Protect Your Emails With Email Spam Filtering Service

Unsolicited email or spam emails is one of the major growing problem in the world of internet. It involves sending identical messages to numerous recipients via email. Email spam has steadily grown since the early 1990’s. Botnets, networks of virus-infected computers, used to send about 80% of spam. And it doesn’t cost much to a sender of spam emails than to the recipient; since that time, spam emails filled with viruses have become a headache for every internet user.

Your personal emails or PCs can be protected very easily when it comes to internet security with help of various free email security tools; but organizations which work on large servers and use their own email accounts for work they have to go for a strong email spam filter service. In this case there are two types of spam filtering; client-based and server-based. Client-based systems run on end-user machines, while server-based systems run either at the SMTP relay or the POP/IMAP server. Of the client-based systems, some are integrated with email clients while others run as separate applications.

There are three common methods used by email spam filtering service software to detect spam, namely, signature filtering, blacklist / white list, and pattern matching. Many packages employ two or more of these methods to provide spam protection.

Signature Filtering: works in a manner similar to virus scanning: some central authority maintains a database of known spam signatures (a signature is the result of an algorithm that produces a comparatively short string of characters to uniquely identify a longer message). If a user receives an unwanted message that is not currently included in the signature database, the user can then submit the message to the database authority. A signature of the message is then calculated and included in the database. Subsequently, that message is blocked as spam for all users.

Blacklist/Whitelist Filtering: works by maintaining a list of the email addresses or domains of known spammers and another list of known-good senders. Any messages originating from or routed through an address or domain on the blacklist are rejected and any messages from an address or domain on the whitelist are accepted. Some packages use only a blacklist, some use only a whitelist and some use both. For blacklists, many packages use a central database (similar to a signature database), some use a site-local database and others require each user to define their own blacklist. For whitelists, most packages require users to create their own list.

Pattern Matching: defines a set of criteria that potentially indicate when a message is spam. Such criteria include lines of text in all caps, phrases frequently included in spam, suspicious header lines, etc. Typically, each criterion is assigned a point value. The user can then set the point threshold, and any messages that score at or higher than the threshold is marked as spam. Some newer systems allow the user to 'train' the software to recognize spam or exempt messages from being identified as spam.

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