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Assistive technologies nowadays have an increasing application in overcoming the everyday needs of visually impaired persons. Going to the grocery store for groceries is a challenge for any visually impaired person who moves without a personal assistant. Creating a perception of the space in which the person is located and the possibility of orientation in such an environment is significantly reduced. The solutions and services currently available are based solely on reading products using some form of assistive technology. In this research, user needs were analyzed to define the necessary information to master the shopping process. The research aims to define a conceptual system architecture to deliver InnIoTShop information service to users moving through smart stores. The proposed architecture is based on the IoT concept, and an InnIoTShop service taxonomy has been created for this service. For data collection, processing, and fusion, the concept of Fog/Cloud Computing and M2M and M2H technology was used, which enables the adaptation of information to visually impaired persons. The paper also validated specific elements of the system architecture, which confirmed individual service functionalities' operation. [ABSTRACT FROM AUTHOR]

The everyday needs of people with disabilities represent a challenge in designing new and innovative services. The capabilities provided by modern communication technologies designed by assistive technology models can help people with disabilities perform their work tasks. The user environment has to be adapted to the guidelines of the universal design and services should be available regardless of user requirements. This paper proposes a conceptual model for informing the people with disabilities regardless of the disability degree using a smart wearable device (smart wristband). All relevant information is integrated through the warehouse management system to efficiently perform all the appropriate processes. Activity of informing users is viewed from multiple scenarios, the work environment and work tasks. For the purpose of real-time informing, industrial internet of things environment and appropriate sensors were used. The presented model aims at raising the quality of life for the people with disabilities in the work environment and rising business efficiency based on industry 4.0 concept. [ABSTRACT FROM AUTHOR]

Movement and informing visually impaired persons is difficult because mobile application solutions and services are unable to work in indoors environments (location based service using GPS technology). Main precondition for active participation in the daily living and needs of visually impaired persons is increased degree of mobility. The aim of this research is to increase the quality of life of visually impaired persons and the degree of mobility in indoor environments by applying modern information and communication technologies (Cloud Computing, Fog, IoT, AAL /ELE platform). User requirement will be used to define functionalities of service for informing visually impaired persons in the example of large retail chains. A conceptual system architecture model will be proposed for providing information service with the aim to provide real-time information to users. This research will also show simulation testing of the proposed architecture with Arduino Uno and Raspberry Pi 3 platforms for collecting information and informing end users. [ABSTRACT FROM AUTHOR]

The problem of detecting anomalies in network traffic caused by the distributed denial of service (DDoS) attack so far has mainly been investigated in terms of detection of illegitimate DDoS traffic generated by conventional terminal devices (PCs, laptops, mobile devices, tablets, servers). Technological development has resulted in the emergence of the Internet of Things (IoT) concept, whose implementation implies numerous terminal devices with a low level of implemented protection. The large growth and prediction of future growth is noticeable in the environment of a smart home and smart office. IoT devices in such environments are increasingly being used as a platform for generating DDoS traffic due to its numeracy and low level of protection. The aim of this research is to propose a novel approach for detection of DDoS traffic generated by IoT devices in a form of conceptual network anomaly detection model. Proposed conceptual model is based on device classes which are dependent on individual device traffic characteristics. [ABSTRACT FROM AUTHOR]

The number of people who use the Internet daily is steadily increasing. It makes daily chores easier and faster to do, but it also increases the danger of cyberattacks. Web-based solutions are frequently used to connect with manufacturing process monitoring, management, and supply chain communication in contemporary manufacturing systems and under Industry 4.0. Cross-Site Scripting assaults are one of the most widespread cyberattacks (XSS) forms. XSS attacks are examined in this study to provide a good foundation for attack simulation. The simulation was carried out with the help of the BeEF XSS framework. A basic HTML web page was developed to construct the malicious script for the simulation. The simulation data were gathered and evaluated to provide guidelines for preventing XSS attacks on end-users and Industry 4.0-like systems. This study provides reliable recommendations for improving end-user resilience against XSS attacks, which can help to mitigate the harmful impact of such attacks on Industry 4.0 systems. [ABSTRACT FROM AUTHOR]