PRTODAY / NewswireToday Free press release distribution service network

Written by / Agency / Source: Hendrickson Software Components

Check Ads Availability|e-mail Article

Are you the owner of this article?, Turn it PREMIUM with your LOGO instead - and make it 3rd party Ads-Free! within the next hour!

Spam Goes PLAT hsc Releases Purify Lexical Analysis Tool - hendrickson software components releases Purify version 2.0 featuring the Purify Lexical Analysis Tool (PLAT)
Spam Goes PLAT hsc Releases Purify Lexical Analysis Tool


NewswireToday - /newswire/ - Arlington, VA, United States, 2008/03/17 - hendrickson software components releases Purify version 2.0 featuring the Purify Lexical Analysis Tool (PLAT).

Your Banner Ad Here instead - Showing along with ALL Articles covering IT Security/Anti-Spam Announcements

Replace these Affiliate Programs at ANYTIME! Your banner here within the next hour. Learn How!


The Purify Lexical Analysis Tool (PLAT). Using an English dictionary, and an algorithm that examines the content of an email using 5 parts of speech, the PLAT will examine the email message content to determine what words it considers “meaningful” in the message. It will only use these words when training, or rating an email using its Bayesian type statistics filter. This is a far more accurate way to apply a statistics based filter to email message content.

Plain Bayesian type filters don’t work as stand-alone, frontline spam filters.

Here is a quick Bayesian 101 tutorial. The user of a Bayesian type filter will provide the filter with “training” by adding words from the user’s email content to the filter’s dictionary categorizing the words as “good” or “bad.”

When used for rating an email as “good” or “bad”, the filter will take the words from the content of an email and, using simple statistics, calculate the likelihood of the words being “good” or “bad” based on the user’s previous “training.” The filter will take the aggregate score of the words, and apply the “score” to the email message as a whole, usually as a rating percentage (e.g. .88), identifying the email message as being “good”, or “bad.”

Why doesn’t this work?
Take this crass example for instance. Examine the two phrases:

“She takes it up the stairs.”
“She takes it up the (vulgar reference human waste elimination point).”

The phrases are very different, almost to the point where they cause a visceral reaction to us, aren’t they? But what is different? One word.

One word.
You can stretch this out to longer, more elaborate, messages but the underlying flaw remains. By the time you train the vulgar phrase as bad, you will also have trained the innocent phrase as bad, and vice versa.

Spammers have figured this out. To the point where they will add content from books to the bottom of their spam email to “poison” a Bayesian type filter.

In my first version of Purify, I tried adding a straight Bayesian filter to it to support its other filtering capabilities. At first, I was impressed with the results. Then the misclassifications started. So I started futzing around with how the statistics were produced.

First, I started only using the “most interesting”, highest probability of “bad”, 15 words in my statistics. I believe that Paul Graham had used this approach in his “plan for spam” article, and Michael Tsai had used this in his SpamSieve product. For reasons mentioned above, this approach fell apart.

Next, I tried “biasing” the good words, to reduce the possibility of a “false positive.” This started letting an unacceptable level of spam through.

I went round and round until I came to the conclusion that Bayesian filtering simply did not work by itself, and at best, it could be used with other technologies to evaluate an email message as “good” or “bad.”

So, why do so many people swear by these filters? Use. If you were Joe average user, I’d estimate that over 80% of the email that you receive is spam. Right out of the gate you have 80% accuracy “catching” spam. Your false positive, and false negative results come out of the remaining 20% of your email, and will probably be relatively painless to deal with.

But what if you are a business owner? What if every email counts?

Purify offers several frontline, ground-truth, tested, tried and true methods for filtering email, including the modified Bayesian type filter (PLAT) described herein.

Purify Country Filter. Purify will examine the SMTP header of an email message, and determine the email’s source domain. It will lookup the country of the IP address of the source domain, and if the country is marked as blocked by the user, the message will be marked as spam. It will also apply the same Country Filter to any embedded links in the email message!

Purify Blacklist. Purify supports a blacklist of phrases. If any of the phrases shows up in an email’s message content, the message is marked as spam. The blacklist can be used as plain text (viagra), or use powerful Regular Expressions (v[i|1|!]agra). What if you don’t know how to use Regular Expressions? Enter your words into Purify’s Obfuscated Words Checker, and it will generate them for you!

Purify Spam Reporting. Purify allows you to trace and report spammers to their Internet Service Providers. Many users have had great success reducing the volume of spam email that they receive by tracing and reporting spam. This is very easy to use. Report your spam with the click of a button.

Purify Email Designates. Purify will allow you to define your “proper name” for an account. If your name is “Betty Smith”, and a spammer uses a proper name in the address, and it is to “John Doe”, then Purify will pick this up and mark the item as spam.

Purify Ignorelist. If you are tracing and reporting spam, and are not interested in seeing the abuse desk responses, you can ignore them using this feature.

