Intrusion Detection System using Machine Learning Project | CSE Projects for Final Year
Intrusion Detection System in Network Security
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Network intrusion detection is an increasingly critical component of cybersecurity defense systems. With growing cyber threats, organizations need robust intrusion detection to identify anomalous traffic, block malicious attacks in real-time, and prevent security breaches. This report demonstrates applying machine learning techniques to classify network traffic data for accurate and automated intrusion detection.
Software Requirements :-
• Coding Language : Python
• Implementation: Web Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : HTML, CSS, Django
Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.
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