A Secure Re-encryption Scheme for Data Sharing in Unreliable Cloud Environment

2016 ◽  
Author(s):  
Nazatul Haque Sultan ◽  
Ferdous Ahmed Barbhuiya
Keyword(s):  
Data Sharing ◽  
Encryption Scheme ◽  
Cloud Environment

Lattice-Based Identity-Based Homomorphic Conditional Proxy Re-Encryption for Secure Big Data Computing in Cloud Environment

2017 ◽  
Vol 28 (06) ◽  
pp. 645-660 ◽  
Author(s):  
Chunguang Ma ◽  
Juyan Li ◽  
Weiping Ouyang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Sharing ◽  
Homomorphic Encryption ◽  
Encryption Scheme ◽  
Cloud Environment ◽  
Public Cloud ◽  
Encrypted Data ◽  
Identity Based ◽  
Big Data Computing

With the arrival of the era of big data, more and more users begin to adopt public cloud storage to store data and compute data. Sharing large amounts of sensitive data in the public cloud will arouse privacy concerns. Data encryption is a widely accepted method to prevent information leakage. How to achieve the cloud sharing and cloud computing of big data is a challenging problem. Conditional proxy re-encryption can solve cloud sharing, and homomorphic encryption can achieve cloud computing. In this paper, we combine conditional proxy re-encryption with homomorphic encryption to construct a lattice-based identity-based homomorphic conditional proxy re-encryption for secure big data computing in cloud environment. The scheme can not only realize the encrypted data sharing in the cloud, but also can realize the encrypted data computing in the cloud. That is, the homomorphic conditional proxy re-encryption scheme can homomorphically evaluate ciphertexts no matter ciphertexts are “fresh” or re-encrypted (re-encrypted ciphertexts can come from different identities). The constructed scheme modifies the homomorphic proxy re-encryption scheme of Ma et al. We also use the approximate eigenvector method to manage the noise level and decrease the decryption complexity without introducing additional assumptions. At last, we prove that the scheme is indistinguishable against chosen-plaintext attacks, key privacy secure and master secret secure.

scholarly journals Proxy Re-Encryption in cloud using ALBC (adaptive lattice based cryptography)

2019 ◽  
Vol 16 (3) ◽  
pp. 1455
Author(s):  
Chandrakala B M ◽  
S C Lingareddy
Keyword(s):  
Comparative Analysis ◽  
Data Sharing ◽  
Data Security ◽  
Key Generation ◽  
Encryption Scheme ◽  
Two Phase ◽  
Data Store ◽  
Learning With Errors ◽  
Lattice Based Cryptography

<p>In recent days, data sharing has provided the flexibility to share the data, store the data, and perform operation on data virtually as well as cost effectively. Data sharing in cloud is one of the feature, which is being popular and widely accepted. However, the concern here is to ensure the data security and this has led the researcher to research in this area. To provide the security several Proxy re-encryption scheme has been introduced, however all these method lacks of efficiency. Hence In this paper, we propose a scheme known as ALBC (Adaptive Lattice Based Cryptography), this scheme follows the two phase i.e. encryption and Re-encryption. Encryption phase has few algorithms such as Key_Gen, Enc, Dec. Similarly ALBC Re-Enc has five algorithm i.e. Key_Gen, Key_ReGen,  Enc, Re-Enc, Dec. our algorithm not only provides the security but also solves the problem of RL(Ring-learning) with errors problems. In order to evaluate, our algorithm is compared with the existing model in terms of encryption time, decryption time, re-encryption time, key generation  and key regeneration by varying the various key size. When we observe the comparative analysis, it is observed that our algorithm outperforms the existing algorithm.</p>

Security Perspective of Cloud and Internet of Things With 5G Networks

2021 ◽  
pp. 15-36
Author(s):  
Neetu Faujdar
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
The Other ◽  
The Internet ◽  
Cloud Environment ◽  
Personal Safety ◽  
5G Networks ◽  
Security Attacks ◽  
Use Of Internet ◽  
The Internet Of Things

Pervasive computing has been greatly supported by the internet of things. The use of internet of things has created the environment that helps in the management of the different modules that are the part of the complete system, which can work effectively without the interference with the other components of the system. The cloud environment with the internet of things can help in getting the greater extend of data sharing. Little attention has been provided to the security of the various stakeholders that are the part of the system. IoT cloud integration involved privacy, security, and personal safety risk of the stakeholders. Not only are these types of security attacks possible, but there is also the possibility of attack on the IoT components like hardware manipulation to disrupt the services. As we are on the network, all the communication attacks of network are also possible. This chapter will cover common aspects of regarding the cloud and internet of things (IOT) with 5G networks.

Efficient and provably-secure certificateless proxy re-encryption scheme for secure cloud data sharing

2014 ◽  
Vol 19 (4) ◽  
pp. 398-405 ◽  
Author(s):  
Liang-liang Wang ◽  
Ke-fei Chen ◽  
Xian-ping Mao ◽  
Yong-tao Wang
Keyword(s):  
Data Sharing ◽  
Encryption Scheme ◽  
Cloud Data ◽  
Provably Secure
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