Blockchain based approach to enhance big data authentication in distributed environment
Abstract
Existing authentication protocols for Big Data system such as Apache Hadoop is based on Kerberos. In the Kerberos protocol, there are numerous security issues that have remained unsolved; replay attacks, DDoS and single point of failure are some examples. These indicate potential security vulnerabilities and Big Data risks in using Hadoop. This paper presents drawbacks of Kerberos implementations and identifies authentication requirements that can enhance the security of Big Data in distributed environments. The enhancement proposed is based on the rising technology of blockchain that overcomes shortcomings of Kerberos.
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In a blockchain-based edge computing application, blockchain is used to avoid allocating the same frequency to multiple network providers, preventing resource double-spending.
“the blockchain is used to avoid allocating the same frequency to multiple network providers (i.e., prevent resource doublespending)”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [136]
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- Authors
- Abdullah, N., Hakansson, A., & Moradian, E.
- Affiliations
- KTH Royal Institute of Technology (SE)
- Stockholm University (SE)
- Venue
- 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)
- Publisher
- IEEE
- Published
- 2017-07
- Pages
- 887-892
- OpenAlex
- W2741141507
- Cited by
- 72
- References
- 28
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 6 · 2023: 13 · 2022: 2 · 2021: 17 · 2020: 12 · 2019: 13 · 2018: 5
- FWCI
- 6.30
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Ubiquitous and Future Networks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Keywords
- blockchain, Kerberos protocol, Hadoop, replay attacks, DDoS attacks, single point of failure, distributed systems security, authentication protocols
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