Data Security and Privacy Protection in Cloud Computing: A Review

2020 ◽  
pp. 253-257
Author(s):  
J. E. Anusha Linda Kostka ◽  
S. Vinila Jinny
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Privacy Protection ◽  
Security And Privacy

Data Security and Privacy Protection Issues in Cloud Computing

2014 ◽  
Vol 16 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Dr.P.K. Rai ◽  
◽  
R.K. Bunkar ◽  
Vivekananda Mishra
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Privacy Protection ◽  
Security And Privacy

Data Security and Privacy Protection of Cloud Computing

2013 ◽  
Vol 846-847 ◽  
pp. 1570-1573
Author(s):  
Xue Bing Dai ◽  
Zhao Jing Wang ◽  
Yan Zhang
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Privacy Protection ◽  
Security And Privacy ◽  
Cloud Computing Environment ◽  
Cloud Server ◽  
Application Mode ◽  
The Mean ◽  
It Application ◽  
Mean Time

Data security and privacy protection of cloud computing as a new IT application mode are the most valued and concerned issues of the cloud user,and thus of utmost significance to the security of cloud computing. This paper describes and analyzes in detail the risks of data security and privacy showup brought by cloud computing,discusses the protective approaches of data security and privacy in cloud computing environment. Furthermore, this paper based on the newly developed fully homomorphism encryption then proposed a data security scheme which can operate encrypted data directly on cloud server without decrypt while all communication between client and server is encrypted, it can assure data security at the mean time assure the operate efficiency.

scholarly journals Modified Fully Homomorphic Encryption based on Parallel Processing in Cloud Computing

2021 ◽  
pp. 250-262
Author(s):  
Parth Tandel ◽  
Abhinav Shubhrant ◽  
Mayank Sohani
Keyword(s):  
Cloud Computing ◽  
Parallel Processing ◽  
Data Security ◽  
Privacy Protection ◽  
Homomorphic Encryption ◽  
Security And Privacy ◽  
Fully Homomorphic Encryption ◽  
Privacy And Security ◽  
Encrypted Data ◽  
Encryption Algorithms

Cloud Computing is widely regarded as the most radically altering trend in information technology. However, great benefits come with great challenges, especially in the area of data security and privacy protection. Since standard cloud computing uses plaintext, certain encryption algorithms were implemented in the cloud for security reasons, and ‘encrypted' data was then stored in the cloud. Homomorphic Encryption (HE), a modern kind of encryption strategy, is born as a result of this change. Primarily, the paper will focus on implementing a successful Homomorphic Encryption (HE) scheme for polynomials. Furthermore, the objective of the paper is to propose, produce and implement a method to convert the already implemented sequentially processing Homomorphic Encryption into parallel processing Homomorphic Encryption (HE) using a Parallel Processing concept (Partitioning, Assigning, Scheduling, etc) and thereby producing a better performing Homomorphic Encryption (HE) called Fully Homomorphic Encryption (FHE). Fully Homomorphic Encryption (FHE) is an encryption technique that can perform specific analytical operations, functions and methods on normal or encrypted data and can still perform traditional encryption results as performed on plaintext. The three major reasons for implementing Fully Homomorphic Encryption (FHE) are advantages like no involvement of third parties, trade-off elimination between privacy and security and quantum safety.

scholarly journals AN EFFICIENT SECURITY FRAMEWORK FOR DATA MIGRATION IN A CLOUD COMPUTING ENVIRONMENT

2019 ◽  
Vol 01 (01) ◽  
pp. 45-53 ◽  
Author(s):  
Subarna Shakya
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Privacy Protection ◽  
Credit Card ◽  
Security Analysis ◽  
Data Encryption ◽  
Security And Privacy ◽  
Data Migration ◽  
Secure Socket Layer ◽  
Sensitive Data

Cloud computing is advantageous in several applications. Data migration is constantly carried out to hybrid or public cloud. Certain large enterprises will not move their business-critical data and applications to the cloud. This is due to the concerns regarding data security and privacy protection. In this paper, we provide a data security analysis and solution for privacy protection framework during data migration. A Secure Socket Layer (SSL) is established and migration tickets with minimum privilege is introduced. Further, data encryption is done using Prediction Based Encryption (PBE). This system will be of use for healthcare systems and e-commerce systems that can store data regarding credit card details. We provide a strict separation between sensitive and non-sensitive data and provide encryption for the sensitive data.

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