Secure Cloud Data Storage System using Hybrid Paillier-Blowfish Algorithm

Abstract

Cloud computing utilizes enormous clusters of serviceable and manageable resources that can be virtually and dynamically recon gured in order to deliver optimum resource utilization by exploiting the pay-per-use model. However, concerns around security have been an impediment in the extensive adoption of the cloud computing model. In this regard, advancements in cryptography, accelerated by the wide usage of the internet worldwide, has emerged as a key area in addressing some of these security concerns. In this document, a hybrid cryptographic protocol deploying Blow sh and Paillier encryption algorithms has been presented and its strength compared with the existing hybrid Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA) techniques. Algorithms for secure data storage protocol in two phases have been presented. The proposed hybrid protocol endeavors to improve the power of cloud storage through a decrease in computation time and ciphertext size. Simulations have been carried out with Oracle Virtual Box and Fog server used on an Ubuntu 16.04 platform. This grouping of asymmetric and homomorphic procedures has demonstrated enhanced security. Compression usage has helped in decreasing the storage space and computation time. Performance analysis in terms of computation overhead and quality of service parameters like loads of parameters with and without attacks, throughput, and stream length for different modes of block cipher mode has been carried out. Security analysis has been carried out by utilizing the Hardening Index as an audit parameter using Lynis 2.7.1. Similarly, for halting the aforementioned approaches and for regulating traf c, rewall protection has been generated in the chosen hybrid algorithms. Finally, enhancements in the performance of the Paillier and Blow sh hybrid scheme with and without compression

Cloud security: literature survey

“…The comparison study is made between the methods and hence proved that the proposed method takes less time to encrypt and decrypt the health care files. [6] Paillier and Blowfish without compression, Paillier and Blowfish with Compression, RSA and AES The methodology proves 28% more efficient than the combined RSA and AES approach which also maintains the confidentiality, integrity and accessibility against anticipated attacks. [7] CRT-RSA, HE-CRT-RSA The results obtained for encryption and decryption time of the proposed method are compared with the conventional RSA algorithm and could find that the proposed method result in good output but the level of security and authentication is not analyzed.…”

“…Lastly in the physical layer Swarm storage is used where the data is stored after encryption of the file using the AES. Seth et al [6] proposed the hybrid encryption algorithm which is constructed to make competent and safe data transfer over the cloud. The plain text is split into n fragments and for each fragment the Paillier Encryption homomorphic algorithm is applied and the encrypted data is sent over the cloud.…”

A Review on Challenges in Cloud Computing Security and Recent Researchs

“…Çok otoriteli özellik tabanlı şifreleme şemalarının kaynak kısıtı bulunan cihazlar için uygun olmadığı noktasından hareketle, çalışmada [51], kaldırılabilir çok otoriteli özellik tabanlı şifreleme (RMA-ABE) şeması önerilmiştir. Hibrit Pailler-Blowf is h algoritmasının kullanıldığı çalışmada [52], hesaplama zamanı ve şifreli metin uzunluğu azaltılarak, çoklu bulut ortamlarının da dahil olduğu bulut senaryolarında etkin bir depolama sağlanması amaçlanmıştır. Çalışmada [53], uygulamalara özel arama gereksinimlerini erişilebilir kılan birkaç farklı veri şifreleme şemasını destekleyen, sorgulama ve analitik hesaplamaları mümkün kılan , NoSQL veri tabanları için kullanıcı tanımlı fonksiyonları destekleyen CryptDICE sistemi sunulmuştur.…”

Adaptive Scheduling Algorithm Based Task Loading in Cloud Data Centers

“…Pal et al [26] have discussed resource migration algorithm cloud migration environment. S. Jeyalaksshmi et al [27] have discussed that Reliability Profile algorithms are used in Virtual Machine mapping and allotment in Volunteer Cloud systems [28]- [34]. S. Pal et al [35] have shown acclimatization of Johnson Sequencing in a Cloud Computing Environment for Job Scheduling to Reduce Average Waiting Time.…”