scholarly journals A Blockchain-Based Streaming Data Sharing Scheme with Incentives and Trust Access Control

2021 ◽  
Author(s):  
Yanping Wang ◽  
Teng Hu ◽  
Qi Zhong ◽  
Yukun Zhu ◽  
jingcheng Song ◽  
...  
Keyword(s):  
Data Sharing ◽  
Mobile Communications ◽  
Data Access ◽  
Current Data ◽  
Streaming Data ◽  
Smart Devices ◽  
The Internet ◽  
Authorized User ◽  
Financial Gain ◽  
Sharing Scheme

Abstract The fifth-generation of cellular mobile communications (5G) networks promotes the internet of everything, smart devices are setting to penetrate each piece of our life, generating a large amount of data. Data sharing is essential to derive the inherent value, either in the form of social/financial gain or strategic competitive advantage. However, the concerns of security and the deficiency of effective incentive in the Internet of things (IoT) lead to the poor willingness of data sharing. Such considerations call for novel IoT data-sharing protocols that can achieve better data security and provide a more attractive incentive mechanism. In this paper, we exploit smart contracts, re-encryption, and hash-chain to propose a reliable streaming data sharing scheme. Firstly, the incentives to stimulate the owner’s enthusiasm of sharing data is considered, our scheme provides authorized user accessible to the shared data and provides data providers profits to share data. Secondly, a n-time query mechanism that provided flexible data access is designed, in which authorized users can query the data n times within an agreed time. Since the query voucher and every successful query is recorded and verified by smart contract, everyone in the blockchain network can validate it, the trustfulness of data access are ensured. The analysis showed that our scheme has better performance than some of the current data sharing schemes, and the experiment is conducted to demonstrate the effectiveness of our design.

scholarly journals Intelligent Systems for the Internet of Things: Essence, Perspectives and Problems

2021 ◽  
Vol 9 (1) ◽  
pp. 17-25
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Intelligent Systems ◽  
New Technology ◽  
Smart Devices ◽  
The Internet ◽  
Transfer Data ◽  
Iot Platform ◽  
High Level ◽  
The Internet Of Things

This article outlines the Internet of Things (IoT). The Internet of Things describes a network of physical objects, i.e., the “thing” including sensors, software, and other technologies for connection and data sharing with other devices and systems over the Internet. In other words, IoT is a relatively new technology enabling many “smart” devices to get connected, to analyze, process, and transfer data to each other and connect to a network. The article clarifies the essence of intelligent systems for the Internet of Things, and analyzes the most popular software for the IoT platform. It studies high-level systems for IoT and analyzes available literature in this field. It highlights most advanced IoT software of 2021. The article also identifies the prospects and challenges of intelligent systems for the Internet of Things. The creation of new intelligent systems for IoT and the development of technology will greatly contribute to the development of economy.

scholarly journals A Privacy-Preserving Attribute-Based Encryption System for Data Sharing in Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xieyang Shen ◽  
Chuanhe Huang ◽  
Danxin Wang ◽  
Jiaoli Shi
Keyword(s):  
Data Sharing ◽  
Service Providers ◽  
Smart Cities ◽  
Information Leakage ◽  
Cloud Service ◽  
Data Access ◽  
Smart Devices ◽  
Fine Grained ◽  
Data Access Control ◽  
High Level

Information leakage and efficiency are the two main concerns of data sharing in cloud-aided IoT. The main problem is that smart devices cannot afford both energy and computation costs and tend to outsource data to a cloud server. Furthermore, most schemes focus on preserving the data stored in the cloud but omitting the access policy is typically stored in unencrypted form. In this paper, we proposed a fine-grained data access control scheme based on CP-ABE to implement access policies with a greater degree of expressiveness as well as hidden policies from curious cloud service providers. Moreover, to mitigate the extra computation cost generated by complex policies, an outsourcing service for decryption can be used by data users. Further experiments and extensive analysis show that we significantly decrease the communication and computation overhead while providing a high-level security scheme compared with the existing schemes.

scholarly journals Efficient Hierarchical and Time-Sensitive Data Sharing with User Revocation in Mobile Crowdsensing

