Special Issue "Innovation of Blockchain Technology"

Submission Deadline: 01 August 2020 (closed)
Guest Editors
Dr. Suyel Namasudra, (Corresponding Guest Editor), National Institute of Technology Patna, India.
Prof. Pascal Lorenz, University of Haute-Alsace, France.
Prof. Seifedine Kadry, Beirut Arab University, Lebanon.
Prof. Syed Ahmad Chan Bukhari, St. John’s University, USA.


Nowadays, Blockchain technology is a very emerging field due to its characteristics, such as decentralization, immutability and transparency without using a trusted third party. Blockchain can be defined as a Distributed Ledger Technology (DLT) that secures and records transactions in a Peer to Peer (P2P) network instead of using single or many servers. Here, each record is saved on many interconnected systems, which keep the identical information. Blockchain allows a radical way of transaction among several entities, such as businesses, individuals and machines. In Blockchain, numerous transactions of value exchange are grouped into a number of blocks, and each block is linked to the previous block and information is immutably recorded across a P2P network by each block. The World Economic Forum has estimated that 25 countries have already invested approximate $1.3 billion in Blockchain. Bitcoin is the well known application of Blockchain. Blockchain has many applications, such as finance, Internet of Things (IoT), pharmaceutical, decentralized cryptocurrency, identity, business and many more.

Each and every day, we are suffering from new diseases. Whenever a new disease is diagnosed, then, the main thing is to discover the appropriate drug for the disease. These drugs are available with different labels. However, if the quality of the drug is not up to the mark or does not follow the government regulations, these drugs can even cause death. Moreover, many manufacturing companies supply fake drug to earn revenue. Therefore, it becomes an important aspect to concern. If we can monitor or track the manufacturing processes, the problem can be solved. In order to manage a pharmaceutical supply chain process, there are three aspects to consider: (i) physical aspect in which the medicine or drug is substantially moving from one place to another (ii) financial aspect, and (iii) information aspect, where the overall information is kept digitally. To manage all these three aspects, Blockchain technology can be one of the suitable solutions because it offers to access any real time information by using supply chain process. In Blockchain technology, all the information is stored in the blocks or nodes of the network. If anyone wants to change any information in a particular block, the information of the entire network is changed. Moreover, more than 51% nodes of the Blockchain network need to be hacked to hack one node, which is almost impossible for any attacker or malicious user. In addition, Blockchain technology compels digital signature through cryptography to access or modify the information along with maintaining a logs of transactions. This makes the network transparent throughout its life cycle. Thus, Blockchain technology can be applied in pharmaceutical sector. 

This Special Issue is being planned to bring forth all the information of Blockchain, so that researchers, academician and database professionals across the World can use the concept of Blockchain in the relevant expertise, education and experience. This Special Issue also covers the gaps of the current available book/literature for the use cases of DLT in Pharmaceuticl Sector. The relevant topics of this special issue include, but are not limited to:
• Fundamentals of Blockchain
• Standards and government regulations for Pharmaceutical Sector
• Blockchain based identity management system for Pharmaceutical Sector
• Smart contract for Pharmaceutical Sector
• Blockchain based supply chain process for Pharmaceutical Sector
• Bill management of Pharmaceutical Sector by using Blockchain technology
• Internet of Things (IoT) in Pharmaceutical Sector
• Cloud computing in Pharmaceutical Sector
• Data management of Pharmaceutical Sector
• Competitive market analysis of Pharmaceutical Sector

Warm reminder: Please select Special Issue: Innovation of Blockchain Technology when you submit your article in CMC submission system.

Blockchain technology; Peer to Peer (P2P) network; Pharmaceutical; Internet of Things (IoT); Cloud Computing

Published Papers
  • Blockchain Technology Based Information Classification Management Service
  • Abstract Hyper-connectivity in Industry 4.0 has resulted in not only a rapid increase in the amount of information, but also the expansion of areas and assets to be protected. In terms of information security, it has led to an enormous economic cost due to the various and numerous security solutions used in protecting the increased assets. Also, it has caused difficulties in managing those issues due to reasons such as mutual interference, countless security events and logs’ data, etc. Within this security environment, an organization should identify and classify assets based on the value of data and their security perspective, and… More
  •   Views:354       Downloads:257        Download PDF

  • A Blockchain Based Framework for Stomach Abnormalities Recognition
  • Abstract Wireless Capsule Endoscopy (WCE) is an imaging technology, widely used in medical imaging for stomach infection recognition. However, a one patient procedure takes almost seven to eight minutes and approximately 57,000 frames are captured. The privacy of patients is very important and manual inspection is time consuming and costly. Therefore, an automated system for recognition of stomach infections from WCE frames is always needed. An existing block chain-based approach is employed in a convolutional neural network model to secure the network for accurate recognition of stomach infections such as ulcer and bleeding. Initially, images are normalized in fixed dimension and… More
  •   Views:482       Downloads:342        Download PDF

  • Classification of Positive COVID-19 CT Scans Using Deep Learning
  • Abstract In medical imaging, computer vision researchers are faced with a variety of features for verifying the authenticity of classifiers for an accurate diagnosis. In response to the coronavirus 2019 (COVID-19) pandemic, new testing procedures, medical treatments, and vaccines are being developed rapidly. One potential diagnostic tool is a reverse-transcription polymerase chain reaction (RT-PCR). RT-PCR, typically a time-consuming process, was less sensitive to COVID-19 recognition in the disease’s early stages. Here we introduce an optimized deep learning (DL) scheme to distinguish COVID-19-infected patients from normal patients according to computed tomography (CT) scans. In the proposed method, contrast enhancement is used to… More
  •   Views:673       Downloads:427        Download PDF