Intrusion Detection System Introduction, Types of Intruder
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.
ML models can continuously update on new data, adapting to detect evolving attacks and changing system behaviors. By learning from data, they eliminate manual effort in creating signatures and profiles. The systems can start protecting immediately without initial signature databases. ML reduces false alarms by focusing on detectable attack patterns. AI-powered IDS can autonomously improve intrusion detection capabilities over time.
Intrusion Detection System (IDS) ll Types Of Intruder Explained
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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