Secure Computing Wages War Against Image Spam

"Image-based spam is a particularly difficult problem for a couple of reasons," noted Michael Osterman, founder and principal of Osterman Research. "It is much harder to detect with conventional spam-filtering and blocking technologies. Further, it is typically much larger than normal text-based spam, consuming much more bandwidth and storage."

"Traditional anti-spam software depends on content filtering techniques such as keyword filtering and Bayesian analysis to detect spam. Even the technology used to recognize characters from images, Optical Character Recognition (OCR), is not effective on today's image spam," said Dr. Paul Judge, chief technology officer of Secure Computing. "Spammers are using advanced mathematical and graphical techniques like random modification of image pixels and dynamic construction of images from multiple components to bypass spam filtering tools."

ยป - 31-10-2006

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