Intrusion Detection System in Network Security | Machine Learning Projects
Intrusion detection systems (IDS) monitor network activity to detect violations and threats. Traditional IDS relied on rule-based approaches with signatures to detect known attacks. However, these fail to generalize for new threats. Modern IDS leverage machine learning to train models on network data that can detect both existing and zero-day attacks. This data-driven approach builds intelligent systems that continually improve as they see more data.
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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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