaults, i.e., encrypted storage systems located in user-managed devices, can give this control back to the users as sole owners of the data.However, the development of such applications is not effort-free, and it requires developers to have specialised knowledge, such as how to deploy secure and peer-to-peer communication systems.We present Vaultage, a model-based framework that can simplify the development of data vault applications.We demonstrate its core features through a social network application case study and include some initial evaluation results, showing Vaultage's code generation capabilities and some profiling analysis of the generated network components.

AB - Using centralised data storage systems has been the standard practice followed by online service providers when managing the personal data of their users.This method requires users to trust these providers and, to some extent, users are not in full control over their data.The development of applications around decentralised data vaults, i.e., encrypted storage systems located in user-managed devices, can give this control back to the users as sole owners of the data.However, the development of such applications is not effort-free, and it requires developers to have specialised knowledge, such as how to deploy secure and peer-to-peer communication systems.We present Vaultage, a model-based framework that can simplify the development of data vault applications.We demonstrate its core features through a social network application case study and include some initial evaluation results, showing Vaultage's code generation capabilities and some profiling analysis of the generated network components.

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