1. 1. K. Park, Y. Lin, V. Metsis, Z. Le, and F. Makedon. Abnormal humanbehavioralpatterndetectioninassistedlivingenviro nments. In 3rd ACM International Conference on Pervasive Technologies Related to Assistive Environments, pages 9:19:8, 2010.
   2. E. Tapia, S. Intille, and K. Larson. Activity recognition in the home using simple and ubiquitous sensors. In A. Ferscha and F. Mattern, editors, Pervasive Computing, volume 3001 of Lecture Notes in Computer Science, pages 158175. Springer Berlin / Heidelberg, 2004
   3. C.-H.TsangandS.Kwong.Multiagentintrusiondetectionsystem in industrial network using ant colony clustering approach and unsupervised feature extraction. In IEEE International Conference on Industrial Technology, 2005., pages 5156, December 2005.
   4. A. Carcano, A. Coletta, M. Guglielmi, M. Masera, I. Fovino, and A. Trombetta. A multidimensional critical state analysis for detecting intrusions Ins cada systems .IEEE Transactionson Industrial Informatics, 7(2):179 186, May 2011.
   5. H.AlHamadiandI.R.Chen.Redundancymanagementofmultipa throutingforintrusiontoleranceinheterogeneouswirelesss ensornetworks.IEEETransactionsonNetworkandService Management, 10(2):189203, 2013.
   6. I.LeeandO.Sokolsky.Medical cyber physical systems.In47th ACM Design Automation Conference, pages 743748, 2010.
   7. R. Mitchell and I. R. Chen. Effect of Intrusion Detection and Response on Reliability of Cyber Physical Systems. IEEE Transactions on Reliability, 62(1):199210, March 2013
   8. S.Cheung,B.Dutertre,M.Fong,U.Lindqvist,K.Skinner,an d A. Valdes. Using model-based intrusion detection for SCADA networks. In SCADA Security Scientific Symposium, pages 127134, Miami, FL, USA, January 2007.
   9. B. Asfaw, D. Bekele, B. Eshete, A. Villafiorita, and K. Weldemariam. Host-based anomaly detection for pervasive medical systems. In Fifth International Conference on Risks and Security of Internet and Systems, pages 18, October 2010
   10. M. Anand, E. Cronin, M. Sherr, M. Blaze, Z. Ives, and I. Lee. Security challenges in next generation cyber physical systems. Beyond SCADA: Networked Embedded Control for Cyber Physical Systems, 2006
   11. A. Cardenas, S. Amin, B. Sinopoli, A. Giani, A. Perrig, and S.Sast ry.Challengesforsecuringcyberphysicalsystems.InFirst Workshop on Cyber-physical Systems Security, DHS, 2009.
   12. I. R. Chen and D. C. Wang. Analysis of replicated data with repair dependency. The Computer Journal, 39(9):767779, 1996.
   13. M. Aldebert, M. Ivaldi, and C. Roucolle. Telecommunications Demand and Pricing Structure: An Econometric Analysis. Telecommunication Systems, 25:89115, 2004.
   14. P. Porras and P. Neumann. EMERALD: Event monitoring enabling responses to anomalous live disturbances. In 20th National Information Systems Security Conference, pages 353365, 1997.
   15. F.Bao,I.R.Chen,M.Chang,andJ.H.Cho.HierarchicalTrus t Management for Wireless Sensor Networks and its Applications to Trust Based Routing and Intrusion Detection.IEEE Transactions on Network and Service Management, 9(2):169183, 2012.
   16. I. R. Chen and D. C. Wang. Analyzing Dynamic Voting using Petri Nets. In 15th IEEE Symposium on Reliable Distributed Systems, pages 4453, Niagara Falls, Canada, October 1996.
   17. C. Hsu. Many popular medical devices may be vulnerable to cyberattacks.http://www.medicaldaily.com/news/20120 410/9486/medical-implants-pacemaker-hackers-cyberattack-fda.htm, April 2012..
