Improving situational awareness in detecting cyber attacks aimed at cyber espionage with evidence-based statistics based on the process of maitre attacks

Document Type : Original Article

Author

teacher

Abstract

In the current digital age, cyber espionage attacks harm many organizations and individuals. Therefore, providing a suitable solution to detect these attacks and identify the attackers is vital. The purpose of this research is to improve situational awareness in the detection of cyber attacks with the aim of cyber espionage with statistics and evidence based on the process of Maitre attacks. Situational awareness and detection of cyber attacks have been used. The most important measures in this thesis were the design of the cyber espionage process, the extraction of the steps of the attackers from the matrix matrix, the statistics of the actions and evidence and evidence of the attack and the validation of the attack detection methods from the experts in the field of cyber defense, and the results obtained are that a compilation of 14 steps, 37 actions of the attacker, 190 clues and evidence, 36 proposed solutions that can be effective in detecting cyber attacks with the purpose of espionage and information theft. It should be noted that we used Cronbach's alpha, which is the most common statistical method, to check the internal consistency (reliability) of the surveys. The average of all survey questions is 0.982, which indicates that the reliability of our survey is within an acceptable range.

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