## 3 Related Work
Thus, the authors have found that malware running in this manner inflicts the most damage on the attacked system. In [13], the authors develop a hybrid cyber-attack model in which integrity attack and availability attack are combined. Thus, the control center will be confused and will not beable to detect this attack, resulting in potential damage to the attacked system. The results show that the hybrid attack confuses the control center by manipulating the integrity of the data obtained from the continuous measurements in the system. The model developed by the authors can be used as an effective tool in the study of complex Cyber-Physical Power Systems (CPPSs), including, for example, in the evaluation of different attack strategies. In [14], the authors propose an optimized approach for active attack detection in constrained Cyber-Physical Systems (CPS). Their research mainly focuses on a specific type of DoS (Denial of Service) attack called the Prevented Actuation Attack and how to identify it. During this attack, the attacker prevents the exchange of information between a control station and actuators. To detect the attack, the authors propose the use of parallel detectors based on a multiple-model adaptive estimation approach to detect the attack and identify which actuator is under attack. In [15], the authors consider the possibility of wind generators being the target of a distributed denial-of-service (DDoS) attack. The objective of their work is to verify whether IP network modeling platforms are effective in creating a fault-tolerant system to provide information about cybersecurity in the context of wind power. The platform used is GNS3. Using it, the authors will develop a new fault-tolerant system. In [16], the authors make an in-depth review of vulnerabilities in an inverter-based power system. Additionally, a review of possible ways to detect an attack as well as mitigate the impact of the attack on the system is conducted. A review of various modeling and simulation platforms for different scenarios related to cyber security research on power electronic devices is presented. A further comparison is made for which cyber-attacks are possible for which type of grid, and with which simulation tool different cyber-attacks can be simulated. In [17], the authors discuss the vulnerabilities in a battery management system (BMS) and which cyber-attacks can exploit these vulnerabilities. In order to secure such a system from cyber-attacks, the authors propose the use of blockchain technology. The authors propose the use of a blockchain and their proposal as a basic reference for BMS system developers. Thus, future BMS systems will be protected from cyber-attacks. In [18], the authors consider the probability that one charging station out of all of them will be compromised. In this work, the authors consider the impact of a false data injection (FDI) attack, as well as hijacking attacks. The authors have simulated hijacking of a subscriber's phone as well as an FDI attack against a charging station. The results of the simulation show significant malicious consequences when only one of the charging stations is compromised. Additional research on this topic can be found in [19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30]. In summary, the following can be stated: PEDs and the systems in which PEDs are used, such as microgrids, energy storage systems, electric vehicles, and many others can now be considered as end devices/hosts of communication networks, and in particular, the IP network. As such, they are already subject to, and can fall victim to, various cyber-attacks, as shown by the carried-out literature review. Therefore, research in this area of power electronics is now of paramount importance, as well as the standard research in power electronics such as power converter energy efficiency, new circuit designs for converters, etc. The main tools that are used for the performed studies from the authors above are the network simulation platforms.