Daniel Bilar
Supplemental Material
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- R. Ayoub. Analysis of business driven metrics: Measuring for security value. White Paper, 2008.Google Scholar
- D. Bilar. Quantitative Risk Analysis Of Computer Networks. PhD thesis, Thayer School of Engineering (Dartmouth College), June 2003. Google ScholarDigital Library
- J. Doak and A. Lovato. Framework for responding to network security events (FRNSE). Technical report, Los Alamos National Laboratory, 2008.Google Scholar
- B. Fuller, J. Sikora, and J. Lyons. Review of residential electrical energy use data. Technical report, NAHB Research Center, July 2001.Google Scholar
- O. Kosut, L. Jia, R. Thomas, and L. Tong. Limiting false data attacks on power system state estimation. In Information Sciences and Systems (CISS), pages 1-6. IEEE, 2010.Google ScholarCross Ref
- Q. Liao, D. Cieslak, A. Striegel, and N. Chawla. Using selective, short-term memory to improve resilience against ddos exhaustion attacks. Security and Communication Networks, 1(4):287-299, 2008.Google ScholarCross Ref
- J. F. Maurras, K. Truemper, and M. Akgül. Polynomial algorithms for a class of linear programs. Mathematical Programming, 21:121-136, 1981.Google ScholarDigital Library
- M. Newborough and P. Augood. Demand-side management opportunities for the UK domestic sector. In Generation, Transmission and Distribution, IEE Proceedings, volume 146, pages 283-293. IET, 1999.Google Scholar
- P. Partha, K. Rohloff, M. Atighetchi, and R. Schantz. Managed mission assurance - concept, methodology and runtime support. In Proceedings of SOCIALCOM, pages 1159-1164. IEEE, 2010. Google ScholarDigital Library
- S. Taherian, M. Pias, G. Coulouris, and J. Crowcroft. Profiling energy use in households and office spaces. In Proceedings EECN, pages 21-30. ACM, 2010. Google ScholarDigital Library
- V. Verendel. Quantified security is a weak hypothesis: a critical survey of results and assumptions. In Proceedings of NSPW, pages 37-50. ACM, 2009. Google ScholarDigital Library
- J. Widen, M. Lundh, I. Vassileva, E. Dahlquist, K. Ellegård, and E. Wackelgard. Constructing load profiles for household electricity and hot water from time-use data-modelling approach and validation. Energy and Buildings, 41(7):753-768, 2009.Google ScholarCross Ref
- J. Widen and E. Wackelgard. A high-resolution stochastic model of domestic activity patterns and electricity demand. Applied Energy, 87(6):1880-1892, 2010.Google ScholarCross Ref
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