## 3 Related Work  
In [4], the authors review the cyber dangers to which electric vehicles may be exposed. Several examples of realized cyber-attacks against EVs (Electric Vehicles) and the outcome of these attacks are discussed. Additionally, the authors verify their research in which they model a cyber-attack against an electric vehicle while it is charging (data exchange mode with the charging network). Finally, a model developed by the authors for an innovative system to protect electric vehicles from cyber-attacks is presented. In [5], the authors make a thorough review of possible vulnerabilities and attacks against an AC (alternating current) smart grid-tied voltage-source-converter system. They extensively consider what would happen to any single PED in such a grid. Additionally, ways to mitigate the damage from cyber-attacks are discussed. Finally, future trends and challenges related to cyber security of smart grid applications are discussed. In [6], the authors survey the vulnerabilities that are specific to a Smart Grid. The vulnerabilities are divided by sectors--security of control systems; smart meters security; security of state estimation; security of the communications network. For each of these Smart Grid sectors, an overview of the vulnerabilities that are unique to that sector is provided. In [7], the authors propose the use of neural network multilayer long short-term memory networks (MLSTM) to detect data integrity attacks (DIA). These are cyber-attacks whose goal is to insert false data or replace part of the exchanged data to make the attacked system make wrong decisions. To repel this type of attack, the authors propose the use of only one voltage sensor and only one current sensor, whereby the information from these sensors is transmitted to the artificial neural network, which will process the information and make decisions about the presence of attacks. In [8], the authors consider the possibility of \"infecting\" an EV charging network by using an infected EV plugged in to charge. Due to the possibility of \"infecting\" an EV while it is charging, the authors propose a method that they developed to secure the battery management systems (BMS) of the EV by using Moving Target Defense (MTD) technology. This is an automated cyber defense against multiple cyber-attacks. It is a technology that prevents or stops entirely multiple memory impacting attacks. In [9], the authors consider the possibility and propose to use software-defined networks to control Microgrids in order to regulate the frequency and voltage of Microgrids that are connected to communication networks. In addition to control, software-defined networks can also be used to enhance the protection of Microgrids against potential cyber-attacks. To validate the feasibility of their proposal, multiple simulations were conducted using Matlab/Simulink and GNS3. In [10], the authors review the different types of cyber-attacks that battery energy storage systems (BESSs) can be subjected to. In order to prevent or minimize the probability of any cyber-attack being deployed against BESSs, the authors propose the use of blockchain technology combined with artificial intelligence and machine learning to detect false data injection attacks during the operation of BESSs. In [11], the authors review a microgrid and some of its security vulnerabilities. They also discuss the technologies SOAR (Security Orchestration, Automation, and Response), ML/AI (Machine Learning/Artificial Intelligence), and Blockchain technology, and how these technologies can provide a microgrid with a security solution against cyber-attacks. In [12], the authors consider what would be the outcome of a cyber-attack with malware in Cyber-Physical Power Systems (CPPSs). Additionally, the authors address how the timing of the malware attack is of particular importance. Until this time X occurs (time X is the point when enough hosts are infected), the malware is in hibernation/incubation mode (in this mode, the malware only infects hosts without attacking the system).