Purify Whitelist. The user can accept email from an easily imported friends list, or using whitelist phrases (“you have a payment!”).

Purify Bayesian type filtering featuring the Purify Lexical Analysis Tool (PLAT).

When email counts, count on Purify as your email filtering solution.

Your Banner Ad Here instead - Showing along with ALL Articles covering IT Security/Anti-Spam Announcements

Replace these Affiliate Programs at ANYTIME! Your banner here within the next hour. Learn How!


Written by / Agency / Source: Hendrickson Software Components


Availability: All Regions (Including Int'l)


Traffic Booster: [/] Quick Newswire Today Visibility Checker


Distribution / Indexing: [+]

# # #
IT Security Anti-Spam Computer Security - Purchase keywords tags antivirus software firewall spyware removal virus scan computer security IT Security Anti-Spam malware / Banner Ads!.

  Your Banner Ad showing on ALL
IT Security/Anti-Spam articles,
CATCH Visitors via Your Competitors Announcements!

Spam Goes PLAT hsc Releases Purify Lexical Analysis Tool

Company website links NOT available to basic submissions
It is OK to republish and/or LINK any newswire for any legitimate media purpose as long as you name Newswire Today and LINK as the source.
  Is this your article?
Activate ALL web links and social stream by Upgrading to Press Release PREMIUM Plan Now!

Publisher Contact: Jeff Hendrickson - 
703-499-6004 info[.]
Newswire Today - PRZOOM / PRTODAY disclaims any content contained in this article. If you need/wish to contact the company who published the current release, you will need to contact them - NOT us. Issuers of articles are solely responsible for the accuracy of their content. Our complete disclaimer appears here.
IMPORTANT INFORMATION: Issuance, publication or distribution of this press release in certain jurisdictions could be subject to restrictions. The recipient of this press release is responsible for using this press release and the information herein in accordance with the applicable rules and regulations in the particular jurisdiction. This press release does not constitute an offer or an offering to acquire or subscribe for any Hendrickson Software Components securities in any jurisdiction including any other companies listed or named in this release.

IT Security/Anti-Spam via RSSAdd NewswireToday - PRZOOM Headline News to FeedBurner
Find who RetweetFollow @NewswireTODAY

Are you the owner of this article?, Turn it PREMIUM with your LOGO instead - and make it 3rd party Ads-Free! within the next hour!

Read Latest Articles From Hendrickson Software Components / Company Profile

Read IT Security/Anti-Spam Most Recent Related Newswires:

Comodo to Present on Benefits of Comodo One Platform for MSPs at ASCII IT SMB Success Summit
Verint Named Physical Security Intelligence Solutions Company of the Year
Rambus Announces Industry’s First Functional Silicon of Server DIMM Buffer Chipset Targeted for Next-generation DDR5
Verint Recognized in New Customer Journey Analytics Report by Independent Research Firm
High-Tech Bridge Enhances Discovery Capacities of its Phishing Detection Service
Ensono Adds Managed Mainframe to its UK Toolkit
Radware Launches Ultimate IoT Botnet Protection with New DefensePro® Lineup
Comodo Advanced Endpoint Protection Wins ‘APT Software of the Year’ 2017 CyberSecurity Breakthrough Award
Frost & Sullivan Recognizes Radware as a Leader in Customer Value with its Complete Line of DDoS Mitigation Solutions
Ecobank Deploys Radware’s Attack Mitigation Solution to Protect its Infrastructure
Rostelecom Demonstrates On-Demand Transport Services with the First Multivendor Transport SDN PoC in Russia
Ensono Unveils New Office in Conway, Arkansas
Tyne Tunnel Realizes New Levels of Operational Efficiency and Situational Awareness with Verint Solutions
Thales’s Security Evaluation of Samsung Pay Contactless Payment App on Galaxy S8 and S8+ Leads to Certification
Check Point Launches New Research Online Platform and Releases Mid-Year Cyber Attack Trends Report

Boost Your Social Network
& Crowdfunding Campaigns

NewswireToday Celebrates 10 Years in Business



Visit  La Bella Bakery Artisan Bakery Arizona

  ©2017 Newswire Today — Limelon Advertising, Co.
Home | About | Advertise/Pricing | Contact | Investors | Privacy/TOS | Sitemap | FRANCAIS
newswire, PR press releases distribution service magazines engine news alert newsroom press room breaking news public relations articles company news alerts newswiredistribution ezine bizentrepreneur biznewstoday digital business report market search pr firms agencies reports distri-bution today investor relation successful internet entrepreneurs newswire distribution freenewswiredistribution asianewstoday bizwiretoday USA pr UK today - NOT affiliated with PRNewswire as we declined their partnership offer in 2013
PRTODAY & NewswireTODAY are NOT affiliated with USA TODAY (