URL:

http://www.silkroad-asia.com/papers/pdf/acm-p99-bass.pdf

Abstract:

Next generation cyberspace intrusion detection (ID) systems will require the fusion of data from myriad heterogeneous distributed network sensors to effectively create cyberspace situational awareness. This article provides a functional overview of how the art and science of multisensor data fusion can enhance the performance and reliability of ID systems. The article also discusses the data fusion inference process and data mining operations, outlines design challenges, and suggests areas for further research and development.

Notes:

Accepted for publication February 26, 1999, HTML Version

Full Text:

URL:

http://www.silkroad-asia.com/papers/pdf/acm-p99-bass.pdf

Abstract:

Next generation cyberspace intrusion detection (ID) systems will require the fusion of data from myriad heterogeneous distributed network sensors to effectively create cyberspace situational awareness. This article provides a functional overview of how the art and science of multisensor data fusion can enhance the performance and reliability of ID systems. The article also discusses the data fusion inference process and data mining operations, outlines design challenges, and suggests areas for further research and development.

Notes:

Accepted for publication February 26, 1999, HTML Version