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Jiawei Zhang ◽  
Jianfeng Ma ◽  
Teng Li ◽  
Qi Jiang
Keyword(s):  
Data Sharing ◽  
High Efficiency ◽  
Data Access ◽  
Sensitive Data ◽  
Mobile Crowdsensing ◽  
Data Access Control ◽  
Sharing Scheme ◽  
User Revocation ◽  
And Performance ◽  
Ciphertext Policy

Recently, cloud-based mobile crowdsensing (MCS) has developed into a promising paradigm which can provide convenient data sensing, collection, storage, and sharing services for resource-constrained terminates. Nevertheless, it also inflicts many security concerns such as illegal access toward user secret and privacy. To protect shared data against unauthorized accesses, many studies on Ciphertext-Policy Attribute-Based Encryption (CP-ABE) have been proposed to achieve data sharing granularity. However, providing a scalable and time-sensitive data-sharing scheme across hierarchical users with compound attribute sets and revocability remains a big issue. In this paper, we investigate this challenge and propose a hierarchical and time-sensitive CP-ABE scheme, named HTR-DAC, which is characteristics of time-sensitive data access control with scalability, revocability, and high efficiency. Particularly, we propose a time-sensitive CP-ABE for hierarchical structured users with recursive attribute sets. Moreover, we design a robust revocable mechanism to achieve direct user revocation in our scheme. We also integrate verifiable outsourced decryption to improve efficiency and guarantee correctness in decryption procedure. Extensive security and performance analysis is presented to demonstrate the security requirement satisfaction and high efficiency for our data-sharing scheme in MCS.

scholarly journals Responsible data sharing in a big data-driven translational research platform: lessons learned

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
S. Kalkman ◽  
M. Mostert ◽  
N. Udo-Beauvisage ◽  
J. J. van Delden ◽  
G. J. van Thiel
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Qualitative Content Analysis ◽  
Data Access ◽  
Current Data ◽  
Lessons Learned ◽  
Data Driven ◽  
Governance Framework ◽  
General Data Protection Regulation ◽  
Ethical Governance

Abstract Background To foster responsible data sharing in health research, ethical governance complementary to the EU General Data Protection Regulation is necessary. A governance framework for Big Data-driven research platforms will at least need to consider the conditions as specified a priori for individual datasets. We aim to identify and analyze these conditions for the Innovative Medicines Initiative’s (IMI) BigData@Heart platform. Methods We performed a unique descriptive case study into the conditions for data sharing as specified for datasets participating in BigData@Heart. Principle investigators of 56 participating databases were contacted via e-mail with the request to send any kind of documentation that possibly specified the conditions for data sharing. Documents were qualitatively reviewed for conditions pertaining to data sharing and data access. Results Qualitative content analysis of 55 relevant documents revealed overlap on the conditions: (1) only to share health data for scientific research, (2) in anonymized/coded form, (3) after approval from a designated review committee, and while (4) observing all appropriate measures for data security and in compliance with the applicable laws and regulations. Conclusions Despite considerable overlap, prespecified conditions give rise to challenges for data sharing. At the same time, these challenges inform our thinking about the design of an ethical governance framework for data sharing platforms. We urge current data sharing initiatives to concentrate on: (1) the scope of the research questions that may be addressed, (2) how to deal with varying levels of de-identification, (3) determining when and how review committees should come into play, (4) align what policies and regulations mean by “data sharing” and (5) how to deal with datasets that have no system in place for data sharing.

Secure Framework Data Security Using Cryptography and Steganography in Internet of Things

2021 ◽  
pp. 258-278
Author(s):  
Kannadhasan S. ◽  
R. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Data Sharing ◽  
Data Security ◽  
Smart Devices ◽  
The Internet ◽  
Private Communication ◽  
Digital Information ◽  
Time Restrictions ◽  
The Internet Of Things

The exponential development of the internet and the internet of things (IoT) applies to the next step of the information transition, which entails billions of integrated smart devices and sensors to enable the speedy sharing of information and data under soft real-time restrictions. Significant improvements in data sharing also sparked the digital information movement. This transmission of data can include private, reliable, and often private communication. The exponential development of the internet and the internet of things (IoT) applies to the next step of the information transition, which entails billions of integrated smart devices and sensors to enable the speedy sharing of information and data under soft real-time restrictions. Significant improvements in data sharing also sparked the digital information movement. This transmission of data can include private, reliable, and often private communication.

