• Mrs. A SAJITHA BEGAM
• ABINANDHAN P
• MUMMURTHI G
• NAVEEN R

E-mail is a crucial tool for completing transactions and increases the performance of organizational techniques to increase productivity. Hacking, spoofing, phishing, E-mail bombing, whaling, and spamming are all e-mail-related cybercrimes. As a result, to prevent cyber assaults and crimes proactive records evaluation is essential. Because communication semantics aid in identifying the source of potential evidence, it's necessary to look into both the email header and the email body while looking into crimes committed by email. Investigators are now faced with the arduous task of extracting significant semantic information from large quantities of emails, which has caused the investigation to be postponed. Existing email classification methods result in the erasure of critical information and/or the transmission of unnecessary emails. Given these constraints, the research suggests that E-mailSinkAPI, a revolutionary efficient approach for categorizing e-mails into four distinct classes: regular, fraudulent, threatening, and suspicious, be constructed using Long Short-Term Unit (LSTM) based Grated Recurrent Unit (GRU). The GRU employs LSTM to extract critical data from emails that may be used as proof in forensic investigations E-mailSinkAPI outperforms previous technology even by retaining a constant and dependable categorization process.

"E-MAILSINKAPI: DEEP LEARNING MULTICLASS E-MAIL CLASSIFICATION MODEL FOR FORENSIC ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h670-h676, April-2022, Available :http://www.jetir.org/papers/JETIR2204791.pdf

"E-MAILSINKAPI: DEEP LEARNING MULTICLASS E-MAIL CLASSIFICATION MODEL FOR FORENSIC ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph670-h676, April-2022, Available at : http://www.jetir.org/papers/JETIR2204791.pdf