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White Paper for Spam Filter Express Spam Filter Express : Smart and Safe Anti-Spam Solution 1. Introduction: Spam Challenge and Solution You have probably seen an increase in the amount of junk mail which shows up in your email box, or on your favorite newsgroup. Are you annoyed, harassed, or just fed up with the chain letter email, a virus hoax, or a weight loss opportunity? If so, you’ve got the right place. Spam Filter Express can provide the best anti-spam solution for you. It is a powerful email filter that blocks spam emails before they reach your inbox! Spam Filter Express is a reliable and inexpensive antispam solution. It is also a great solution for protecting your security and privacy by blocking potentially damaging attachments and viruses - as well as annoying spam! Electronic mail is an open system, junk emails has flooded the system and is a daily nuisance of life. Email security has never been more fragile. Spam is unsolicited commercial email (UCE) or unsolicited bulk email (UBE) that a recipient does not want to receive. Spam is flooding the Internet with many copies of the same message and is already considered more annoying as telemarketing calls. It has become the single largest nuisance for Internet users. With over 30 billion e-mails being sent daily, some experts estimate that more than 60% of all e-mail sent today is spam, wasting time, money, and resources for individuals and businesses around the world. According to CAUCE (Coalition Against Unsolicited Commercial Email), the most common content of spam are:
How to block spam from our inbox is a big challenge for all email users? As email is becoming the most efficient and powerful tool for business, marketing, and everyday communication, more and more people are getting headache with the spam flooding the mailbox. Spam is unsolicited commercial e-mail or mail that annoy or inconvenience you. Spam is flooding the Internet with many copies of the same message and is already considered more annoying as telemarketing calls. As spam continues to proliferate and evolve into more and more of a security threat, Spam Filter Express offers improved filtering capabilities to address email users' most common concerns. This powerful spam filter software uses advanced Bayesian filtering technology to define whether a message is spam or not. With the self-learning, self-running and extremely precise Bayesian filter, Anti-Spam Express blocks 99% of incoming spam emails with near zero user management. [Download 21 days free trial version to Eliminate Spam right now!] 2. Overview of Spam Filter Express You have probably seen an increase in the amount of junk mail which shows up in your email box. Spam has become the single largest nuisance for Internet users. Some experts estimate that more than 60% of all e-mail sent today is spam, wasting time, money, and resources for individuals and businesses around the world.How to block spam from our inbox is a big challenge for all email users. As spam continues to evolve into more and more of a security threat, there are more and more anti-spam products trying to eliminate spam. Spam Filter Express is a reliable and inexpensive antispam solution. It can also protect your security and privacy by blocking potentially damaging attachments and viruses - as well as annoying spam! The Bayesian filtering technology is more accurate than other filtering methods because it recognizes not only spam, but also good e-mails. Spam Filter Express uses advanced Bayesian filtering technology to define whether a message is spam or not. With the self-learning, self-running and extremely precise Bayesian filter, Spam Filter Express blocks more than 99% of incoming spam emails with near zero false positive rate. Spam Filter Express automatically identifies incoming spam emails through a multi-level approach. For every message, the Spam Filter Express spam filter engine utilizes the powerful statistical content filtering algorithm to identify spam with an incredibly high accuracy rate, and a near-zero false positive rate. Spam Filter Express also creates a black and white lists and use it to compare the incoming email with information in the databases. Email that has been identified as spam is saved in the spam email folder. spam caught by Spam Filter Express can be checked by user to ensure that no legitimate mail is classified as spam. Spam Filter Express combines the latest in filtering technologies to identify and filter out incoming junk e-mail while, at the same time, being 100% false-positives-free thus allowing your legitimate mail through. Spam Filter Express is adaptive and provides seamless integration with Microsoft Outlook or Outlook Express.This anti-spam software eliminates email security overhead in the most convenient way. Spam Filter Express benefits you as follows:
System requirements:
What is Spam Filter Express? The Non-techinical Answer Spam Filter Express will attempt to classify incoming email messages as 'spam' or 'ham' (good, non-spam email)'. This means you can have spam automatically sorted in a different mail folder, where it won't interrupt your email reading. First Spam Filter Express must be trained by each user to identify spam and ham. Essentially, you show Spam Filter Express a pile of email that you like (ham) and a pile you don't like (spam). Spam Filter Express will then analyze the piles for clues as to what makes the spam and ham different. For example; different words, differences in the mailer headers and content style. The system then uses these clues to examine new messages. Spam Filter Express compares the spam and the ham and calculates probabilities. For some users, the word "weight" almost never occurs in legitimate email, but it occurs all the time