spam-prevention

Closed. This question is off-topic. It is not currently accepting answers. Learn more . Want to improve this question? Update the question so it's on-topic for Stack Overflow. I am looking for a way to drop connections from known spam ip addresses on an Amazon's Elastic Load Balancer (ELB)? I am currently doing this at the web server level (multiple instances, running behind the ELB), but wondering if there is a way to do it at the ELB. This way, I can avoid configuring each web server instance for this. I typically pull the Drop List from Spamhause.org every day and update my web server

Trying to filter out spam from an online form. I have a hidden div with an input. The idea is that if something goes into the field, the form will ID the user as a bot and reject the submission. After trying to implement this method, the bots are still getting through. I'm not very familiar with javascript (or spam-filtration, for that matter) - here's what I'm working with: html (within the form): <form action="#" method='post' id='vsurvey' name='defer'> <div id="hp-div"> If you see this, leave this form field blank and invest in CSS support. <input type="text" name="question_20579" value=""

I got a problem at my blog. I got visits from kind bots who leave "nice" comments to my blog posts :( I'm wondering if there is a smarter way to keep them out, besides using the captcha modules. My problem with the captcha modules is that I thinks they are anoying to the user :( I don't know if it's any help to anyone but my site is in asp.net mvc beta. Have you thought about using this? http://akismet.com/ From their FAQ When a new comment, trackback, or pingback comes to your blog it is submitted to the Akismet web service which runs hundreds of tests on the comment and returns a thumbs up

I'm currently trying to generate a spam filter by analyzing a corpus I've amassed. I'm using the wikipedia entry http://en.wikipedia.org/wiki/Bayesian_spam_filtering to develop my classification code. I've implemented code to calculate probability that a message is spam given that it contains a specific word by implementing the following formula from the wiki: My PHP code: public function pSpaminess($word) { $ps = $this->pContentIsSpam(); $ph = $this->pContentIsHam(); $pws = $this->pWordInSpam($word); $pwh = $this->pWordInHam($word); $psw = ($pws * $ps) / ($pws * $ps + $pwh * $ph); return $psw

In other answers at Stackoverflow it's been suggested that Weka is good, but there are others ( Classifier4j , jBNC , Naiban ). Does anyone have actual experience with these? Thomi Weka is awesome, but Classifier4J is probably closer to what you want, since it's more aimed at text recognition. You could also have a look at the still very new Apache Mahout project. Another new library is ci-bayes , nice and very simple to use. disclaimer: I have submitted a patches to this project and am currently a committer 来源： https://stackoverflow.com/questions/480683/whats-the-best-open-source-java

I am looking for a Python library which does Bayesian Spam Filtering. I looked at SpamBayes and OpenBayes, but both seem to be unmaintained (I might be wrong). Can anyone suggest a good Python (or Clojure, Common Lisp, even Ruby) library which implements Bayesian Spam Filtering? Thanks in advance. Clarification : I am actually looking for a Bayesian Spam Classifier and not necessarily a spam filter. I just want to train it using some data and later tell me whether some given data is spam. Sorry for any confusion. Do you want spam filtering or Bayesian classification? For Bayesian