A puncturable attribute-based data sharing scheme for the Internet of Medical Robotic Things

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sultan Basudan
Keyword(s):  
Data Sharing ◽  
Mutual Authentication ◽  
The Internet ◽  
Security Model ◽  
Secret Key ◽  
Forward Secrecy ◽  
Content Type ◽  
Sensing Data ◽  
Sharing Scheme ◽  
Security Proof

PurposeIn line with the fast development of information technology, the Internet of Medical Robotic Things (IoMRT) is gaining more ground in health care. Sharing patients' information effectively and securely can improve sensing data usage and confidentiality. Nevertheless, current IoMRT data sharing schemes are lacking in terms of supporting efficient forward secrecy; when secret key for a robotic nurse as a data requester is compromised, all the historically shared data with this robotic nurse will be leaked.Design/methodology/approachThe presented paper suggests an efficient puncturable attribute-based data sharing scheme enabling guaranteed firm security and versatile access control over health sensing data in IoMRT. This scheme integrates attribute-based and puncturable encryption to avail a shared secret key for data sharing that can be encrypted by an access structure over the Data Requester (DR) attributes. Additionally, the establishment of the shared key and the mutual authentication is simultaneously done between the cloud servers and DRs.FindingsThe proposed scheme can achieve forward secrecy by adopting the bloom filter technique that efficiently helps the updating of a private key with no need for the key distributor to reissue the key. The security proof illustrates that this scheme adheres to the security model. Besides, the performance evaluation expresses the feasibility of the suggested scheme.Originality/valueThe main goal of designing a puncture algorithm is to devise an updated key from the ciphertext and a secret key, allowing the decryption of all ciphertexts except the one that has been punctured on. This research illustrates the first effort to develop a puncturable attribute-based encryption scheme to achieve efficient finegrained data sharing in IoMRT.

Open science: The open clinical trials data journey

2019 ◽  
Vol 16 (5) ◽  
pp. 539-546 ◽  
Author(s):  
Frank Rockhold ◽  
Christina Bromley ◽  
Erin K Wagner ◽  
Marc Buyse
Keyword(s):  
Data Sharing ◽  
Data Privacy ◽  
Resource Constraints ◽  
Open Data ◽  
Data Access ◽  
Open Science ◽  
Current Data ◽  
Shared Data ◽  
Privacy Issues ◽  
And Training

Open data sharing and access has the potential to promote transparency and reproducibility in research, contribute to education and training, and prompt innovative secondary research. Yet, there are many reasons why researchers don’t share their data. These include, among others, time and resource constraints, patient data privacy issues, lack of access to appropriate funding, insufficient recognition of the data originators’ contribution, and the concern that commercial or academic competitors may benefit from analyses based on shared data. Nevertheless, there is a positive interest within and across the research and patient communities to create shared data resources. In this perspective, we will try to highlight the spectrum of “openness” and “data access” that exists at present and highlight the strengths and weakness of current data access platforms, present current examples of data sharing platforms, and propose guidelines to revise current data sharing practices going forward.

Blockchain Enabled Data Sharing Scheme for Consumer IoT Applications

2021 ◽  
pp. 1-1
Author(s):  
Bowen Hu ◽  
Yingwen Chen ◽  
Hujie Yu ◽  
Linghang Meng ◽  
Zhimin Duan
Keyword(s):  
Data Sharing ◽  
Iot Applications ◽  
Sharing Scheme

scholarly journals Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

Network ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 28-49
Author(s):  
Ehsan Ahvar ◽  
Shohreh Ahvar ◽  
Syed Mohsan Raza ◽  
Jose Manuel Sanchez Vilchez ◽  
Gyu Myoung Lee
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Mobile Networks ◽  
The Other ◽  
The Internet ◽  
Hybrid Cloud ◽  
Next Generation ◽  
Delay Constraints ◽  
Mission Critical ◽  
Iot Devices

In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.

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