in 'lose weight fast' spam. Spam Filter Express can then look at incoming email, extract the most significant clues and combine the probabilities to produce an overall rating of spam possibility. It flags the messages so that your mailer can handle the different message types. You might set it up so that ham goes straight through untouched, spam goes to a folder that which you can review for errors. [Download 21 days free trial version to Eliminate Spam right now!] 3. How Does Spam Filter Express Work? Spam Filter Express automatically identifies incoming spam e-mail through a multi-level approach. The email goes through the following stages: Whitelists and Blacklists-based Filtering and then Bayesian-based filtering. Email that has been identified as spam is saved in the spam email folder. spam caught by Spam Filter Express can be checked by user to ensure that no legitimate mail is classified as spam. Spam Filter Express combines the latest in filtering technologies to identify and filter out incoming junk e-mail while and is 100% false-positives-free allowing your legitimate mail through. Spammers are smart and are always trying to find ways to get around anti-spam systems, but you don't have to worry when you're under the protection of Spam Filter Express. This is because Spam Filter Express continuously learns and adapts itself to counter evolving spammers' tricks. So now you can afford to sit back and enjoy a spam-free e-mail experience. As emails come in, Spam Filter Express processes the mails with the above procedure, first Allowed/Blocked List Filtering and then Bayesian Filtering. 1. Incoming mails’ addresses will be checked against your Allowed List first. If matches, the good mail stays in your Inbox, otherwise, it will be checked against Allowed Keywords. 2. If mail address is listed in Blocked List, the mail will be regarded as spam, thus be moved to Deleted Items folder; otherwise it will be checked against Blocked Keywords. 3. Spam Filter Express Anti-spam Engine is based on Bayesian filtering algorism. It will judge the content of the mail will adjust to user’s preferences on tellingwhether the incoming email is spam or not.This edge-cutting, auto-learning spam classifier increases the spam filter accuracy by analysis of user’s personal correspondence. 4. Key Features of Spam Filter Express
Spam Filter Express uses built-in Bayesian classification algorithm which is based on Bayesian approach of defining whether a message is spam or not. This filtering technology is one of the most effective and reliable approaches of detecting spam nowadays. The Bayesian filter engine has the capability to "learn" about new strains of spam and "train" itself to recognize them. The more a user works with the program, the better is the accuracy of spam definition. With Spam Filter Express, no spammer is smart enough!
Auto-learning increases the filtering accuracy by analysis of user’s personal correspondence. Spam Filter Express learns from mistakes and usually won't make the same mistake twice. It can learn the difference between emails from your family or friends and offensive mail from a bulk mailer. Bayesian filters learn by examples. The more a user works with the program, the better is the accuracy of spam definition.
Spam Filter Express is the ultimate spam filter system. Using the sophisticated Adaptive Intelligence technology to learn the differences between your regular mail and spam, Spam Filter Expressoffers the best accuracy rate available in spam filtering technology, with the lowest false positive rate. Users have reported success rates approaching 99% and near zero false positive.
Spam Filter Express uses the initial sample messages both from your own email messages and a database of carefully selected spam messages. This enables the filter to cover a broad range of spam samples and there is no need to wait for an update from a central source. Once Spam filter is installed, it can immediately adapts to new types of spam.
Spam Filter Express provides Black/White list management to choose who is allowed or banned to receive emails from.
Spam Filter Express is designed to work the way you work. Spam Filter Express is easy to use and does not require endless tuning of complex spam filter settings. With integrated toolbar buttons for Outlook or Outlook Express, mouse users can automatically identify junk emails and train Spam Filter Express to look for similar emails in the future. No adding rules, no complex training, no forcing your friends and colleagues to jump through hoops to communicate with you. 5. What is Bayesian Filter and how it works? Bayesian filters are more or less based on the Bayes rule, a theory of conditional probability that estimates the likelihood of an event (hypothesis) given the certainty of another event (evidence). Basically, the rule says that the likelihood of an event occurring in the future can be inferred from the number of times it occurred in the past. The Bayesian filter works on studying the e-mail and also the spam that you have received in the past. These create two collections a good collection, consisting of all the real e-mails you received and the bad collection which consists of all the spam you have received in the past. It counts the number of times each word in the good collection occurs in the good collection and creates a table. It does the same for the bad collection with the end result being two tables, one for the good collection and one for the bad collection. The filter uses these tables when constructing probabilities for future e-mail it encounters being spam. In other words, Bayesian filter determines whether a new e-mail you receive is spam or real e-mail based on your past e-mail and your past spam. The following picture shows the Bayesian filtering procedures.
