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dc.contributor.authorThamel
dc.contributor.authorWKA
dc.date.accessioned2019-11-20T17:13:13Z
dc.date.available2019-11-20T17:13:13Z
dc.date.issued2019
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2260
dc.description.abstractSpam mail generating and spreading is happening on email servers. There is no fully automated mechanism to remove the generated spam mails and normalize the email queues without the interaction of humans. Then System Administrator has to reset the password of the infected mail address. On this research, our objectives are to remove the generated spam mails from mail queue, reset the password if infected mail address fully automated and notify to the System Administrator via a simple notification email. Here we are using the mail removing mechanism according to the threshold value and reset the login credentials according to the username of the email address. Once the threshold value was exceeded the on of email address, the system will remove the generated spam emails and normalize the email queue. Then the system will generate the random password for that compromised email address using the first three letters of the email id, first three letters of the domain name and the date that mail id was compromised. Then send the new login credentials to the System Administrator via simple notification email. [We can adjust the threshold value according to the email id list.] From this research we were able to reduce the spam mail spreading to the other servers. Also, we have implemented this mechanism for the corporate level email servers and got successful results. And it was helpful to keep the good reputation of the email server IP address and avoid the domain name blacklisting on RBLs. .
dc.language.isoenen_US
dc.subjectSpamen_US
dc.subjectAutomateden_US
dc.subjectThresholden_US
dc.subjectCredentialen_US
dc.subjectRBLen_US
dc.titleFull-Automated Spam Mail Removing Linux-Based Email Server Systemen_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDUIRC-2019en_US
dc.identifier.pgnos314-317en_US


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