International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Privacy-Preserving Data Storage in Cloud Databases using Cryptographic Techniques Ashish Kumar Mishra1, Deepshikha2 1Master of Technology, Computer Science and Engineering, Lucknow Institute of Technology, Lucknow, India 2Assistant Professor, Department of Computer Science and Engineering, Lucknow Institute of Technology,
Lucknow, India ---------------------------------------------------------------------***--------------------------------------------------------------------1. INTRODUCTION Abstract - Cloud databases have increasingly come to play a major role in the demands of handling large, sensitive data in a number of spheres, including health, finances and online shops. Turning to third-party cloud is however bringing about serious challenges of data access and control, security and compliances. This study presents an innovation of the new hybrid cryptographic system that can ascertain privacy-preservation of data storage and query processing in cloud databases. The framework integrates AES-256 to do fast encryptions of the data that is going to remain static, backward in the fog like partial homomorphic encryption (PHE) to do the secure calculations of the sensitive field, and the dynamic searchable symmetric encryption (DSSE) to perform the encrypted search operations over keywords, and over the range searches. The support of post-quantum cryptography is fulfilled by bringing in the collaboration of CRYSTALS-Kyber to make secure key exchanges. As well, Hyperledger Fabric-based auditability ensures that it is possible to automate regulation compliance (GDPR, CCPA, etc.) by means of which data deletion and control of consent can be proved in compliance with the requirements. The prototype is hosted using Amazon Aurora and GPU-accelerated encryption and the Intel SG X-based caching is used to increase the performance. Experiments show that it is possible to process encrypted queries efficiently (latency = 220 ms), aggregations in a secure manner (processing 100,000 records takes 8 seconds), and go through automation of GDPR compliance in under 3.2 minutes. The practicality of the framework can be pointed out as displayed in case studies in the field of health care and financing. Here, we can find out that a combination of many strategies of cryptography can be used to keep the privacy and at the same time not affecting the usability, scalability, and adherency of a regulatory aspect of clouds.
1.1 Background Cloud computing has changed the way data is managed because cloud infrastructure is scalable, cost-efficiency and can be accessed anywhere in the world. With organizations skewing heavily to use cloud databases to store, process and analyse their important data, the healthcare, finance and e-commerce companies have become over dependent on the third party cloud services provider like Amazon Web Services (AWS), Microsoft Azure and the Google Cloud. Such cloud platforms are based on more advanced data analytics, high availability, and on-demand scalability, and so the business can handle high amounts of sensitive information in an efficient answer. But such a move to the cloud poses great threats to data privacy and security as well. Trust dependencies that exist as a result of using third-party infrastructure mean that the management of data confidentiality by the cloud providers is not an exception. In turn, all such sensitive data as medical records, financial transactions, and person identifiers are exposed to accidental and intentional data leakage, insider threat, and breaches caused due to incorrectly implemented data storage, credential compromise, or side-channel attacks. The quest to create a secure yet privacy-respecting cloud data architecture has become crucial considering the stiff regulatory regulation across the world.
1.2 Motivation AES (Advanced Encryption Standard) and RSA (RivestShamirAdleman), which are regular cryptographic methods, have served a great role in protection of static information and secure exchange of keys. But these are not applicable in the case of functional adpatations where encrypted data must be queried, searched or processed without respective decryption. An example here is that, although AES is efficient in encrypting large quantities of data, it fails to support other operations like searching and aggregations among the ciphertexts. Similarly, RSA is also computationally demanding and cannot sustain dynamic workloads which are of large scale in a cloud. These shortages have brought about the trade-off between security and usability that organizations are always
Key Words: Cloud database security, hybrid encryption, homomorphic encryption, searchable encryption, privacypreserving computation, post-quantum cryptography, GDPR compliance, blockchain auditability.
© 2025, IRJET
|
Impact Factor value: 8.226
|
ISO 9001:2008 Certified Journal
|
Page 627