Index Catalog // GW ScholarSpace

Start Over

Filtering by: Advisor Mazzuchi, Thomas A Advisor Sarkani, Shahram Keyword Cybersecurity Keyword Adaptive Boosting Keyword Machine Learning

1 entry found

List Gallery Masonry Slideshow

Application of a Novel Multiple Kernel Learning Framework for Improving the Robustness of Network Intrusion Detection

Description:

Current day Network Intrusion Detection Systems have several shortcomings such as high rates of false positive alerts, low detection rates of rare but dangerous attacks and the need for constant human intervention and tuning. Daily reports of incidents appear in public media including major...

Author:

Fossaceca, John M.

Keyword:

Multiple Kernel Learning, Pattern Recognition, Adaptive Boosting, Machine Learning, Cybersecurity, and Systems Engineering

GW Unit:

School of Engineering and Applied Science

Degree:

Ph.D.

Advisor:

Mazzuchi, Thomas A and Sarkani, Shahram

Committee Member(s):

Holzer, Thomas, Eveleigh, Timothy, and Murphree, E. Lile

Resource Type:

Thesis or Dissertation