Abstract
The problem of DoS attack on cloud-based networks can be tackled by using a wide range of unpredictable IP address, thus increasing the work put by the attackers by making these attackers to look up a ton of IP address space to get to the target host. Many target defences use randomization of IP addresses based on the assumption that newly assigned IP addresses will be harder to predict by attackers. Many samples were calculated using frequency computation, and the Markov process sample address prediction was made from a list of time series data of the collected IP addresses.
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