powered by Fotolabor Treml GmbH
| www.News-Ticker.org powered by Fotolabor Treml GmbH |
|
|||
|
||||
 |
|
|||||||||||||
|
IBM entwickelt professionelle Anti-Spam Lösung Spam ist heute ein massives Problem für viele Unternehmen: 30 bis 50 Prozent des gesamten Mailaufkommens sind unerwünschte Mails, die beträchtliche Kosten verursachen. IBM Forscher haben eine neue Anti-Spam Software entwickelt. Das Filter-System verwendet Algorithmen, die ursprünglich für mathematische Herausforderungen in der Biologie wie etwa in der Genforschung entwickelt worden sind. Durch die Kombination verschiedener Filtertechnologien erreicht das System eine besonders hohe Erfolgsquote. Der Prototyp ist in den IBM Labors bereits erfolgreich gestestet worden. Weitere Informationen finden Sie in dem englischen Pressemitteilung. Spam is a massive problem - it currently accounts for between 1/3 and 1/2 of all emails and costs companies billions of dollars as the result of lower productivity, loss of legitimate messages and the need for increased bandwidth and storage. In a bid to try solve the problem, IBM has brought together scientists from different areas of research division to develop an enterprise anti-spam filtering system which combines several different filtering technologies to create the ultimate anti-spam system. For example one of the spam filters - Chung-Kwei - is a pattern-discovery-based system which uses an algorithm developed by life sciences researchers focused tackling computational biology challenges such as gene finding and protein annotation. By itself, Chung-Kwei detected 96.56 percent of spam messages with just a .066 percent false positive rate during tests conducted in IBM's labs. By combining Chung-Kwei with the other spam filtering techniques, IBM researchers have created SpamGuru - a prototype anti-spam system which they believe has the potential to eliminate virtually all spam. SpamGuru: An Enterprise Anti-Spam Filtering System IBM Research is developing an enterprise-class anti-spam filter as part of our overall strategy of attacking the Spam problem on multiple fronts. Our anti-spam filter, SpamGuru, mirrors this philosophy by incorporating several different filtering technologies and intelligently combining their output to produce a single spamminess rating or score for each incoming message. The use of multiple algorithms improves the system's effectiveness and makes it more difficult for spammers to attack. While a spammer may defeat any single algorithm, SpamGuru can rely on its remaining algorithms to maintain a high-degree of effectiveness. SpamGuru's filtering architecture uses multiple classification algorithms which are integrated into a single classification pipeline. SpamGuru's pipeline allows it to benefit from multiple classifiers with minimum extra computational cost. SpamGuru's classification technologies include spoof detection, Bayesian filtering, plagiarism detection, automatically generated white- and black-lists, and Chung-Kwei, a novel technique that uses advanced pattern-matching algorithms developed by IBM's bioinformatics group. Chung-Kwei: a Pattern-discovery-based System for the Automatic Identification of Unsolicited E-mail Messages (SPAM) Chung-Kwei is a system that we developed recently for the analysis of electronic mail and the automatic identification and tagging of unsolicited messages (=spam). The underlying method uses pattern-discovery and has its underpinnings in a generic approach that has been behind successful solutions we developed for tackling computational biology problems such as gene finding and protein annotation. Chung-Kwei can be trained very quickly using a body of known spam/white messages and can do so without interrupting the ongoing classification of incoming e-mail. The prototype system, that we developed by training on a repository of 87,000 spam and white messages, achieved a sensitivity of 96.56% with a false positive rate of 0.066%, or one-in-six-thousand messages. In terms of speed, the Chung-Kwei prototype is capable of classifying approximately 200 messages per second, on a 2.2 GHz Intel-Pentium platform. Kontaktinformationen: Christine Paulus IBM Deutschland GmbH Communications Germany MediaRelations IBM Software Group Tel: +49 89 4504 1396 Mobil: +49 151 14270446 Mailto: christine.paulus@de.ibm.com
|
|||||||||||||||||||||||||||||
|
|
| Home | Impressum | Disclaimer | Kundenbereich | Jobmaschine für Journalisten |
|
