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2.8 Discussions and Implications

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It is definitely difficult to automate the security task hundred percent but our application of KNN can intervene with its data-based design model which can identify similar kinds of attacks and can combat over it eventually. It can be automated to gain authorized access to the networks communicating with the IOT devices, thereby the collision of human intelligence and artificial intelligence together would produce much of generic outputs accomplished with greater efficiency. Besides, to enrich the content of security analysis activity, studies have been further elongated upon the visualized parameters of defending cognitive infrastructures compelling over the security vector machines which can deduce the clusters with maximized efficiency to create AI products of making it imprecate for us to get on to IoT devices.

In our study of computational intelligence which has raised its impactable approach over cyber intelligence in getting on to analyzing and identifying the digital safety threats to deal with the intruders over the clouds for various application tools has embarked upon the security design and security architecture with hostile alterations to data which is nothing but intellectual property secrets. As IoT enriched cyber-based existing systems are coming across vulnerabilities, the intruder over the cloud from the web have compelled our introspective technical ideas to do the makeover of the secured thread caused by the generously malicious systems.

It is approximately calculated that the number of connected devices will increase to 40 billion by end of 2020. But the latest research says that it may further exceed 60 billion because of this pandemic situation that we are undergoing. Hence, it becomes the call of the hour to put up our keen study and implementation ideas to provide a real-time response to do the diagnose data processing and analysis to have been applied with the machine learning techniques with data retrieval to make the decision accurate and timely which is the goal of this data-based work.

Machine Learning Approach for Cloud Data Analytics in IoT

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