Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey
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Description
Now a Days, there is an increase in cyber attacks and cyber criminals against cyber-physical systems (CPSs), detecting these attacks remains challenging. Hence, the main motivation of our project is to detect the cyber attacks by using deep and machine learning algorithms. A kind of cyber security is the Intrusion detection. Hence, Intrusion detection is one of the important security problems in today’s cyber world. A significant number of techniques have been developed which are based on machine learning approaches. So for identifying the intrusion we have designed the machine learning algorithms. In this process we are used UNSW-NB15 dataset was taken from dataset repository.
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