Abstract
The extensive usage of Internet is the major cause of more cyber-attacks. And these attacks are mainly with IP spoofing. So, the IOT devices must be secured to stop the IP spoofing and that involves the authorization of the source address of IP packets which are received at the gateway. This is important to stop an user who is unsanctioned from utilizing the IP address as the flooding packets and source to the gateway. From then on, the assigned bandwidth to allow users is used. All unique file names and file attributes are registered daily by tenants on the virtual machine and from these file lists and IP events often import specific data into CSP. Then, the assessing task will be done by the TWCP for remaining everyday log details and mailing the security risk information to all the tenants. We designed and implemented the DTOS program (DNS TRAFFIC QUERY PROGRAM) to analyze the DNS traffic. The previous IP address and also the calculation of the next IP address were performed. The analyzing and the prediction of the IP address is done mainly in two important cloud computing providers and discovered that the real entropy given by the specified IP addresses is restricted. Here, we consider many predictive models, such as the Markov process model which produces prediction data of the addresses from the connected IP addresses.
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Manasa, V., Charishma Jayasree, A.C., Selvi, M. (2021). A Unified and End-to-End Methodology for Predicting IP Address for Cloud and Edge Computing. In: Bhoi, A.K., Mallick, P.K., Balas, V.E., Mishra, B.S.P. (eds) Advances in Systems, Control and Automations . ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-15-8685-9_60
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