Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Amruta H. Dudhe | Prajkta P. Chapke

Volume 02 Issue 02  Year 2015

ISSN no: 2348-3121

Page no: 28-31

Abstract— The benefits of cloud computing are clearly well known which include rapid deployment, ease of customization, reduce cost and low risks.  However, some high profile security breaches confuse organizations as they attempt to deploy cloud services in their businesses.  Although, the cloud service providers pitch the security of their services.  Enhancements in existing security measures and advanced solutions are needed to ensure high level security and privacy of data on cloud. This paper provides a holistic overview of cloud security issues by encompassing unique threats in cloud computing and presents findings of a survey of practitioners view on cloud security. A Virtualized High Trust Zone (VHTZ) is then presented as a solution, especially for infrastructure based cloud services to tackle the attacks and network monitoring in a virtualized infrastructure.

Keywords— Cloud security, high trust zone,  network monitoring


[1] “Data from PJM’s hourly load data” [Online]. Available: http://pjm.com/markets-and-operations/energy/real-time/loadhryr.aspx Feb. (2012).
[2] J. E. Runnels and M. D. Whyte, “Evaluation of demand-side management,” Proc. IEEE, Vol. 73, No. 10, pp. 1489–1495, Oct. (1985).
[3] C.W. Gellings, “The concept of demand-side management for electric utilities,” Proc. IEEE, vol. 73, pp. 1468–1470, Oct. (1985).
[4] Federal Energy Regulatory Commission, “Assessment of demand response and advanced metering” [Online]. Available: http://www.ferc. gov/legal/staff-reports/2010-dr-report.pdf Feb. (2011).
[5] M. Pipattanasomporn, M. Kuzlu, and S. Rahman, “An algorithm for intelligent home energy management and simulation for demand response analysis,” IEEE Trans. Smart Grid, accepted for publication.
[6] M. A. Piette, D.Watson, N.Motegi, S. Kiliccote, and E. Linkugel, “Automated demand response strategies and commissioning commercial building controls,” in Proc. 14th Natl. Conf. Building Commissioning, San Francisco, CA, Apr. (2006).
[7] D. Han and J. Lim, “Design and implementation of smart home energy management systems based on ZigBee,” IEEE Trans. Consum. Electron., Vol. 56, No. 3, pp. 1417–1425, (2010).
[8] Y. S. Son, T. Pulkkinen, K. Y. Moon, and C. Kim, “Home energy management system based on power line communication,” IEEE Trans. Consum. Electron., vol. 56, pp. 1380–1386, (2010).
[9] J. Li, J. Y. Chung, J. Xiao, J.W. Hong, and R. Boutaba, “On the design and implementation of a home energy management system,” in Proc. 6th Int. Symp.Wireless Pervasive Comput. (ISWPC), Feb. 23–25, (2011), pp. 1–6.
[10] J. Han, C. S. Choi, W. K. Park, and I. Lee, “Green home energy management system through comparison of energy usage between the same kinds of home appliances,” in Proc. 15h IEEE Int. Symp. Consum. Electron.(ISCE), (2011), pp. 1–4.
[11] M. Erol-Kantarci and H. T. Mouftah, “Wireless sensor networks for cost efficient residential energy management in the smart grid,” IEEE Trans. Smart Grid, Vol. 2, No. 2, pp. 314–325, (2011).
[12] M. A. A. Pedrasa, T. D. Spooner, and I. F. MacGill, “Coordinated scheduling of residential distributed energy resources to optimize smart home energy services,” IEEE Trans. Smart Grid, Vol. 1, No. 2, pp. 134– 143, Sep. (2010).
[13] A. H. Mohsenian-Rad and A. Leon-Garcia, “Optimal residential load control with price prediction in real-time electricity pricing environments,” IEEE Trans. Smart Grid, Vol. 1, No. 2, pp. 120–133, (2010).
[14] A. H. Mohsenian-Rad, V. W. S. Wong, J. Jatskevich, and R. Schober,“Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid,” in Proc. Innov. Smart Grid Technol. (ISGT) Conf., (2010), pp. 1–6.
[15] J. Drake, D. Najewicz, and W. Watts, “Energy efficiency comparisons of wireless communication technology options for smartgrid enabled devices” [Online]. Available: http://www.brymercreative. com/geal_2010/images/120910_zigbee.pdf Feb.(2012).
[16] “Median and average square feet of floor area in new single-family houses completed by location” [Online]. Available: www.census.gov/ const/C25Ann/sftotalmedavgsqft.pdf Feb. (2012).
[17] My Chevy Volt Website. [Online]. Available: http://www.mychevroletvolt. com Feb. (2012).
[18] “RELOAD database documentation and evaluation and use in NEMS” [Online]. Available: http://www.onlocationinc.com/LoadShapes- Reload 2001.pdf Feb. (2012).
[19] S. Shao,M. Pipattanasomporn, and S. Rahman, “Development of physical- based demand response-enabled residential load models,” IEEE Trans. Power Syst., submitted for publication.
[20] J.Wu and R. Poloquin, “Synchronizing device clocks using IEEE 1588 and Blackfin embedded processors” [Online]. Available: http://www.analog.com/library/analogDialogue/archives/43-11/IEEE_1588.html Feb. (2012).

Full Paper: Click Here