   
   
2. 1. K. Park, Y. Lin, V. Metsis, Z. Le, and F. Makedon. Abnormal humanbehavioralpatterndetectioninassistedlivingenviro nments. In 3rd ACM International Conference on Pervasive Technologies Related to Assistive Environments, pages 9:19:8, 2010
   2. E. Tapia, S. Intille, and K. Larson. Activity recognition in the home using simple and ubiquitous sensors. In A. Ferscha and F. Mattern, editors, Pervasive Computing, volume 3001 of Lecture Notes in Computer Science, pages 158175. Springer Berlin / Heidelberg, 2004.
   3. C.-H.TsangandS.Kwong.Multiagentintrusiondetectionsystem in industrial network using ant colony clustering approach and unsupervised feature extraction. In IEEE International Conference on Industrial Technology, 2005., pages 5156, December 2005.
   4. A. Carcano, A. Coletta, M. Guglielmi, M. Masera, I. Fovino, and A. Trombetta. A multidimensional critical state analysis for detecting intrusions Ins cada systems .IEEE Transactionson Industrial Informatics, 7(2):179 186, May 2011.
   5. H.AlHamadiandI.R.Chen.Redundancymanagementofmultipa throutingforintrusiontoleranceinheterogeneouswirelesss ensornetworks.IEEETransactionsonNetworkandService Management, 10(2):189203, 2013.
   6. I.LeeandO.Sokolsky.Medical cyber physical systems.In47th ACM Design Automation Conference, pages 743748, 2010
   7. R. Mitchell and I. R. Chen. Effect of Intrusion Detection and Response on Reliability of Cyber Physical Systems. IEEE Transactions on Reliability, 62(1):199210, March 2013.
   8. S.Cheung,B.Dutertre,M.Fong,U.Lindqvist,K.Skinner,an d A. Valdes. Using model-based intrusion detection for SCADA networks. In SCADA Security Scientific Symposium, pages 127134, Miami, FL, USA, January 2007.
   9. B. Asfaw, D. Bekele, B. Eshete, A. Villafiorita, and K. Weldemariam. Host-based anomaly detection for pervasive medical systems. In Fifth International Conference on Risks and Security of Internet and Systems, pages 18, October 2010
   10. M. Anand, E. Cronin, M. Sherr, M. Blaze, Z. Ives, and I. Lee. Security challenges in next generation cyber physical systems. Beyond SCADA: Networked Embedded Control for Cyber Physical Systems, 2006.
   11. A. Cardenas, S. Amin, B. Sinopoli, A. Giani, A. Perrig, and S.Sast ry.Challengesforsecuringcyberphysicalsystems.InFirst Workshop on Cyber-physical Systems Security, DHS, 2009.
   12. I. R. Chen and D. C. Wang. Analysis of replicated data with repair dependency. The Computer Journal, 39(9):767779, 1996.
   13. M. Aldebert, M. Ivaldi, and C. Roucolle. Telecommunications Demand and Pricing Structure: An Econometric Analysis. Telecommunication Systems, 25:89115, 2004.
   14. S. M. Ross. Introduction to Probability Models, 10th Edition. Academic Press, 2009.
   15. P. Porras and P. Neumann. EMERALD: Event monitoring enabling responses to anomalous live disturbances. In 20th National Information Systems Security Conference, pages 353365, 1997.
   16. F.Bao,I.R.Chen,M.Chang,andJ.H.Cho.HierarchicalTrus t Management for Wireless Sensor Networks and its Applications to Trust Based Routing and Intrusion Detection.IEEE Transactions on Network and Service Management, 9(2):169183, 2012.
   17. I. R. Chen and D. C. Wang. Analyzing Dynamic Voting using Petri Nets. In 15th IEEE Symposium on Reliable Distributed Systems, pages 4453, Niagara Falls, Canada, October 1996.C. Hsu. Many popular medical devices may be vulnerable to cyberattacks.http://www.medicaldaily.com/news/20120 410/9486/medical-implants-pacemaker-hackers-cyberattack-fda.htm, April 2012..