Survey: Cybersecurity Vulnerabilities, Attacks and Solutions in the Medical Domain <s> B. DATABASE 1) DATABASE ATTACKS <s> On the basis of analyzing of research achievements of typical vulnerability taxonomies in the world, a privilege-escalating based vulnerability taxonomy with multidimensional quantitative attribute is presented in this paper. Then we give examples of three vulnerabilities to illustrate the characteristics of this taxonomy, and present the risk evaluation formula and ranks of the evaluation level of risk. <s> BIB001 </s> Survey: Cybersecurity Vulnerabilities, Attacks and Solutions in the Medical Domain <s> B. DATABASE 1) DATABASE ATTACKS <s> Use of internet increases day by day so securing network and data is a big issue. So, it is very important to maintain security to ensure safe and trusted communication of information between different organizations. Because of these IDS is a very useful component of computer and network security. IDS system is used by many organizations or industries to detect the weakness in their security, documenting previous attacks and threats and preventing all of this from violating security policies. Because of these advantages, this system is important in system security. In this paper, we find a multilevel solution for different approaches (attacks) based on intrusion detection system. In this paper, we identify different attacks and find the solutions for different type of attacks such as DDOS, SQL injection and Brute force attack. In this case, we use client-server architecture. To implement this we maintain profile of user and base on this we find normal user or attacker when system find that attack is present then it directly block the attack. <s> BIB002
In a digital society, information resource utilization and effective management are prerequisites for decision management and scientific research. In the medical area, databases are used to store electronic medical record information, medical equipment information, relative website data, etc. An attack on a database in the medical area will cause doctors to be unable to retrieve patient information, which may delay treatment. This survey focuses on five major attacks that greatly affect the database functionality in the medical domain, which include: password intrusion  , elevation of privilege BIB001 , vulnerability intrusion  , SQL injection BIB002 and backup theft, as depicted in Figure 5 . The principles of the five main approaches are shown in Table 3 :