Exploring Security Features of Attribute-Based Multi-Keyword Search Schemes for Encrypted Data

Authors

  • Archana Ibitdar  Department of CSE-IT, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Ashwini Kale  Department of CSE-IT, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Prajakta Bagade  Department of CSE-IT, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Priya Kale  Department of CSE-IT, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Supriya Sawwashere  Department of CSE-IT, JD College of Engineering and Management, Nagpur, Maharashtra, India

Keywords:

Keyword Search, Encrypted Data, Cloud Computing, Data Privacy, Security.

Abstract

In the ever-expanding digital landscape, preserving the confidentiality of sensitive data is of paramount importance. One prominent approach is Attribute-Based Multi Keyword Search (ABKS), which allows users to search encrypted data efficiently while maintaining privacy. This paper presents a comprehensive comparative analysis of three standard methods in the realm of ABKS: Ciphertext-policy attribute-based encryption (CP-ABE), Homomorphic encryption (HE), and Fuzzy keyword search. We evaluate these methods across multiple performance metrics, including accuracy, precision, recall, execution time, storage overhead, security level, scalability, and usability. Our results demonstrate that CP-ABE emerges as the best performer, excelling in terms of accuracy, precision, recall, and storage efficiency. This method ensures a high level of security, making it suitable for applications requiring robust data protection. While Homomorphic encryption also provides commendable security, it lags in terms of execution time and storage overhead. Fuzzy keyword search, on the other hand, exhibits moderate performance with a balance between security and usability. This research sheds light on the strengths and weaknesses of these ABKS methods, enabling stakeholders to make informed decisions when selecting an encryption scheme tailored to their specific requirements. Furthermore, our findings highlight the ever-increasing significance of CP-ABE in the domain of encrypted keyword search, promising enhanced data privacy and efficient information retrieval in modern data-driven environments.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-10-30

Issue

Volume 10, Issue 5, September-October-2023

Section

Research Articles

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How to Cite

[1]
Archana Ibitdar, Ashwini Kale, Prajakta Bagade, Priya Kale, Supriya Sawwashere "Exploring Security Features of Attribute-Based Multi-Keyword Search Schemes for Encrypted Data" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 5, pp.47-57, September-October-2023.