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ICONS International Journal of Computer Science and Network Security, VOL.21 No.12, December 2021213Phishing Attack Detection Using Deep Learning Sarah M. Al-Zahrawi Department of Computer Science,
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Educate employees on common social engineering tactics
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Implement employee training programs on how to recognize and respond to social engineering attempts
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Regularly review and update security policies and procedures to address social engineering risks

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Social engineering attack detection refers to the process of identifying and recognizing attempts by malicious actors to manipulate individuals into divulging sensitive information.
Organizations and businesses that are subject to cybersecurity regulations or standards may be required to file social engineering attack detection reports.
Social engineering attack detection reports can be filled out by documenting the details of any attempted or successful attacks, including methods used and impact on the organization.
The purpose of social engineering attack detection is to mitigate risks associated with social engineering attacks and protect sensitive information from being compromised.
Information such as the type of attack, target individuals, success rate, and any stolen information must be reported on social engineering attack detection forms.
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