Applying adaptively reduced-order extended Kalman filter in cloud computing for intensifying its security

This paper organized as such: In the first section authors mention about all aspects of cloud computing – basic definitions, benefits, important features, workability and application, and so on. In the second section of this paper, authors mention Microsoft decisions about applying of cloud computing onto their newest products, such as Azure OS. In the third section of this paper, authors reveal new innovative algorithm for overcoming malfunctions and spyware actions from cloud platforms and resources. In this section, they purpose a new adaptively reduced-order extended Kalman filter for using as an estimator and predictor in cloud platforms. Authors claim that, if this algorithm were implemented on cloud gateways and resources, cloud service providers were able to track and trace lots of spyware and Trojans and also predict and estimate amount of power consumptions.

کلیدواژه ها:

Kalman filtering ، cloud computing ، information technology