Jan Nikodem

This research paper discusses the current state of Internet of Things (IoT) security in relation to smart bot technology and suggests actions to mitigate IoT weaponization threats. One of the most dangerous cyberattack activities is infecting IoT devices with malware to gain control of their operations. This allows attackers to combine the computational power of infected devices to form a botnet, which can then be used to carry out Distributed Denial of Service (DDoS) attacks against specified IP addresses. The aim is to overwhelm the target IP address servers with requests and prevent them from servicing legitimate requests from other users, thereby degrading the availability of the target's services and resources. This paper aims to analyze IoT DDoS attacks or weaponization of IoT to determine the most effective methods of eliminating such threats and preventing serious damage to IoT infrastructure and business-related data. We will describe what IoT weaponization malware is, outline its features, and discuss the most common IoT malware currently present on the Internet. We will then analyze the Mirai source code to fully understand its qualities, including attack types and operations, that allowed it to remain effective.

This paper discusses an application of motion capture in longsword fencing, a discipline experiencing rising popularity since the 1990s. Historical European Martial Arts alliance focuses on re-enacting the Late Middle Ages and Renaissance fighting styles. To popularize this art, novel research to automatically distinguish selected sword cutting techniques has been conducted. The fencing knowledge required for conducting this research was based on publications and consultation with experts in the field, and recordings. For this research, different movements from Masterstrikes such as Zornhau (Strike of Wrath), Schielhau (Squinting Strike), Zwerchhau (Cross Strike), Krumphau (Crooked Strike), Scheitelhau (Crown Strike) were selected. Motions performed by an adept fencer (acting expert) were used as patterns of correct strikes and compared with the movements of fencing amateurs. The main goal of this research was to measure the precision of movement while performing five different fencing strokes. Each movement was recorded with 39 unique full-body plug-in gait configurations initially designed for medical applications. During the exercise, 16 EMG electrodes configuration was used for the measurement of muscle activity.