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Karl J Stang, 56204 Crystal Park Rd, Crystal Hills, CO 80829

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204 Crystal Park Rd, Manitou Springs, CO 80829    719-6337549   

211 Franklin St, Colorado Springs, CO 80903   

2415 Franklin St, Colorado Spgs, CO 80907   

Royal Oak, MI   

Red Wing, MN   

Berkley, MI   

Minneapolis, MN   

Saint Paul, MN   

204 Crystal Park Rd, Manitou Springs, CO 80829   

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Karl J Stang

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Work

Company: Verizon Jan 2003 Position: Distinguished member of technical staff

Education

Degree: Bachelor of Applied Science, Bachelors School / High School: University of Minnesota - Twin Cities

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Resumes

Karl Stang Photo 15

Distinguished Member Of Technical Staff

Location:
204 Crystal Park Rd, Manitou Springs, CO 80829
Work:
Verizon
Distinguished Member of Technical Staff
Education:
University of Minnesota - Twin Cities
Bachelor of Applied Science, Bachelors

Publications & IP owners

Us Patents

Botnet Beaconing Detection And Mitigation

US Patent:
2017006, Mar 2, 2017
Filed:
Aug 28, 2015
Appl. No.:
14/838889
Inventors:
- Arlington VA, US
Kenneth J. Mckeever - Denver CO, US
Karl Stang - Manitou Springs CO, US
International Classification:
H04L 29/06
Abstract:
A botnet detector collects data associated with flows between a pair of network elements. The botnet detector processes the flow data to determine whether some of the flows are associated with botnet beaconing and/or tunneling. For example, the botnet detector may determine whether some of the flows occur at a regular interval or whether some of the flows are associated with extended length sessions, respectively. To determine whether some of the flows occur at a regular interval, the botnet detector may convert the flow data to the frequency domain and may determine an interval associated with a highest vector magnitude. If the botnet detector determines that the pair of network elements are exchanging beaconing or tunneling signals, the botnet detector may forward a notification that the pair of network elements are associated with the botnet.

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