BackgroundCheck.run
Search For

Calvin W Ko, 39Springfield, VA

Known as:
Calvin Wen Ko Calvin L Ko
Related to:
Dennis P Chen 50 Jing Chen 66

Calvin Ko Phones & Addresses

Springfield, VA   

Suitland, MD   

Alexandria, VA   

Saint James, NY   

Smithtown, NY   

Fairfax, VA   

Get Report
Control this profile

Mentions for Calvin W Ko

Calvin Ko resumes & CV records

Resumes

Calvin Ko Photo 31

Aerospace Engineer

Location:
Springfield, VA
Industry:
Airlines/Aviation
Work:
Faa
Aerospace Engineer Faa Jul 2014 - Oct 2016
Safety Management Engineer Navair May 2008 - Jul 2014
H-53E Super Stallion Propulsion System Integrator Navair Nawc Ad Sep 2013 - Jul 2014
V-22 Osprey Propulsion System Integrator Navair May 2009 - Sep 2009
H53K Structural Engineer Navair Jul 2007 - Sep 2008
J85 and F404 Performance Engineer
Education:
University of Maryland 2009 - 2013
Masters, Master of Engineering, Engineering Penn State University 2003 - 2007
Bachelors, Bachelor of Science, Engineering
Skills:
Systems Engineering, Aerospace, Program Management, Configuration Management, Aircraft, Microsoft Office, Flight Test, Matlab, Aerospace Engineering, Autocad, Fortran, Stress Analysis, Ansys
Certifications:
Dawia Sprde-Systems Engineering Level Iii Certification
Dawia Sprde-Program Management Level I Certification
Dawia Sprde-Test & Evaluation Level I Certification
Configuration Management Principles and Implementation Certification
Secret Clearance (Anci- Access Naci)
Calvin Ko Photo 32

Calvin Ko

Calvin Ko Photo 33

Calvin Ko

Publications & IP owners

Us Patents

Sequence-Based Anomaly Detection Using A Distance Matrix

US Patent:
6742124, May 25, 2004
Filed:
May 8, 2000
Appl. No.:
09/566379
Inventors:
Douglas Kilpatrick - Herndon VA
Calvin Ko - San Jose CA
Stephen J. Kiernan - Herndon VA
Assignee:
Networks Associates Technology, Inc. - Santa Clara CA
International Classification:
G06F 1700
US Classification:
713200, 713194, 713201
Abstract:
A real-time sequence-based anomaly detection system is disclosed. In a preferred embodiment, the intrusion detection system is incorporated as part of a software wrapper. Event abstraction in the software wrapper enables the intrusion detection system to apply generically across various computing platforms. Real-time anomaly detection is enabled through the definition of a distance matrix that defines allowable separation distances between pairs of system calls. The distance matrix indirectly specifies known sequences of system calls and can be used to determine whether a sequence of system calls in an event window represents an anomaly. Anomalies that are detected are further analyzed through levenshtein distance calculations that also rely on the contents of the distance matrix.

Multi-Platform Sequence-Based Anomaly Detection Wrapper

US Patent:
6735703, May 11, 2004
Filed:
May 8, 2000
Appl. No.:
09/566378
Inventors:
Douglas Kilpatrick - Herndon VA
Mark Lee Badger - Rockville MD
Calvin Ko - San Jose CA
Assignee:
Networks Associates Technology, Inc. - Santa Clara CA
International Classification:
G06F 1700
US Classification:
713201, 713151, 713152
Abstract:
A real-time sequence-based anomaly detection system is disclosed. In a preferred embodiment, the intrusion detection system is incorporated as part of a software wrapper. Event abstraction in the software wrapper enables the intrusion detection system to apply generically across various computing platforms. Real-time anomaly detection is enabled through the definition of a distance matrix that defines allowable separation distances between pairs of system calls. The distance matrix indirectly specifies known sequences of system calls and can be used to determine whether a sequence of system calls in an event window represents an anomaly. Anomalies that are detected are further analyzed through levenshtein distance calculations that also rely on the contents of the distance matrix.

Possible Relatives

Cynthia Ko  David W Ko  Daiyu Ko  Dee E Ko  Denise L Ko  Dennis T Ko  Denny R Ko  Calvin L Johnson  Calvin J Standifer  Calvin B Johnston 

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.