based on that study the antispam program takes

Anti-spam program is the only solution we have now to halt unwanted email messages. As far as the developers anti-spam programs get better, the spammers improve their spam methods. Adding trusted email addresses to the white list is not rather safe as it appears to be.com. By telling the Bayesian filters that this message is spam and that one is legitimate, you instruct the filters to distinguish the emails that you personally believe to be spam. Whenever you loosen the rules, you will get more Spam mail in your inbox. Beforehand the determination if a specific email messages is legitimate or spam was made based on how this message was measured up against a common predetermined profile of Spam.Another best technology in fighting spam e-mails and a step forward in the analysis methods is the Bayesian filters.Legislative standards failed stop Spam e-mails up till today. 

The anti-spam program examines incoming email messages and determines whether the email message content contains a known predetermined profile of Spam. Let’s see why this happen.Most common technique that most anti-spam program to find Spam e-mails is review method. If you get numerous false positives, you will need to read all the Spam emails searching for good messages in the middle of the rubbish. Such kind of spam emails is raising in fame for spammers now. The Bayesian filters audit your own inbox and build the databases of good and spam words based on your own incoming email messages. Some advanced methods allow spammers create an email message that appears in a different way to a human person than the equivalent message is read by a program, for instance, when an email message contains a text readable for the recipient but the program sees it as a picture. In view of the fact that Spam is essentially a human problem you can do something about it using anti-spam technology. 

Although there is no flawless solution for the Spam problem today, mind and keep your anti-spam filters in fighting trim. That is why we get V1agra and C1alis and a lot of some other misspelled phrases in spam emails.Simply put, the war between the spammers and their victims keeps going. Spammers can as well try an anti-spam program to shape their email messages so that they will get around the filters. Whenever the policies are too strict, the program will stop all the Spam with the chance to block some non-span email messages. Spammers do not use actual email addresses to send spam. But this totally confutes the necessity of anti-spam programs. At best this approach can determine most of the Spam emails allowing only a few ones getting through. Something as if it asks a question “Does this message look as Spam?”, and based on that study the anti-spam program takes the final conclusion to allow the specified email message or move it to the junk email list.

 If you blacklist all the spammers’ emails, this will consequence in the blacklist of an endless size and slower work of anti-spam software. A non-spam email falsely blocked as China Double Shaft Rod Cylinder Manufacturers spam is referring as false positive. It is not an infallible technique yet. It is not likely to add whole the email addresses or even email domains to the blacklist either. Today computer virus is well-known to use the email addresses from different address books to fake the messages and send themselves out.The analysis technique is not as dependable as it looks. Today you get a spam email from this domain and tomorrow you can receive the very same spam email from a different domain.The main weakness of the analysis technique is that the filters that work very well today can stop working tomorrow. This makes potential to correct the Bayesian filters for every user as the idea of Spam is prejudiced to some extent.White list and Blacklist do not solve the problem either.