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10/04/07 - USPTO Class 726 | 105 views | #20070234424 | Prev - Next | About this Page

Design and evaluation of a fast and robust worm detection algorithm

USPTO Application #: 20070234424
Title: Design and evaluation of a fast and robust worm detection algorithm

Abstract: A method and computer product are presented for identifying Internet worm propagation based upon changes in packet arrival rates at a network connection. First, unsolicited (i.e., packets that were not requested by the receiver) traffic is separated from solicited traffic at the network connection. The unsolicited traffic arrival patterns are monitored and analyzed for any changes. Once changes in the unsolicited traffic arrival patterns are detected, the changes are mathematically analyzed to detect growth trends. The presence of growth trends that follow certain key characteristics indicate whether the changes are due to worm propagation. (end of abstract)

Agent: Synnestvedt & Lechner, LLP - Philadelphia, PA, US
Inventors: Tian Bu, Aiyou Chen, Scott Alan Vander Wiel, Thomas Woo
USPTO Applicaton #: 20070234424 - Class: 726022000 (USPTO)

Related Patent Categories: Information Security, Monitoring Or Scanning Of Software Or Data Including Attack Prevention

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The Patent Description & Claims data below is from USPTO Patent Application 20070234424, Design and evaluation of a fast and robust worm detection algorithm.

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