Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them.

Provably Secure Key-Aggregate Cryptosystems with Broadcast
Aggregate Keys for Online Data Sharing on the Cloud

Introduction:
Online data sharing for increased productivity and efficiency is one of the primary requirements today for any organization. The advent of cloud computing has pushed the limits of sharing across geographical boundaries, and has enabled a multitude of users to contribute and collaborate on shared data. However, protecting online data is critical to the success of the cloud, which leads to the requirement of efficient and secure cryptographic schemes for the same. Data owners would ideally want to store their data/files online in an encrypted manner, and delegate decryption rights for some of these to users, while retaining the power to revoke access at any point of time. An efficient solution in this regard would be one that allows users to decrypt multiple classes of data using a single key of constant size that can be efficiently broadcast to multiple users. Chu et al. proposed a key aggregate cryptosystem (KAC) in 2014 to address this problem, albeit without formal proofs of security. In this paper, we propose CPA and CCA secure KAC constructions that are efficiently implementable using elliptic curves and are suitable for implementation on cloud based data sharing environments. We lay special focus on how the standalone KAC scheme can be efficiently combined with broadcast encryption to cater to m data users and m0 data owners while reducing the reducing the secure channel requirement from O(mm0) in the standalone case to O(m + m0).

Reference IEEE paper:
“Provably Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys for Online Data Sharing on the Cloud”, IEEE Transactions on Computers, 2017.

Unique ID -SBI1021

DomainCLOUD COMPUTING

Book your project Now.  Checkout other projects here

Social Q&A: An Online Social Network Based Question and Answer System

Introduction :

Question and Answer (Q&A) systems play a vital role in our daily life for information and knowledge sharing. Users post questions and pick questions to answer in the system. Due to the rapidly growing user population and the number of questions, it is unlikely for a user to stumble upon a question by chance that (s)he can answer. Also, altruism does not encourage all users to provide answers, not to mention high quality answers with a short answer wait time. The primary objective of this paper is to improve the performance of Q&A systems by actively forwarding questions to users who are capable and willing to answer the questions. To this end, we have designed and implemented Social Q&A, an online social network based Q&A system. Social Q&A leverages the social network properties of common-interest and mutual-trust friend relationship to identify an asker through friendship who are most likely to answer the question, and enhance the user security. We also improve Social Q&A with security and efficiency enhancements by protecting user privacy and identifies, and retrieving answers automatically for recurrent questions. We describe the architecture and algorithms, and conducted comprehensive large-scale simulation to evaluate Social Q&A in comparison with other methods. Our results suggest that social networks can be leveraged to improve the answer quality and asker’s waiting time. We also implemented a real prototype of Social Q&A, and analyze the Q&A behavior of real users and questions from a small-scale real-world Social Q&A system.

Reference IEEE paper :

“SocialQ&A: An Online Social Network Based Question and Answer System”, IEEE Transactions on Big Data, 2017.

Unique ID – SBI1083

DomainBIG DATA

Book your project Now.  Checkout other projects here

Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud

Introduction :

Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud. Attribute-based encryption (ABE) has been widely used in cloud computing where a data provider outsources his/her encrypted data to a cloud service provider, and can share the data with users possessing specific credentials (or attributes). However, the standard ABE system does not support secure deduplication, which is crucial for eliminating duplicate copies of identical data in order to save storage space and network bandwidth. In this paper, we present an attribute-based storage system with secure deduplication in a hybrid cloud setting, where a private cloud is responsible for duplicate detection and a public cloud manages the storage. Compared with the prior data deduplication systems, our system has two advantages. Firstly, it can be used to confidentially share data with users by specifying access policies rather than sharing decryption keys. Secondly, it achieves the standard notion of semantic security for data confidentiality while existing systems only achieve it by defining a weaker security notion. In addition, we put forth a methodology to modify a ciphertext over one access policy into ciphertexts of the same plaintext but under other access policies without revealing the underlying plaintext.

Reference IEEE paper:

“Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud”, IEEE Transactions on Big Data, 2017.

Unique ID – SBI1082

DomainBIG DATA

Book your project Now.  Checkout other projects here