Original source from: http://www.pcmag.com/article2/0,1759,1567368,00.asp The first step for Bayesian filtering is to create a tailor-made Bayesian word database. Before mail can be filtered using this method, the user needs to generate a database with words and tokens (such as the $ sign, IP addresses and domains, and so on), collected from a sample of spam emails and legitimate emails (referred to as ‘ham’). A probability value is then assigned to each word or token: the probability is based on calculations that take into account how often that word occurs in spam as opposed to legitimate email (ham). This is done by analyzing the users' outbound mail and by analyzing known spam: All the words and tokens in both pools of mail are analyzed to generate the probability that a particular word points to the mail being spam. This word probability is calculated as follows: If the word "Vigor" occurs in 300 of 3,000 spam mails and in 3 out of 300 legitimate emails, for example, then its spam probability would be 0.999 (that is, [300/3000] divided by [3/300 + 300/3000]). The second step is to create the ham database (tailored to your company). It is important to note that the analysis of ham mail is performed on the company's mail, and is therefore tailored to that particular company. For example, a financial institution might use the word "mortgage" many times over and would get a lot of false positives if using a general anti-spam rule set. On the other hand, the Bayesian filter, if tailored to your company through an initial training period, takes note of the company's valid outbound mail (and recognizes "mortgage" as being frequently used in legitimate messages), and therefore has a much better spam detection rate and a far lower false positive rate. The third step is to create the spam database. Besides ham mail, the Bayesian filter also relies on a spam data file. This spam data file must include a large sample of known spam and must be constantly updated with the latest spam by the anti-spam software. This will ensure that the Bayesian filter is aware of the latest spam tricks, resulting in a high spam detection rate (note: this is achieved once the required initial two-week learning period is over). The last step of Bayesian filtering is to classify the incoming email by calculating the spam probability of the new message. Once the ham and spam databases have been created, the word probabilities can be calculated and the filter is ready for use. When a new mail arrives, the filter does the following:
If the probability is greater than a threshold, say 0.9, then the message is classified as spam. 6. Why Bayesian filters are better?It is hard to create a set of rules that would be accepted by everyone to define spam, but each individual may know what he or she considers to be spam when he or she sees it. That means that the best way to categorize spam is for each person to categorize it by example. Bayesian spam filters are based on real world examples of spam, which are used to classify future e-mail. There are at least four advantages using Bayesian filtering technology to identify spams. 1)Bayesian filters are advantageous because they take the whole context of a message into consideration. Unlike other filtering techniques that look for spam-identifying words in subject lines and headers, a Bayesian filter uses the entire context of an e-mail when it looks for words or character strings that will identify the e-mail as spam. For example, Bayesian filters examine the words in a body of an e-mail, its header information and metadata, word pairs and phrases and even HTML code that can identify. In other words, Bayesian filtering is a much more intelligent approach because it examines all aspects of a message, as opposed to keyword checking that classifies a mail as spam on the basis of a single word. 2) A Bayesian filter is constantly self-adapting. Bayesian filters are adaptable in that the filter can train itself to identify new patterns of spam. It generally act faster to block new types of spam e-mails. This is because rule and list based spam blockers react to spam, they do not anticipate it. Each set of rules or sender names to be blocked are created in response to the initial flood of messages. Then, after the messages arrive, the anti-spam product is updated. Unfortunately, the spammers get the updates at the same time as the filter users. This enables the spammers to modify their message so that the next salvo will bypass even the newest filters. A Bayesian filter learns to identify new spam the more it analyzes incoming e-mails. Using Bayesian filtering requires that you first train the mailer by showing it a bunch of mail that is junk, and a bunch of mail that is not. Then, you let it automatically classify new mail for you, and you continue to correct it as it makes mistakes. 3) The Bayesian technique is sensitive to the user and is difficult to fool. The Bayesian technique learns the email habits of the company and understands that. It let each user define spam so that the filter is highly personalized. Bayesian filters also automatically update and are self-correcting as they process new information and add it to the database. If an advanced spammer wants to trick a Bayesian filter spammer, it would have to know the email profile of each recipient. Because the Bayesian filter is customized by individual users, a spammer can never hope to gather this kind of information from every intended recipient. 