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A New Encryption Strategy for HBase in Cloud-Based Big Data Platforms

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(3), pp.87~93
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : May 2, 2025
  • Accepted : June 11, 2025
  • Published : June 30, 2025

Song Min Gu 1

1예원예술대학교

Accredited

ABSTRACT

With the advent of the big data era, there is a growing demand for real-time and efficient data processing. Cloud computing technologies offer significant advantages in handling big data, enhancing the efficiency of data processing and increasing the value of various applications and services. However, in cloud environments, security vulnerabilities exist in HBase, which is commonly used as a storage system for big data platforms. To address this issue, hardware-based encryption (HSM) can be applied as a solution. HSM provides strong security by performing encryption operations within dedicated hardware, but it also imposes network overhead due to external processing. To mitigate this drawback, we propose a hybrid encryption approach that classifies column families based on the sensitivity of personal information through clustering analysis, and selectively applies hardware-based encryption or Transparent Data Encryption (TDE) according to the sensitivity level. The effectiveness of the proposed encryption method, in terms of both performance and security, is verified through simulation.

Citation status

* References for papers published after 2023 are currently being built.