Characterization and Planning for Computer Network Operations
Abstract
Whom we e-mail, where we browse, what we purchase, and the things we search for on the World Wide Web all leave identifable traces of who we are as individuals. In today's technology focused landscape, cyberspace represents the new environment in which we communicate, work, shop, and play, and the cyber behaviors we exhibit there give a great deal of insight into our individual identities. This dissertation proposes a novel approach to the modeling and analysis of behaviors based on a user's cyber activities. We present a methodology to identify, extract, and analyze cyber behaviors providing the foundation for cyber-based behavioral modeling. In addition, we define the underpinnings necessary to support this approach through our behavioral extraction, Bayesian sample size estimation, and behavioral state-based techniques, then empirically evaluate their use. Methods are implemented to characterize, predict, and detect change in individual and group behaviors and we demonstrate their effectiveness using real world data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2010
- Accession Number
- ADA577860
Entities
People
- David J. Robinson
Organizations
- Dartmouth College