4) The Bayesian method is multi-lingual and international. A Bayesian anti-spam filter, being adaptive, can be used for any language required. Most keyword lists are available in English only and are therefore quite useless in non English-speaking regions. The Bayesian filter also takes into account certain languages deviations or the diverse usage of certain words in different areas, even if the same language is spoken. This intelligence enables such a filter to catch more spam. 7. Why Spam Filter Express is the Best? With more and more people use email as the everyday communication tool, there are more and more spams, viruses, phishing and fraudulent emails sent out to our email Inbox. Several email systems use filtering techniques that seek to identify emails and classify them by some simple rules. However, these email filters employ conventional database techniques for pattern matching to achieve the objective of junk email detection. There are several fundamental shortcomings for this kind of junk email identification technique, for example, the lack of a learning mechanism, ignorance of the temporal localization concept, and poor description of the email data. Spam Filter Express is a powerful spam filter quickly identifies and separates the hazardous and annoying spam from your legitimate email. Based on Bayesian filtering technology, Spam Filter Express adapts itself to your email automatically, filtering out all of the junk mail with close to 100% accuracy. No adding rules, no complex training, no forcing your friends and colleagues to jump through hoops to communicate with you. There are more and more anti spam tools are using the Bayesian filtering technology. Are all Bayesian filters the same? The answer is No. There is no industry standard for a Bayesian anti spam filter and the Bayesian mathematical formulas are well known and understood by mathematicians. But how Bayesian filters are implemented is different from one anti spam tool to another and is critical to success. For example, one of the key critical success factors for Bayesian filters is the source of your examples. If spam can only be defined by examples, the quality of the examples used to create the definition is very important. If the samples are not representative of the type of email that you receive, as can be the case with some filters, you may not get accurate results. Generally, there are two factors to consider: the initial start-up and continual learning. • Startup: The results of Bayesian systems vary significantly at start-up, based on the initial definition of spam. Some filters come with a preprogrammed set of "spam models" that are the same from user to user. If they are not modified, such systems always result in a high error rate, as each person's definition of spam is different.Our spam filtering system combines the two techniques to create the most accurate "out of the box" experience for most users. These systems base the filters on your own email messages, but also add a database of carefully selected statistics if there are not enough spam messages. This lets the filters cover a broad range of spam collected over a long period. • Continual Adaptation: While all Bayesian filters are based on examples, the best continually update the filters because these are able to learn from their mistakes. In this way, they do not need to wait for an update from a central source and they can immediately adapt to new types of spam. The process for continual learning is as follows: If the spam filter mistakes a spam message as good, the user has an easy way to identify it. The best filters then immediately update all of the relevant information used to analyze all future messages. In this way, the best messages are not likely to make the same mistake in the future. Even further, the best spam filters can become more accurate without user interaction just by processing new spam as it arrives. For example, a new type of spam message may arrive. Since it is new, a Bayesian filter may calculate that it is 90% similar to spam messages it has already seen. In this case, it would identify the message as spam because it is so much like known spam. To take it one step further, the filter can also learn about the new type of spam from the new message as it enters the spam folder. This enables the best filters to automatically adapt to new types of spam without updates from a centralized server. 8. What Happens If False Positive Occurs? When a valid e-mail is wrongfully categorized as spam by Spam Filter Express, the system does not erase it right away but stores it in your Spam Email folder. You can view the message there and you may move back it to your inbox. Spam Filter Express automatically optimizes its built in spam filters by learning from your incoming and outgoing email. Each time you send or receive messages, Spam Filter Express analyzes the messages, and learns what constitutes spam and not spam based on the content in your messages. After time, with this part of the learning process complete, Spam Filter Express can easily detect spam at almost a 100% rate and not quarantine any legitimate email accidentally. Spam Filter Express cleans your inbox through the use of advanced Bayesian filtering techniques. Spam is classified and filtered using a highly sophisticated multi-level approach. This gives Spam Filter Express more than 99% accuracy in eliminating spam, and with a learning curve of selecting friends or enemies, you can eventually achieve a higher accuracy. Using Spam Filter Express in combination with Spam safety tips can help reduce or eliminate the spam problem. 9. Tips to Prevent More Spam The following practices will help you reduce the number of unwanted spam messages that pollute your email inbox:
10. About Us: ANVSOFT Inc. provides the most effective, easy-to-use anti spam solutions for business and home users. We provide the most powerful spam filter software at affordable prices to help you eliminate spam. Our company's flagship product, Spam Filter Express, provides the benefits of effective and efficient inbox protection. Spam Filter Express’s powerful spam filtering engine quickly separates the annoying spam from your legitimate email. It is an intelligent tool which learns and follows your logic of "legitimate mail" and then block spam accordingly. ANVSOFT Inc was established to eliminate spam and deliver software solutions that enhance e-mail security for individuals and corporations. We are dedicated to eliminate spam and deliver safe and fast anti spam solutions. |
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Smart Spam Filter Based on Bayesian Algorithm 
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Unmatched Accuracy
Black/White Lists Management
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