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IMF Mihály Andó IT-IS 6 November 2006. Mihály Andó 2 / 11 6 November 2006 What is IMF? ­ Intelligent Message Filter ­ provides server-side message filtering,

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Presentation on theme: "IMF Mihály Andó IT-IS 6 November 2006. Mihály Andó 2 / 11 6 November 2006 What is IMF? ­ Intelligent Message Filter ­ provides server-side message filtering,"— Presentation transcript:

1 IMF Mihály Andó IT-IS 6 November 2006

2 Mihály Andó 2 / 11 6 November 2006 What is IMF? ­ Intelligent Message Filter ­ provides server-side message filtering, ­ Integrated with Exchange Server 2003 sp2, ­ Based on SmartScreen technology from Ms Research, - SmartScreen tracks over 500,000 e-mail characteristics based on data from hundreds of thousands of MSN Hotmail subscribers who volunteered to classify millions of e-mail messages as legitimate or as spam. ­ Per-message spam confidence level ratings, ­ Updates are available every first and third Wednesday (Automatic Updates).

3 Mihály Andó 3 / 11 6 November 2006 How it works? Action: - archive - delete - reject - no action Action: move to junk e-mail

4 Mihály Andó 4 / 11 6 November 2006 What is the SCL? ­ SCL: Spam Confidence Level ­ The server calculate one number for every mail, this is the SCL. ­ This is a number from 0 to 9. - 0 indicates lowest probability whereas 9 indicates near certainty of the email being spam - -1 = IMF is switch off.

5 Mihály Andó 5 / 11 6 November 2006 How to enable IMF for a user ? ­ Activate the Junk e-mail folder. - Safe Senders / Safe Recipients / Blocked Senders ­ ­ Precondition: IMF activated on gateways

6 Mihály Andó 6 / 11 6 November 2006 Test A – 100% SPAM SCL ThresholdMove to junk e-mail 7 13.5% 6 76.6% 5 91.1% 1 98.5% ­ ­ Test: - - More then 10000 e-mails extracted from mailboxes, all of them being spam - - Evaluation of spam detection rate using different threshold

7 Mihály Andó 7 / 11 6 November 2006 Test B – “good” mails SCL Threshold Move to Junk e-mail (false positive) 7 0.2% 6 2.1% 5 10% 1 52.2% ­ ­ Test: - - More then 10000 e-mails extracted from mailboxes, all of them being legitimate e-mails - - Evaluation of spam detection rate using different threshold

8 Mihály Andó 8 / 11 6 November 2006 Test A, B – summary SCL Spam detection rate False positive rate 7 13.5%0.2% 6 76.6%2.1% 5 91.1%10% 1 98.5%52.2%

9 Mihály Andó 9 / 11 6 November 2006 IMF / Cern spam tool ­ IMF limitations - Gateway threshold or store threshold, but no per user threshold !!! - Global white-list: only based on IP address  (but end-users can maintain their own white-list of senders or recipients) ­ CERN Spam tool features not in IMF - No filtering based on character sets - End-users can not white-list e-mails with a particular subject - No dynamic Bayesian filtering based on spams reported by end-users  Limitation or … benefit ? ­ IMF features not in CERN Spam tool - trust e-mails from your contacts (automatically, no need to upload your contacts on a regular basis)

10 Mihály Andó 10 / 11 6 November 2006 Conclusion ­ Rather efficient but lacking flexibility ­ Great improvements expected with Exchange 2007 / Forefront Security - Per user configuration, Daily updates of spam signature,… ­ In the meantime, we could - Continue evaluation by enabling IMF on gateways,  Enabling “junk e-mail” only for test users - Make Cern anti-spam solution compatible with the anti-spam framework of Exchange:  Use “SCL” instead of custom “cern spam score”  Introduce “junk e-mail”  Merge Cern with-list / Outlook with-list

11 Questions ? (25 CHF / question) 5 4 3 21 0


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