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Damage assessment is one of the main challenge for the various insurance organizations and other agencies with the task to access damage for financial claims or to make prediction of renovation cost. This study focuses to observe images acquired from internet or satellites for the utilization of distinguishing and dealing with a natural calamity. Images taken from satellite or air drone can depicts the state of ground and the data further could be analyzed for prediction of damage. This paper proposes a methodology to detect the flood affected area with hybrid approach using wavelet and convolutional neural network. This approach will further helps to assess the damage the by classifying the type of damage on the basis of its severity. CNN is able to find out features of disaster appropriately and will helps to differentiate between damaged and un-damaged regions. [ABSTRACT FROM AUTHOR]

Cloud Computing is booming technology in the IT sector. It provides virtual resources, dynamic scalability, software processing, and data storing facilities. Ever since cloud computing came into existence its demand has been increasing day by day. Nowadays, as confidentiality and security of the data is the biggest concern; the rising demand of the cloud platforms has made its providers re-think about the security facilities they are providing to their consumers to assure the data security on their platform. This paper gives a glimpse of the security issues being faced while using the cloud computing platforms and the degree of damage that could be done to the customer's data if not chosen carefully. The article discusses the important services provided by cloud platforms and various ways to avoid or tackle security concerns. [ABSTRACT FROM AUTHOR]