A psychometric approach to email authorship assertion in an organization

Email services have become an integral aspect of modern communication. Emails can be transmitted digitally without the adequate authentication sender. As a result, there has been considerable surge in security threats coming from email communication, such as phishing, spear whaling, and malware deposition through emails where recipients duped into acting. Authorship assertion sender prevent several issues, particularly organizational setting employee’s trust compromised by faking colleague or senior exposing any specific system weakness. A psychometric approach to determining authorship organization is proposed this research. Machine learning (ML) models developed using four classification algorithms. The performance these ML compared.