April 13, 2011
The correlation of information from disparate sources has long been an issue in data fusion research. Traditional data fusion addresses the correlation of information from sources as diverse as single-purpose sensors to all-source multi-media information. Information system vulnerability information is similar in its diversity of sources and content, and in the desire to draw a meaningful conclusion, namely, the security posture of the system under inspection. FuzzyFusion™, a data fusion model that is being applied to the computer network operations domain is presented. This model has been successfully prototyped in an applied research environment and represents a next generation assurance tool for system and network security. About the speaker: Ronda Henning, CISSP-ISSAP, CISSP-ISSMP, CSSLP, CISM, is the Senior Scientist for Security and Privacy at Harris Corporation; a Melbourne, Florida based international communications company. Ms. Henning is responsible for the advanced information assurance research and technology direction for Harris' information assurance offerings. She is the Program Manager of the Harris Institute for Assured Information, a collaborative research venture with the Florida Institute of Technology. Previously, she was the Network Security Manager for the FAA Telecommunication Infrastructure (FTI) Program, responsible for securing the FAA's Wide Area Network, a national critical infrastructure. Prior to her employment at Harris, Ms. Henning worked in information security research and development at the National Security Agency. Ms. Henning holds an M.B.A. from the Florida Institute of Technology, an M.S. in Computer Science from Johns Hopkins University, and a B.A. from the University of Pittsburgh. She is a doctoral candidate in information assurance at Nova Southeastern University. A frequent speaker on enterprise information security processes and assurance, Ms. Henning has over 50 refereed publications on various security topics.
