Antispam Technology Impact Assessment Report: 2007
Researchers from COMDOM Software have released their 2007 assessment of the evolution of technologies for fighting spam. Specifically, the report compares the detection rates and the computing performance of the two primary classes of antispam systems used in enterprise and ISP applications.
Toronto, Canada, November 14, 2007 --(PR.com)-- The battle between spammers and antispam companies has resulted in the development of different approaches to fighting spam. Researchers from COMDOM Software have released their 2007 assessment of the evolution of technologies for fighting spam. Specifically, the report compares the detection rates and the computing performance of the two primary classes of antispam systems used in enterprise and ISP applications.
The report looks at performance data from a number of leading commercial fingerprinting and Bayesian content filters. The analysis shows that that fingerprinting systems have become less accurate as spammers have learned to engage in hash busting, and slower, because their developers have responded to the spammers by adding new layers of secondary filters. The bundling of multiple filters has potentially improved detection capacity, but has lowered the speed by which fingerprinting/checksum systems filter spam. This means adding more servers to process the same volume of traffic, increasing the total costs of networks in terms of hardware and administration.
The report documents that many commercial antispam offerings are simply front ends that rely on the open source Bayesian core developed by the SpamAssassin project. While more accurate than fingerprinting systems, these first generation Bayesian filters are slower than fingerprinting programs. In 2007, a second generation of content filters have been released that deal with the throughput problem in older Bayesian filters. COMDOM Antispam running on Linux servers for instance combines high accuracy of Bayesian filtering, with a throughput rate that is at least 5 times faster than the speed of leading fingerprint systems. This high performance in second generation Bayesian content filters means significant reductions in the number of servers required to process the same volume of traffic, and lower network TCO.
The analysis is designed for administrators and managers at large enterprises and ISPs who face the rising costs of spam on network infrastructure. COMDOM Software is a member of ICSA Labs Antispam Consortium, an association of ten leading global companies focused on fighting spam. The full text of the technological impact assessment is available at www.comdomsoft.com
For more information, please contact:
info@comdomsoft.com
Peter Kosik, COMDOM Software, Europe, (+421) 55-78 98 402,
Reza Rajabiun, COMDOM Software, North America, (416) 833-4864
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The report looks at performance data from a number of leading commercial fingerprinting and Bayesian content filters. The analysis shows that that fingerprinting systems have become less accurate as spammers have learned to engage in hash busting, and slower, because their developers have responded to the spammers by adding new layers of secondary filters. The bundling of multiple filters has potentially improved detection capacity, but has lowered the speed by which fingerprinting/checksum systems filter spam. This means adding more servers to process the same volume of traffic, increasing the total costs of networks in terms of hardware and administration.
The report documents that many commercial antispam offerings are simply front ends that rely on the open source Bayesian core developed by the SpamAssassin project. While more accurate than fingerprinting systems, these first generation Bayesian filters are slower than fingerprinting programs. In 2007, a second generation of content filters have been released that deal with the throughput problem in older Bayesian filters. COMDOM Antispam running on Linux servers for instance combines high accuracy of Bayesian filtering, with a throughput rate that is at least 5 times faster than the speed of leading fingerprint systems. This high performance in second generation Bayesian content filters means significant reductions in the number of servers required to process the same volume of traffic, and lower network TCO.
The analysis is designed for administrators and managers at large enterprises and ISPs who face the rising costs of spam on network infrastructure. COMDOM Software is a member of ICSA Labs Antispam Consortium, an association of ten leading global companies focused on fighting spam. The full text of the technological impact assessment is available at www.comdomsoft.com
For more information, please contact:
info@comdomsoft.com
Peter Kosik, COMDOM Software, Europe, (+421) 55-78 98 402,
Reza Rajabiun, COMDOM Software, North America, (416) 833-4864
###
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COMDOM Software
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+421557898402
www.comdomsoft.com
Jan Starosta
+421557898402
www.comdomsoft.com
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