Integrated SPAM detection for multilingual emails

Autor: S. Kalyankumar, Akash Iyengar, S. GunaNandhini, G. Kalpana
Rok vydání: 2017
Předmět:
Zdroj: 2017 International Conference on Information Communication and Embedded Systems (ICICES).
DOI: 10.1109/icices.2017.8070784
Popis: Emails and social communication is the newest and easiest way of data communication. Although Electronic communications are facile in nature, it is equally easy to attack these services with an intention of fraud and trickery motivation. The cyberpunks use emails to obtain valuable credentials which could be used in many ways. A simple looking mail can include phishing URLs for purloin of important information. To avoid such criminal activities, perceive and filter such kinds of mails, an integrated approach is used. Each email provider has their own filtering system or technique, but most of them don't work to their full capacity. There are instances where an email in native language or any other language other than English can be considered genuine. The objective of the paper is to overcome this problem by using an integrated technique to increase the efficiency of detecting and filtering the emails.
Databáze: OpenAIRE