• Mohammed Mohaideen.J
• AnanjanVikash.R.K
• Ashik Elahi Khan.S

The proposed model is aimed at detecting intrusions by classifying as benign or malicious in the data set (KDD Cup 99 & CIDCD) has been used to train and test.Then data preprocessing will happen to remove null values and redundancy in the dataset. k means algorithm is used to clustering the dataset into three. Machine learning algorithm called Random Forest algorithm is used to find the accuracy and also to calculate the confusion matrix.Then,Implemented the deep learning algorithm using Long Short Term Memory algorithm to find the accuracy and also to calculate the confusion matrix. Compare both the accuracy of the Random forest algorithm and Long Short Term algorithm to conclude that the Long Short Term Algorithm is more than Random Forest. Finally send the details of attacked data to the user by email using SMTP

Attacks, Random Forest, LSTM, accuracy, confusion matrix.

"Machine Learning and Deep Learning Based Cyber attack Detection in Industrial automation and Control system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.a588-a594, July-2022, Available :http://www.jetir.org/papers/JETIR2207071.pdf

"Machine Learning and Deep Learning Based Cyber attack Detection in Industrial automation and Control system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppa588-a594, July-2022, Available at : http://www.jetir.org/papers/JETIR2207071.pdf