Acta Informatica Pragensia, 2022 (vol. 11), issue 3
Editorial
Artificial Intelligence and Blockchain Technology Enabling Sustainable and Smart Infrastructure
Venkatachalam Kandasamy, Mohamed Abouhawwash, Nebojsa Bacanin
Acta Informatica Pragensia 2022, 11(3), 290-292 | DOI: 10.18267/j.aip.2032325 
This editorial aims to summarize the special issue entitled “Sustainable Solutions for Internet of Things Using Artificial Intelligence and Blockchain in Future Networks”, which deals with the impacts of recent infrastructure development using the Internet of things. This special issue consists of four scientific articles.
Article
A Novel Automatic Relational Database Normalization Method
Emre Akadal, Mehmet Hakan Satman
Acta Informatica Pragensia 2022, 11(3), 293-308 | DOI: 10.18267/j.aip.1934191
The increase in data diversity and the fact that database design is a difficult process make it practically impossible to design a unique database schema for all datasets encountered. In this paper, we introduce a fully automatic genetic algorithm-based relational database normalization method for revealing the right database schema using a raw dataset and without the need for any prior knowledge. For measuring the performance of the algorithm, we perform a simulation study using 250 datasets produced using 50 well-known databases. A total of 2500 simulations are carried out, ten times for each of five denormalized variations of all database designs...
Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace
Christopher Chin Fung Chee, Kang Leng Chiew, Izzatul Nabila bt Sarbini, Eileen Kho Huei Jing
Acta Informatica Pragensia 2022, 11(3), 309-323 | DOI: 10.18267/j.aip.1964496
E-commerce has become very important in our daily lives. Many business transactions are made easier on this platform. Sellers and consumers are the two main parties that gain a lot of benefits from it. Although many sellers are attracted to set up their businesses on this online platform, it also causes challenges such as a highly competitive business environment and unpredictable sales. Thus, we propose a data analytics approach for short-term sales forecasts using limited information in the e-commerce marketplace. Product details are scraped from the e-commerce marketplace using a content scraping tool. Since the information in the e-commerce marketplace...
Classification of Handwritten Text Signatures by Person and Gender: A Comparative Study of Transfer Learning Methods
Sidar Agduk, Emrah Aydemir
Acta Informatica Pragensia 2022, 11(3), 324-347 | DOI: 10.18267/j.aip.1973490
The writing process, in which feelings and thoughts are expressed in writing, differs from person to person. Handwriting samples, which are very easy to obtain, are frequently used to identify individuals because they are biometric data. Today, with human-machine interaction increasing by the day, machine learning algorithms are frequently used in offline handwriting identification. Within the scope of this study, a dataset was created from 3250 handwritten images of 65 people. We tried to classify collected handwriting samples according to person and gender. In the classification made for person and gender recognition, feature extraction was done...
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Saad Ahmed Dheyab, Shaymaa Mohammed Abdulameer, Salama Mostafa
Acta Informatica Pragensia 2022, 11(3), 348-360 | DOI: 10.18267/j.aip.1993822
Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. The principal component analysis (PCA) and the linear discriminant analysis (LDA) techniques perform the dimensionality reduction in individual and hybrid modes to process and improve the...
Improving Privacy-preserving Healthcare Data Sharing in a Cloud Environment Using Hybrid Encryption
Insaf Boumezbeur, Karim Zarour
Acta Informatica Pragensia 2022, 11(3), 361-379 | DOI: 10.18267/j.aip.1823097
In recent years, cloud computing has been widely used in various fields and is gaining importance in healthcare systems. Patients’ health data are outsourced to cloud storage, enabling healthcare professionals to easily access health information from anywhere and at any time to improve health services. Once patient data are stored in the cloud, they are vulnerable to attacks such as data loss, denial of service (DoS), distributed denial of service (DDoS) and other sorts of cyberattacks. Data confidentiality and patient privacy are more of a problem in the cloud computing context due to their public availability. If a patient's personal information...
Evaluation of Community Detection by Improving Influence Nodes in Complex Networks Using InfoMap with Sigmoid Fish Swarm Optimization Algorithm
Devi Selvaraj, Rajalakshmi Murugasamy
Acta Informatica Pragensia 2022, 11(3), 380-395 | DOI: 10.18267/j.aip.2012860
In recent years, community detection is important because members of the same community share the same concepts. For efficient community detection in a social network, the influence node plays a vital role. A node in the social network or a user that has great influence and power would have a close relationship with a core of the group, termed a community. Therefore, the status of a person is determined by the user’s influence strength. That is, a user who has greater influence and strength plays a vital role in the social media community and also acts as a core in the community of the social network. Therefore, a community is a group of nodes...
Review
Blockchain Design and Implementation Techniques, Considerations and Challenges in the Banking Sector: A Systematic Literature Review
Senate Sylvia Mafike, Tendani Mawela
Acta Informatica Pragensia 2022, 11(3), 396-422 | DOI: 10.18267/j.aip.2005694
Blockchain is transforming the banking sector and offering opportunities for significant cost reduction and efficient banking services. However, implementing blockchain is a challenge due to lack of adequate knowledge and skills on how to implement the technology. As a result, there are very few market-ready blockchain banking products and organisations are unable to realise the promised value. This paper presents an overview of the banking sector’s blockchain use cases, design and implementation considerations and techniques. The aim is to offer an evidence-based primer to guide researchers and practitioners. The study relies on the systematic...
Comprehensive Review of Multimodal Medical Data Analysis: Open Issues and Future Research Directions
Shashank Shetty, Ananthanarayana V S, Ajit Mahale
Acta Informatica Pragensia 2022, 11(3), 423-457 | DOI: 10.18267/j.aip.2028093
Over the past few decades, the enormous expansion of medical data has led to searching for ways of data analysis in smart healthcare systems. Acquisition of data from pictures, archives, communication systems, electronic health records, online documents, radiology reports and clinical records of different styles with specific numerical information has given rise to the concept of multimodality and the need for machine learning and deep learning techniques in the analysis of the healthcare system. Medical data play a vital role in medical education and diagnosis; determining dependency between distinct modalities is essential. This paper gives a gist...
Miscellanea
Use of Intelligent Navigation and Crowd Collaboration for Automated Collection of Data on Transport Infrastructure
Tomáš Tvrzský
Acta Informatica Pragensia 2022, 11(3), 458-466 | DOI: 10.18267/j.aip.1952653
The article briefly presents the main results of an applied research project to the professional public. The project output is a solution that enables the recognition of selected types of traffic signs using artificial intelligence for image recognition. This computationally intensive process is implemented in mobile phones. In order to achieve the involvement of the general public in the collection of data on transport infrastructure, the entire solution is part of navigation for mobile phones and supported by two functions that motivate users to collect data, i.e., scan the area in front of the vehicle with the phone's camera. The first function...