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Spamassassin alternatives
Spamassassin alternatives






spamassassin alternatives

#SPAMASSASSIN ALTERNATIVES SOFTWARE#

Traditional researchers often develop successful but complex base classifiers that are difficult to conveniently deploy in current computer software and hardware configurations, forgetting to give support to available tools like SpamAssassin. Moreover, developers can build new plugins and integrate them into the SpamAssassin framework or distribute them in a separated form (Holler and Valdes, 2006), extending the set of initial available techniques. All GNU/Linux distributions include a set of rules providing a default filter that system administrators can customize by enabling or disabling plugins and/or adding more specific rules. Related to these capabilities, SpamAssassin includes a set of preconfigured techniques (including Naïve Bayes, RBL/RWL, Regex Engine, SPF filter, etc.) developed as plugins that can be easily combined and weighted through the use of scored rules. The popularity of SpamAssassin has been growing during the last years and several commercial applications have also been developed using it as a middleware or framework (McAfee, 2011, Symantec, 2011).Įven though SpamAssassin is commonly treated just as an extremely effective filter, in fact it is a fully operational framework that can be used as a spam filter development tool. One of the most relevant products is SpamAssassin software (SpamAssassin, 2011), an open source spam filtering package written in the Perl programming language and included in several common GNU/Linux distributions. Moreover, several commercial products have been released and distributed from the software industry to a huge amount of final users with the goal of minimizing spam drawbacks. In this context, much valuable research work has been previously carried out (Androutsopoulos et al., 2004, Delany et al., 2005, Guzella and Caminhas, 2009, Hu et al., 2010, Lai et al., 2009) and some relevant conferences (such as CEAS 1) have grown up in the field. ideally eliminate it), both theoretical and applied research on spam filtering becomes fundamental. In order to successfully fight against spam (i.e. During September 2010, the percentage of spam deliveries accounted for about 92% of all Internet e-mail traffic (Marcus et al., 2009, MessageLabs Ltd., 2010). This situation has led to a progressive increasing of the spam global ratio in e-mail traffic. Every day e-mail users receive lots of messages containing offers to buy illegal drugs, replicas of Swiss watches, fake jobs, forged university diplomas, etc. In this context, spam is a term used to designate all forms of unsolicited commercial and can be formally defined as an electronic message satisfying the following two conditions: (i) the recipient's personal identity and context are irrelevant because the message is equally applicable to many other potential recipients and (ii) the recipient has not verifiably granted deliberate, explicit, and still-revocable permission for it to be sent (SpamHaus, 1998).ĭue to some attractive characteristics of e-mail (low cost and fast delivery) it actually becomes the main distribution channel of spam contents. However, for more than one decade the use of e-mail has been bedeviled by the curse of spamming, so spam is beginning to undermine the integrity of e-mail and even to discourage its use. Nowadays, e-mail addresses are present on every business card close to other relevant contact info such as the postal address or the phone number. The e-mail service is a computer-based technology built as the result of transforming the old postal delivery in order to use it over networks and Internet.








Spamassassin alternatives