Abstract: Intrusions in computing environment are a very common unwanted malicious activity that is going on since the inception of computing resources. There are many numbers of security measures have taken place for the last decades, but as Technology has grown up, so as the security threats. With the whole world depending on computers, being directly or indirectly, it is a very important issue to prevent the malicious activities and threats that can hamper the computing infrastructures. Intrusion Detection System (IDS) is the standard measures to secure computing resources mostly in a network. Our proposed system mainly focused on the accuracy of the detection system. Since in order to detect the attack accurately large number of data set is needed and in order to process that data machine learning techniques are needed. So in our proposed system we used machine learning random forest algorithm for the training of the model and detection of the attacks using our tool.
Keywords: IR Sensor, Arduino, DC Motor, Water Pump.
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DOI:
10.17148/IJARCCE.2025.14267
