April 2009 - Posts
I'd like to continue on in my series on measuring the effectiveness of a spam filter. The requirements I have so far is that is has to be continuous, statistically relevant, automated, and transparent to end users. There is one more requirement.
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Following on from my last post, there are a couple of more considerations that we have to take into account if we want to measure a spam filter's effectiveness. I have already hit on three points (continuous, automated, need a lot of mail).
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Continuing on from my previous post, I'd like to get into more of the considerations when it comes to measuring spam effectiveness. I'm going to combine topics in this post. Measurement has to be automated, and statistically relevant When it comes
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Following on from my previous post on Waledac data, I decided to have a look-see on the distribution of the IPs that were sending spam. Here's the table of the breakdown by date, the average spam percentage of the IPs sending the mail (as measured
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Story time. A couple of years ago, I was tasked with coming up with a mechanism to measuring how good our filters were on spam. At the time, we had a rough idea of where we were. We could kind of tell by looking at abuse statistics; if more
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Following in the footsteps of Conficker, the Waledac worm has been spreading throughout the world, infecting piles of computers in its wake. I found another site that listed some of the URLs associated with the Waledac malware. I checked some
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Of all the types of spam that make use of deception (ie, all of them), the most damaging of all of them are phishing messages. Phishing messages are when a spammer impersonates a legitimate entity -- a form of reputation hijacking -- in an attempt
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I was reading in today's issue of the Financial Times that Gartner reported that 5m (million?) US consumers lost money due to phishing attacks in the 12 months up to September 2008, up 40% from the previous year. The percentage of funds retrieved
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Microsoft released it's 2008 Security and Intelligence Report on April 7, 2009. A number of news sources picked up the story and are reporting on a certain statistic. I'll quote various sources. The BBC : More than 97% of all e-mails sent
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I got a couple of spam messages in my Gmail inbox the other day. Don't let that come as a surprise to you (the fact that I have a Gmail account), I have multiple email accounts. I have Gmail, Yahoo and Hotmail, as well as my Frontbridge and
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