Blockchain Enabled Emperor Penguin Optimizer Based Encryption Technique for Secure Image Management System

In recent years, the electronic sharing of digital images faces a major threat to security, as the existing image transmission infrastructure is mainly based on the trust of third parties. At the same time, the available solutions are placed on the cloud based centralized data center, which is expensive, requires large storage area, and security issues regarding the transmission of data over the network. So, it is needed to develop an image management system which enables sharing and storing of digital images effectively. This paper develops novel multiple share creation schemes with block technology for secure image management (MSCCBT-SIM) systems. The MSCCBT-SIM model allows the user to create consensus with no dependencies on central authorities. It involves an MSC which involves share creation and share encryption using emperor penguin optimizer based ElGamal public key cryptosystem (EPO-EPKC). In addition, the blockchain is used as a distributed data storage mechanism to generate a ledger for permitting access to the user and prevent third party access to the encrypted shares. The application of blockchain technology and MSC techniques helps to achieve decentralization, highly reliable, inexpensive, and secure transmission and storage of digital images. In order to validate the effective performance of the MSCCBT-SIM model, a series of simulations take place and investigated the results interms of different measures. The experimental results ensured the better performance of the MSCCBT-SIM model over the state of art methods.

Blockchain-Based Distributed Patient-Centric Image Management System

In recent years, many researchers have focused on developing a feasible solution for storing and exchanging medical images in the field of health care. Current practices are deployed on cloud-based centralized data centers, which increase maintenance costs, require massive storage space, and raise privacy concerns about sharing information over a network. Therefore, it is important to design a framework to enable sharing and storing of big medical data efficiently within a trustless environment. In the present paper, we propose a novel proof-of-concept design for a distributed patient-centric image management (PCIM) system that is aimed to ensure safety and control of patient private data without using a centralized infrastructure. In this system, we employed an emerging Ethereum blockchain and a distributed file system technology called Inter-Planetary File System (IPFS). Then, we implemented an Ethereum smart contract called the patient-centric access control protocol to enable a distributed and trustworthy access control policy. IPFS provides the means for decentralized storage of medical images with global accessibility. We describe how the PCIM system architecture facilitates the distributed and secured patient-centric data access across multiple entities such as hospitals, patients, and image requestors. Finally, we deployed a smart contract prototype on an Ethereum testnet blockchain and evaluated the proposed framework within the Windows environment. The evaluation results demonstrated that the proposed scheme is efficient and feasible.

ОЦІНКА ЕФЕКТИВНОСТІ ДІЯЛЬНОСТІ ПІДПРИЄМСТВА ЩОДО СТВОРЕННЯ СПРИЯТЛИВОГО ІМІДЖУ НА РИНКУ ПРАЦІ

Formulation of the problem. The article explores the issues of evaluation of the elements that form a positive or negative image of an enterprise in the labor market using modern management tools. The aim of the research is to describe the process of evaluating the effectiveness of the enterprise in terms of creating a favorable image in the labor market. The subject of the research is the process of forming the image policy of enterprises in the Ukrainian labor market. The methods of the research: the theoretical and methodological basis of the study were the provisions of the general scientific methodology, principles and patterns of construction, analysis and evaluation of the enterprise image management system. The hypothesis of the research is that the process of evaluating the performance of the enterprise in the labor market in the context of building a favorable image should be systematic, organized, aimed at comparing costs and results, as well as comparing these results with the results of activities for the baseline periods. The statement of basic materials. The evaluation of the interaction between enterprises and the labor market by three types of efficiency in the personnel policy of the enterprise: production, social and economic. The indicators of estimation of efficiency of formation of image on the labor market for each of the proposed directions are given. The originality and practical significance of the researchy: the proposed indicators of assessing the effectiveness of forming a favorable image of the enterprise in the labor market will allow to optimize the cost of personnel management and increase the competitiveness of the enterprise as a whole. Conclusions and perspectives of further research. The overall assessment of the project measures for the effective activity of enterprises in the aspect of image formation in the labor market will be to achieve the general goal in terms of its components, namely: winning a certain, fairly stable position in the labor market, meeting the requirements for employers and employees, optimization of costs for acquisition and further use of staff.

Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network

Context.— Complete digital pathology and whole slide imaging for routine histopathology diagnosis is currently in use in few laboratories worldwide. Granada University Hospitals, Spain, which comprises 4 hospitals, adopted full digital pathology for primary histopathology diagnosis in 2016. Objective.— To describe the methodology adopted and the resulting experience at Granada University Hospitals in transitioning to full digital diagnosis. Design.— All histopathology glass slides generated for routine diagnosis were digitized at ×40 using the Philips IntelliSite Pathology Solution, which includes an ultrafast scanner and an image management system. All hematoxylin-eosin–stained preparations and immunohistochemistry and histochemistry slides were digitized. The existing sample-tracking software and image management system were integrated to allow data interchange through the Health Level 7 protocol. Results.— Circa 160 000 specimens have been signed out using digital pathology for primary diagnosis. This comprises more than 800 000 digitized glass slides. The scanning error rate during the implementation phase was below 1.5%, and subsequent workflow optimization rendered this rate negligible. Since implementation, Granada University Hospitals pathologists have signed out 21% more cases per year on average. Conclusions.— Digital pathology is an adequate medium for primary histopathology diagnosis. Successful digitization relies on existing sample tracking and integration of the information technology infrastructure. Rapid and reliable scanning at ×40 equivalent was key to the transition to a fully digital workflow. Digital pathology resulted in efficiency gains in the preanalytical and analytical phases, and created the basis for computational pathology: the use of computer-assisted tools to aid diagnosis.