The systems administrators have caused more attack to the system than the external hackers over the years. Researchers have equally updated literature on new approaches to attack the menace. However, just detecting or classifying the problem using machine learning is not enough, there should be an approach that could as well make recommendations on what to do if an admin is the attacker....
You are correct that system administrators can pose a significant threat to the security of a system, and it is important to have effective measures in place to detect and prevent such attacks. Machine learning can be a useful tool for detecting and classifying attacks, but it is important to have a comprehensive approach that includes recommendations on how to address the problem, particularly if the attacker is a system administrator.
One approach to addressing this problem is to implement a system of checks and balances that involves multiple levels of authorization and oversight. For example, a system could require multiple administrators to sign off on critical system changes, or it could implement a system of audit logs to track all changes made to the system. These measures can help to prevent malicious activity by individual administrators and provide a record of all changes made to the system.
Another approach is to implement a system of automatic alerts or notifications that can be triggered when certain types of activity are detected. For example, if an administrator attempts to access files or systems that are outside of their normal job responsibilities, an alert could be sent to other administrators or security personnel. This can help to quickly identify potential security breaches and take appropriate action to address them.
Furthermore, machine learning algorithms can be trained to not only detect malicious behavior by administrators, but also to make recommendations on how to address the issue. For example, a machine learning algorithm could analyze the behavior of an administrator and recommend changes to the access and authorization policies of the system to prevent future attacks. Additionally, machine learning can be used to identify potential weak points in the system and recommend changes to strengthen the system's security posture.
In summary, detecting and classifying the problem of system administrators causing security breaches using machine learning is an important step, but it is equally important to have an approach that includes recommendations on how to address the issue. Implementing a system of checks and balances, automatic alerts and notifications, and using machine learning to make recommendations can help prevent malicious activity by system administrators and improve the overall security of the system.
if you have application like email server, web, db then external and internal firewall may be used.
all such type of server should be behind internal firewall and only required port to be opened by default all port should be blocked.
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