Implementation of an ICA–PCA Based Framework for Evaluating Cybersecurity Performance and Mitigating DDoS Attacks in Iraqi Universities
ID:123 View Protection:ATTENDEE Updated Time:2026-07-22 16:10:12 Hits:24 Online

Start Time:2026-07-30 16:25(Asia/Kolkata)

Duration:15min

Session:S3 Cyber Security » S3-2Cyber Security

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Abstract
A Distributed Denial of Service (DDoS) attack is one of the most serious issues in academic institutions especially in Iraq where universities use digital services. The current research proposes an ICA–PCA hybrid approach that helps to increase cybersecurity levels by addressing DDoS attacks. This study uses a process involving the collection of traffic in the network, PCA method for data reduction, ICA for feature extraction, classification with Random Forest algorithm, and a Cybersecurity Performance Index (CPI) as a measure of cybersecurity maturity. The proposed approach achieved high classification efficiency and accuracy with rates of 99.3% and 99.1% respectively while the number of false alarms is minimal. The CPI index proved to be an effective measure of cybersecurity maturity level.
 
Keywords
DDoS,Cybersecurity Performance Evaluation,Independent Component Analysis (ICA,Principal Component Analysis (PCA)
Speaker
Fatin Hassan
M Sc student Middle Technical University

Submission Author
Fatin Hassan Middle Technical University
Adnan Ali AL-Esraa University,
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Important Date
  • Conference Date

    Jul 30

    2026

    to

    Aug 01

    2026

  • Jul 28 2026

    Draft paper submission deadline

  • Aug 03 2026

    Registration deadline

Sponsored By
The United Societies of Science
Organized By
Kongunadu College of Engineering and Technology
Supported By
IEEE Section
IEEE Madras Section
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