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An Analytical Approach to Rescue Automation from External Assaults
There are many Machine Learning and AI based attacks which can destroy the data as well as the systems which are IOT based and the things connected to the internet. We are going to discuss the same data with the help of developing the in-built software within the product to stop all the offenses.
Both the good and negative aspects are taken into consideration when doing the research. When an offense occurs, most of the time, nothing is done to protect the system because there is nothing that can be done in response.
So, in an effort to save ourselves, we'll be working to create ML-based software using C++, C, and Python to thwart these kinds of assaults. With the aid of antivirus software and the implementation of many levels of firewalls, security against viruses, threats, and offenses will be achieved.This built-in software will instantly disconnect the USB Killer or drain its entire battery so that it won't function when it determines that it is inappropriate for the system as soon as it enters the system, preventing system destruction. And our attempt will be to use a USB rubber ducky that can also hack data if a few codes are placed to it already. As a result, we will work to develop an AI system based on codes that can prevent system hacking and help the user maintain composure.
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