scholarly journals Blockchain-Based Data Sharing and Trading Model for the Connected Car

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3141
Author(s):  
Byeong-Gyu Jeong ◽  
Taek-Young Youn ◽  
Nam-Su Jho ◽  
Sang Uk Shin
Keyword(s):  
Data Sharing ◽  
Video Data ◽  
Vehicle Data ◽  
Attribute Based Encryption ◽  
Data Owner ◽  
Proposed Model ◽  
Trading Model ◽  
Efficient Data ◽  
Vehicle Networks ◽  
Smart Cars

Currently, “connected cars” are being actively designed over smart cars and autonomous cars, to establish a two-way communication network between the vehicle and all infrastructure. Additionally, because vehicle black boxes are becoming more common, specific processes for secure and efficient data sharing and transaction via vehicle networks must be developed. In this paper, we propose a Blockchain-based vehicle data marketplace platform model, along with a data sharing scheme, using Blockchain-based data-owner-based attribute-based encryption (DO-ABE). The proposed model achieves the basic requirements such as data confidentiality, integrity, and privacy. The proposed system securely and effectively handles large-capacity and privacy-sensitive black box video data by storing the metadata on Blockchain (on-chain) and encrypted raw data on off-chain (external) storage, and adopting consortium Blockchain. Furthermore, the data owners of the proposed model can control their own data by applying the Blockchain-based DO-ABE and owner-defined access control lists.

scholarly journals Unified Ciphertext-Policy Weighted Attribute-Based Encryption for Sharing Data in Cloud Computing

2018 ◽  
Vol 8 (12) ◽  
pp. 2519
Author(s):  
Wei Li ◽  
Wei Ni ◽  
Dongxi Liu ◽  
Ren Liu ◽  
Shoushan Luo
Keyword(s):  
Cloud Computing ◽  
Mutual Information ◽  
Data Sharing ◽  
Rapid Development ◽  
Sharing Scheme ◽  
Attribute Based Encryption ◽  
Share Data ◽  
Efficient Data ◽  
Ciphertext Policy ◽  
Access Policies

With the rapid development of cloud computing, it is playing an increasingly important role in data sharing. Meanwhile, attribute-based encryption (ABE) has been an effective way to share data securely in cloud computing. In real circumstances, there is often a mutual access sub-policy in different providers’ access policies, and the significance of each attribute is usual diverse. In this paper, a secure and efficient data-sharing scheme in cloud computing, which is called unified ciphertext-policy weighted attribute-based encryption (UCP-WABE), is proposed. The weighted attribute authority assigns weights to attributes depending on their importance. The mutual information extractor extracts the mutual access sub-policy and generates the mutual information. Thus, UCP-WABE lowers the total encryption time cost of multiple providers. We prove that UCP-WABE is selectively secure on the basis of the security of ciphertext-policy weighted attribute-based encryption (CP-WABE). Additionally, the results of the implementation shows that UCP-WABE is efficient in terms of time.

scholarly journals Traceable Multiauthority Attribute-Based Encryption with Outsourced Decryption and Hidden Policy for CIoT

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Suhui Liu ◽  
Jiguo Yu ◽  
Chunqiang Hu ◽  
Mengmeng Li
Keyword(s):  
Data Sharing ◽  
Random Oracle Model ◽  
Random Oracle ◽  
Fine Grained ◽  
Security Issues ◽  
Efficient Management ◽  
Attribute Based Encryption ◽  
High Efficient ◽  
Efficient Data ◽  
Iot Devices

Cloud-assisted Internet of Things (IoT) significantly facilitate IoT devices to outsource their data for high efficient management. Unfortunately, some unsettled security issues dramatically impact the popularity of IoT, such as illegal access and key escrow problem. Traditional public-key encryption can be used to guarantees data confidentiality, while it cannot achieve efficient data sharing. The attribute-based encryption (ABE) is the most promising way to ensure data security and to realize one-to-many fine-grained data sharing simultaneously. However, it cannot be well applied in the cloud-assisted IoT due to the complexity of its decryption and the decryption key leakage problem. To prevent the abuse of decryption rights, we propose a multiauthority ABE scheme with white-box traceability in this paper. Moreover, our scheme greatly lightens the overhead on devices by outsourcing the most decryption work to the cloud server. Besides, fully hidden policy is implemented to protect the privacy of the access policy. Our scheme is proved to be selectively secure against replayable chosen ciphertext attack (RCCA) under the random oracle model. Some theory analysis and simulation are described in the end.

scholarly journals A Secured Proxy-Based Data Sharing Module in IoT Environments Using Blockchain

