Authors - K.Poorani, K Karan, R Seenivasan, V Ramkumar Abstract - Older email detection technologies have struggled to accurately iden tify malicious emails in the face of the latest techniques attackers use to compro mise victims. While modern solutions perform well in detecting malicious emails, they are not completely foolproof. As a result, malicious emails can still reach a user’s mailbox, necessitating measures to reduce potential harm. This study suggests transforming the decision-making processes of recent algorithms into a white-box model, enabling transparency in decision-making through Ex plainable AI. This is achieved by having the proposed model compute confidence level scores for each email, which users can use to exercise caution if a malicious email slips into their inbox.
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