Chunduru Anilkumar, Aravind Karrothu, Nandam Sri Mouli, Chaduvula Bhanu Tej
{"title":"Recognition and Processing of phishing Emails Using NLP: A Survey","authors":"Chunduru Anilkumar, Aravind Karrothu, Nandam Sri Mouli, Chaduvula Bhanu Tej","doi":"10.1109/ICCCI56745.2023.10128481","DOIUrl":null,"url":null,"abstract":"Email is preferred by both individuals and businesses as one of the most important forms of communication. Despite the popularity of alternatives like electronic communications, mobile applications, and social networks, email usage and importance have been raising continuously. Phishing is the fraudulent practice of stealing any person’s confidential information, such as financial details, login information etc. In which they look completely authentic and genuine and extremely hard for victim to detect whether the mail is spam or not. Moreover, the number of phishing emails is growing daily. So, handling of phishing emails is a crucial research issue. NLP techniques are useful for training data to detect spam content. In this work we studied leading research areas in phishing email detection and features used in spam emails. Feature extraction and selection plays a key role in phishing email detection. This paper also explains how actually the phishing attack happens and obtained results including information about concepts of natural language processing and working procedure.","PeriodicalId":205683,"journal":{"name":"2023 International Conference on Computer Communication and Informatics (ICCCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Computer Communication and Informatics (ICCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI56745.2023.10128481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Email is preferred by both individuals and businesses as one of the most important forms of communication. Despite the popularity of alternatives like electronic communications, mobile applications, and social networks, email usage and importance have been raising continuously. Phishing is the fraudulent practice of stealing any person’s confidential information, such as financial details, login information etc. In which they look completely authentic and genuine and extremely hard for victim to detect whether the mail is spam or not. Moreover, the number of phishing emails is growing daily. So, handling of phishing emails is a crucial research issue. NLP techniques are useful for training data to detect spam content. In this work we studied leading research areas in phishing email detection and features used in spam emails. Feature extraction and selection plays a key role in phishing email detection. This paper also explains how actually the phishing attack happens and obtained results including information about concepts of natural language processing and working procedure.