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1235 ◽  
Author(s):  
Kwame Obour Agyekum ◽  
Qi Xia ◽  
Emmanuel Sifah ◽  
Jianbin Gao ◽  
Hu Xia ◽  
...  
Keyword(s):  
Access Control ◽  
Data Sharing ◽  
Security And Privacy ◽  
Inner Product ◽  
Data Confidentiality ◽  
Collusion Attacks ◽  
Fine Grained ◽  
Computing Paradigm ◽  
Attribute Based Encryption ◽  
Data Owner

Access and utilization of data are central to the cloud computing paradigm. With the advent of the Internet of Things (IoT), the tendency of data sharing on the cloud has seen enormous growth. With data sharing comes numerous security and privacy issues. In the process of ensuring data confidentiality and fine-grained access control to data in the cloud, several studies have proposed Attribute-Based Encryption (ABE) schemes, with Key Policy-ABE (KP-ABE) being the prominent one. Recent works have however suggested that the confidentiality of data is violated through collusion attacks between a revoked user and the cloud server. We present a secured and efficient Proxy Re-Encryption (PRE) scheme that incorporates an Inner-Product Encryption (IPE) scheme in which decryption of data is possible if the inner product of the private key, associated with a set of attributes specified by the data owner, and the associated ciphertext is equal to zero 0 . We utilize a blockchain network whose processing node acts as the proxy server and performs re-encryption on the data. In ensuring data confidentiality and preventing collusion attacks, the data are divided into two, with one part stored on the blockchain network and the other part stored on the cloud. Our approach also achieves fine-grained access control.

Enabling Efficient Data Sharing With Auditable User Revocation for IoV Systems

2021 ◽  
pp. 1-12
Author(s):  
Jiawei Zhang ◽  
Teng Li ◽  
Mohammad S. Obaidat ◽  
Chi Lin ◽  
Jianfeng Ma
Keyword(s):  
Data Sharing ◽  
Efficient Data ◽  
User Revocation

Modified SeDaSc system for efficient data sharing in the cloud

2021 ◽  
Author(s):  
Marwa F. Areed ◽  
Mohamed M. Rashed ◽  
Nehal Fayez ◽  
Ehab H. Abdelhay
Keyword(s):  
Data Sharing ◽  
Efficient Data

scholarly journals Protecting Sensitive Data with Secure Data Enclaves

2021 ◽  
Author(s):  
Mark Howison ◽  
Mintaka Angell ◽  
Michael Hicklen ◽  
Justine S. Hastings
Keyword(s):  
Data Sharing ◽  
Data Use ◽  
Data Access ◽  
Cloud Services ◽  
Reference Architecture ◽  
Sensitive Data ◽  
Technical Requirements ◽  
Data Owner ◽  
Secure Data ◽  
Amazon Web Services

A Secure Data Enclave is a system that allows data owners to control data access and ensure data security while facilitating approved uses of data by other parties. This model of data use offers additional protections and technical controls for the data owner compared to the more commonly used approach of transferring data from the owner to another party through a data sharing agreement. Under the data use model, the data owner retains full transparency and auditing over the other party’s access, which can be difficult to achieve in practice with even the best legal instrument for data sharing. We describe the key technical requirements for a Secure Data Enclave and provide a reference architecture for its implementation on the Amazon Web Services platform using managed cloud services.

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

Secured Sharing of Data in Cloud via Dual Authentication, Dynamic Unidirectional PRE, and CPABE

2021 ◽  
pp. 504-527
Author(s):  
Neha Agarwal ◽  
Ajay Rana ◽  
J.P. Pandey ◽  
Amit Agarwal
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Recent Time ◽  
Experimental Results ◽  
Significant Issue ◽  
Computing Paradigm ◽  
Java Language ◽  
Attribute Based Encryption ◽  
Frame Work ◽  
Cryptographic Techniques

Cloud computing is an emergent computing paradigm; however, data security is a significant issue in recent time while outsourcing the data to the cloud preventing users to upload their data on cloud. The data forwarded to cloud can be protected using some cryptographic techniques based on identity, attributes, and prediction. But these algorithms lack their performance when a revoked user collude with cloud; therefore, it becomes essential to develop a secure data sharing framework with some enhanced cryptographic techniques. The proposed methodology presented a secure privacy preserving data sharing with encryption technique called dynamic unidirectional proxy re-encryption (PRE) with cipher text policy attribute-based encryption. The technique ensures the privacy, integrity, and security of the data while retrieving through the cloud. The framework is implemented in the cloud sim with java language. Experimental results proved that proposed frame work attains reasonable results compared to traditional methods.

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