Intrusion Detection System, Data Mining, Machine Learning
The idea of the project is to analyze the KDD CUP 1999 Dataset using WEKA tool then create rules for SNORT firewalls to detect intrusion attacks.
The required research should highlight the three concepts:
- Machine learning and data classification.
- Intrusion detection system (IDS).
- A literature review about the field of integrating machine learning and IDS.
At least 10 recent papers (2016 and after) from the famous publishers (like IEEE) should be included and researched:
- What is it about
- How it is done
- +ve and –ve
- If similar to our work
- Distinguishing our work
To submit a summary for a paper as mentioned above every day.
After that a final report to be submitted.
Additional work would be writing the SNORT rules for some of the attacks that are included in the dataset. If this part can be done then it is a complete project. Table 5 in the attached file helps in writing the SNORT rules.