Methods and apparatus for detecting botnet attacks
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United States of America Patent
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Dec 17, 2013
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N/A
app pub date -
May 22, 2007
filing date -
May 22, 2007
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Abstract
Botnet attacks may be detected by collecting samples of spam messages, forming clusters of related spam messages, and identifying the source or sources of the related spam messages. The related spam messages may be identified as those generated using the same template. For example, spam messages generated using the same image template, text template, or both may be deemed as related. To find related spam messages, images of spam messages may be extracted and compressed using a lossy compression algorithm. The compressed images may then be compared to one another to identify those generated using the same image template. The lossy compression algorithm may involve dividing an image into several blocks and then computing a value for each block for comparison.
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