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EnglishPhishing e-mails are used by malicious actors with the aim of obtaining sensitive information from a victim, deceiving or blackmailing them. An inattentive or uninformed user may often fail to recognise if an e-mail is sent by an authentic sender or is a scam. We therefore sought to develop a method that can effectively and efficiently detect phishing e-mails and report them to the user. We analyse all the information available on receipt of the e-mail both statically and performing text mining on the content and subject of the e-mail. In addition to indicating weather e-mails are suspicious, the degree of accuracy with which the above statement is made is also reported, and the aspects of the e-mail that are characteristic of a phishing e-mail are highlighted. Excellent results were achieved with our methodology, reaching 99.2% accuracy.
Detecting phishing e-mails using text mining and features analysis / Franchina, L.; Ferracci, S.; Palmaro, F.. - 2940:(2021), pp. 106-119. ((Intervento presentato al convegno 5th Italian Conference on Cybersecurity, ITASEC 2021 tenutosi a Online Conference.
| Titolo: | Detecting phishing e-mails using text mining and features analysis | |
| Autori: | ||
| Data di pubblicazione: | 2021 | |
| Serie: | ||
| Citazione: | Detecting phishing e-mails using text mining and features analysis / Franchina, L.; Ferracci, S.; Palmaro, F.. - 2940:(2021), pp. 106-119. ((Intervento presentato al convegno 5th Italian Conference on Cybersecurity, ITASEC 2021 tenutosi a Online Conference. | |
| Handle: | http://hdl.handle.net/11573/1614953 | |
| Appartiene alla tipologia: | 04b Atto di convegno in volume |
File allegati a questo prodotto
| File | Note | Tipologia | Licenza | |
|---|---|---|---|---|
| Franchina_Detecting_2021.pdf | http://ceur-ws.org/Vol-2940/paper10.pdf | Versione editoriale (versione pubblicata con il layout dell'editore) |  | Open Access Visualizza/Apri |
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