• Mohammed Arshan Uddin
• Dr. Mohd Abdul Nayeem
• Syed Sarfaraz Pasha
• Syed Fasih Ur Rehman

The spam emails is among the most serious threats on the globe today, causing massive financial losses. Despite the confrontation methods always being updated, the consequences of such tactics are now unpalatable. Furthermore, scam mails are spreading at an alarming rate lately. In this way, it is envisaged that more effective fraud detection technology will limit the risk of misleading communication. In our research, the design of email is first analyzed thoroughly, next with the help of enhanced deep neural networks’ theory which employs asymmetrical variables and an evaluation tool a malicious email tracking concept is presented. It is capable of revealing information encrypted inside the electronic document, email content and attachments.

cybercrime activities, fraudulent messages, phishing detection, spoofing e-mails.

"DETECTION OF SPOOFING ELECTRONIC MESSAGES THROUGH UPGRADED R-CNN MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.a546-a552, June-2022, Available :http://www.jetir.org/papers/JETIR2206063.pdf

"DETECTION OF SPOOFING ELECTRONIC MESSAGES THROUGH UPGRADED R-CNN MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppa546-a552, June-2022, Available at : http://www.jetir.org/papers/JETIR2206063.pdf