Data Quality Problem in AI-Based Network Intrusion Detection Systems Studies and a Solution Proposal

Author:

Halisdemir Maj. Emre1,Karacan Hacer2,Pihelgas Mauno3,Lepik Toomas4,Cho Sungbaek1

Affiliation:

1. Strategy Researcher CCDCOE,Tallinn,Estonia

2. Gazi University,Ankara,Turkey

3. Technology Researcher CCDCOE,Tallinn,Estonia

4. Tallinn University of Technology,Information Security Expert,Tallinn,Estonia

Publisher

IEEE

Reference37 articles.

1. Dataset: Traffic and Log Data Captured During a Cyber Defense Exercise’;tovar?ák;Zenodo,2020

2. Frankenstack: Real-time Cyberattack Detection and Feedback System for Technical Cyber Exercises

3. Traffic and log data captured during a cyber defense exercise’;tovar?ák;Data in Brief,2020

4. Predicting proficiency in cyber defense team exercises

5. Cyber Grand Challenge (CGC);DARPA,2021

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1. LSPR23: A novel IDS dataset from the largest live-fire cybersecurity exercise;Journal of Information Security and Applications;2024-09

2. Opportunities and Challenges of Using Artificial Intelligence in Securing Cyber-Physical Systems;Artificial Intelligence for Security;2024

3. SeNet-I: An approach for detecting network intrusions through serialized network traffic images;Engineering Applications of Artificial Intelligence;2023-11

4. Comparative Analysis of Pattern Mining Algorithms for Event Logs;2023 IEEE International Conference on Cyber Security and Resilience (CSR);2023-07-31

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