Data Security and Privacy in Blockchain-Based Decentralized Applications

Dear Colleagues,

The global big data market is experiencing tremendous growth, driven by advancements in the IoT, cloud computing, and AI technologies. However, the development of big data techniques is hindered by growing data security and privacy concerns. Blockchain, which emerged as a novel distributed consensus scheme, allows transactions and any other data to be securely stored and verified without the need for any centralized and trusted authority. Due to its unique characteristics, blockchain technology has become a popular choice for many application areas, such as e-government, healthcare, social network, finance, supply chain management, and smart manufacturing.

This Special Issue gives a platform for researchers, academics, and industry professionals to present their research work on data security and privacy in blockchain-based decentralized applications. This Special Issue aims to address the challenges and issues of using blockchain technology to design decentralized applications and services in various domains.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Data security challenges and solutions in decentralized applications;
• Data privacy protection in blockchain systems;
• Access control in decentralized applications for big data;
• Blockchain-driven decentralized services and applications;
• Novel architectures of blockchain-based decentralized services;
• Detecting malicious smart contracts in decentralized applications;
• Cloud/edge/fog/big data management protocols by using blockchain;
• Distributed consensus mechanisms;
• Security and privacy issues with blockchain for IoT;
• Software tools, platforms, and frameworks for decentralized applications and services;
• Improving data transparency using blockchain technology.

We look forward to receiving your contributions.

Dr. Zhe Peng
Dr. Hong-Ning Dai
Dr. Yu Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• data security
• privacy protection
• blockchain
• decentralized applications
• IoT