• Miss. Amruta V. Mehendale

Email is still the most commonly used medium to launch phishing attacks [1]. The number of phishing emails is increasing tremendously day by day. Phishing email resulting in financial losses for organizations and annoying individual users. It poses a serious threat to the Internet economy. This need to be detected and prevented from attackers for not to elicit victim's sensitive information. The paper presents a comprehensive natural language-based scheme to detect phishing emails using features that are invariant and fundamentally characterize phishing. This scheme utilizes all the information present in an email, namely, the header, the links and the text in the body. Text in the email body contains some common features such as, a mention of monetary incentive and a sentence inducing the recipient to reply. Such texts are analysed using algorithm and distinguish between “legitimate” and “phishing” emails. To this end, it incorporate natural language techniques in phishing detection. This is crucial to prevent the victim from clicking any harmful links in the email. The implementation called PhishNet-NLP[2], operates between a user’s mail transfer agent (MTA) and mail user agent (MUA) and processes each arriving email for phishing attacks even before reaching the inbox.

IDENTIFICATION AND DETECTION OF PHISHING EMAIL USING NATURAL LANGUAGE PROCESSING TCHNIQUES

"IDENTIFICATION AND DETECTION OF PHISHING EMAIL USING NATURAL LANGUAGE PROCESSING TCHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.15-23, March-2019, Available :http://www.jetir.org/papers/JETIRAJ06003.pdf

"IDENTIFICATION AND DETECTION OF PHISHING EMAIL USING NATURAL LANGUAGE PROCESSING TCHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp15-23, March-2019, Available at : http://www.jetir.org/papers/JETIRAJ06003.pdf