Email security using pattern classifiers And voice recognition
V.A. Nivedha, Abbai Reddy Divya, U. Jyothilakshmi · Asian Journal of Computer Science And Information Technology · 2015
On purpose of achieving efficient similarity matching and reducing storage utilization, prior works mainly represent each e-mail by a succinct abstraction derived from e-mail content text.High effective authentication with the purpose of log on to the email service securely and efficient spamming are taken into consideration.Fractal detection and recognition is an unique method to identify every human being, this concept is more effective in terms of authenticating into the service. Spam can be defined as any unsolicited email. Outline the tags and automatic parsing of the HTML tags and read the data from each tuple.Compare the tags with the keywords and URL’s located in our repository using top down parsing keyword search algorithm. If the data in the tags matched, then the email will be identified as the spam email.We are notifying all the Private Domain related to the spam emails and URL’s received in the email will be repositised for future email rejections and can be maintained by an administrator. Voice recognition concept also be implemented to make the system more user interactive.