Survey on Cloud Database Security: Cryptographic Techniques, Intrusion Detection and Intelligent Defense Mechanisms

The fast development of cloud computing drastically changes the way data is stored and managed and has brought about new security problems. The cloud databases are the backbone of enterprise/ mission-critical apps and also the most vulnerable to threats like Unauthorized access, Data leaks, Insider attacks and Advanced persistent threats. In this paper, we conduct a survey of secure cloud database techniques under three aspects: cryptographic-oriented, intrusion detection system (IDS) and intelligent defense. We analyze Crypto-based Solutions (HE, ABE & blockchain based approach) and demonstrate their applicability to address the formulated problem. We also show what machine learning- and deep learning-based IDS can do for instant detection of advanced attack patterns. Finally, we consider a proactive security builting mechanisms including anomaly detection, access control and privacy preserving models. According to the research trend analysis made before, this survey gives future challenges and opportunities for any strong and intelligent cloud database security mechanism.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-20
DOI
https://doi.org/10.1051/epjconf/202534101015/pdf
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Survey on Cloud Database Security: Cryptographic Techniques, Intrusion Detection and Intelligent Defense Mechanisms

Springer Link (Chiba Institute of Technology)
Cloud Data Security Solutions
article

Survey on Cloud Database Security: Cryptographic Techniques, Intrusion Detection and Intelligent Defense Mechanisms

article en

Abstract

The fast development of cloud computing drastically changes the way data is stored and managed and has brought about new security problems. The cloud databases are the backbone of enterprise/ mission-critical apps and also the most vulnerable to threats like Unauthorized access, Data leaks, Insider attacks and Advanced persistent threats. In this paper, we conduct a survey of secure cloud database techniques under three aspects: cryptographic-oriented, intrusion detection system (IDS) and intelligent defense. We analyze Crypto-based Solutions (HE, ABE & blockchain based approach) and demonstrate their applicability to address the formulated problem. We also show what machine learning- and deep learning-based IDS can do for instant detection of advanced attack patterns. Finally, we consider a proactive security builting mechanisms including anomaly detection, access control and privacy preserving models. According to the research trend analysis made before, this survey gives future challenges and opportunities for any strong and intelligent cloud database security mechanism.

Springer Link (Chiba Institute of Technology)
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Openalex Percentile: Top 28%
Cloud Data Security Solutions
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