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A Comprehensive Robustness Analysis of Storj DCS Under Coordinated DDoS Attack

Kundu, Rohon LU ; Gehrmann, Christian LU and Kihl, Maria LU (2023) 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS) p.659-666
Abstract
Decentralized Cloud Storage (DCS) is considered to be the future for sustainable data storage within Web 3.0, in which we will move from a single cloud service provider to creating an ecosystem where anybody could be a cloud storage provider. Currently, the cloud storage market is highly dominated by centralized players like Amazon S3, Google Cloud, Box, etc. Decentralized projects like Storj, Filecoin, and Sia have seen rising popularity with the advent of Web 3.0 applications. At the same time, any blockchain network is susceptible to large-scale DDoS attacks. This work focuses on the Storj DCS, where we aimed to analyze the robustness of the system under the influence of a coordinated DDoS attack which can be carried out by an adversary... (More)
Decentralized Cloud Storage (DCS) is considered to be the future for sustainable data storage within Web 3.0, in which we will move from a single cloud service provider to creating an ecosystem where anybody could be a cloud storage provider. Currently, the cloud storage market is highly dominated by centralized players like Amazon S3, Google Cloud, Box, etc. Decentralized projects like Storj, Filecoin, and Sia have seen rising popularity with the advent of Web 3.0 applications. At the same time, any blockchain network is susceptible to large-scale DDoS attacks. This work focuses on the Storj DCS, where we aimed to analyze the robustness of the system under the influence of a coordinated DDoS attack which can be carried out by an adversary or a group of adversaries taking down a set of storage nodes. The novelty of our work lies in threefold: First, we use statistical methods to mathematically model the content distribution as well as the loss of a file or a segment from the system. Our model captures both the cases where we have homogeneous and non-homogeneous nodes. Secondly, we develop a cost-analytic approach to perform a robustness analysis of the Storj system and implement the proposed model in MATLAB. Finally, we calculate the cost of a DDoS attack that the adversary has to incur in order to be successful with the attack. Also, we propose a set of better parametric choices for erasure piece distribution under which the system has proved to be more robust than the parametric values implemented in Storj DCS. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
DDoS Attack, Storj DCS, Robustness, Decentralized Cloud Storage, Data Loss, Security
host publication
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
pages
8 pages
publisher
IEEE Press
conference name
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
conference location
Hainan, China
conference dates
2023-12-17 - 2024-06-21
external identifiers
  • scopus:85190253492
ISBN
979-8-3503-0813-6
979-8-3503-3071-7
DOI
10.1109/ICPADS60453.2023.00102
project
Säkra mjukvaruuppdateringar för den smarta staden
language
English
LU publication?
yes
id
42d094e7-871c-4c62-8ef4-e6df96ad7e10
date added to LUP
2024-06-02 00:42:26
date last changed
2024-06-16 04:42:11
@inproceedings{42d094e7-871c-4c62-8ef4-e6df96ad7e10,
  abstract     = {{Decentralized Cloud Storage (DCS) is considered to be the future for sustainable data storage within Web 3.0, in which we will move from a single cloud service provider to creating an ecosystem where anybody could be a cloud storage provider. Currently, the cloud storage market is highly dominated by centralized players like Amazon S3, Google Cloud, Box, etc. Decentralized projects like Storj, Filecoin, and Sia have seen rising popularity with the advent of Web 3.0 applications. At the same time, any blockchain network is susceptible to large-scale DDoS attacks. This work focuses on the Storj DCS, where we aimed to analyze the robustness of the system under the influence of a coordinated DDoS attack which can be carried out by an adversary or a group of adversaries taking down a set of storage nodes. The novelty of our work lies in threefold: First, we use statistical methods to mathematically model the content distribution as well as the loss of a file or a segment from the system. Our model captures both the cases where we have homogeneous and non-homogeneous nodes. Secondly, we develop a cost-analytic approach to perform a robustness analysis of the Storj system and implement the proposed model in MATLAB. Finally, we calculate the cost of a DDoS attack that the adversary has to incur in order to be successful with the attack. Also, we propose a set of better parametric choices for erasure piece distribution under which the system has proved to be more robust than the parametric values implemented in Storj DCS.}},
  author       = {{Kundu, Rohon and Gehrmann, Christian and Kihl, Maria}},
  booktitle    = {{2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)}},
  isbn         = {{979-8-3503-0813-6}},
  keywords     = {{DDoS Attack; Storj DCS; Robustness; Decentralized Cloud Storage; Data Loss; Security}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{659--666}},
  publisher    = {{IEEE Press}},
  title        = {{A Comprehensive Robustness Analysis of Storj DCS Under Coordinated DDoS Attack}},
  url          = {{http://dx.doi.org/10.1109/ICPADS60453.2023.00102}},
  doi          = {{10.1109/ICPADS60453.2023.00102}},
  year         = {{2023}},
}