Data Security in the Cloud Using pTree-based Homomorphic Intrinsic Data Encryption System (pHIDES)

7 pages•Published: March 21, 2024

Abstract

Cloud usage for storing data and performing operations has gained immense popularity in recent times. However, there are concerns that uploading data to the cloud increases the chances of unauthorized parties accessing it. One way to secure data from unauthorized access is to encrypt it. Even if the data is hacked, the hackers will not be able to retrieve any information from the data without knowing the 'Key' to decrypt it. But when data needs to be used for services such as data analytics, it must be in its original, non-encrypted form. Decrypting the data makes it vulnerable again, which is why Homomorphic Encryption could be the solution to this problem. In this encryption method, the analytical engine can use the encrypted data to perform analysis, where the analysis result will also be in decrypted form. Only authorized users can access the results using the 'Key.' This research proposal proposes a method called pHIDES to enhance data security in the cloud. The pHIDES (pTree-based Homomorphic Intrinsic Data Encryption System) represents data in pTree (Predicate tree) format, a data mining-ready data structure proven to manipulate a large volume of data effectively. The concept of Homomorphic Encryption (HME) along with pHIDES is discussed in our research, along with the algorithmic execution to analyze the effectiveness of the algorithm used to encrypt data in the cloud.

Keyphrases: Cloud, Data Security, Encryption, Homomorphic, pTree

In: Ajay Bandi, Mohammad Hossain and Ying Jin (editors). Proceedings of 39th International Conference on Computers and Their Applications, vol 98, pages 200--206

Links:	https://easychair.org/publications/paper/1dJC
	https://doi.org/10.29007/8cqg