I am thrilled to announce the publication of my latest research paper, titled “An Intelligent Behavioral-Based DDoS Attack Detection Method Using Adaptive Time Intervals,” in the prestigious Peer-to-Peer Networking and Applications journal by Springer.

🔗 Read the full paper here: Springer Link

Abstract

In this study, we address the escalating challenge of detecting Distributed Denial of Service (DDoS) attacks, which have become increasingly sophisticated and difficult to identify due to their resemblance to legitimate network traffic. Our proposed method focuses on analyzing network users’ behavior by clustering their activities based on adaptive time intervals throughout the day.

By introducing the ‘Timestamp’ feature as a primary indicator of normal behavior at different times, we enhance the accuracy of DDoS attack detection. The adaptive time intervals are computed using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, leading to the extraction of a novel feature that significantly improves detection capabilities. We validated our approach using the CICDDoS2019 and CICIoT2023 datasets, achieving impressive improvements in evaluation metrics across various machine learning models, including Support Vector Machine (SVM), Random Forest (RF), and XGBoost.

Key Contributions

✅ Adaptive, time-based clustering method to model normal network behavior, enhancing anomaly detection.
✅ Novel ‘Timestamp’ feature capturing temporal patterns in network usage, serving as a critical indicator for distinguishing between legitimate and malicious traffic.
✅ Comprehensive validation on recent datasets, demonstrating significant improvements in detection accuracy and reduction of false positives.

This research contributes to the fields of network security and machine learning by providing a robust framework for early and accurate detection of DDoS attacks, thereby enhancing the resilience of network infrastructures against such threats.

I would like to extend my deepest gratitude to Dr. Shamsinejad, my professor supervisor, and Dr. Javidan, my professor advisor, for their invaluable guidance and support throughout this research.

Looking forward to engaging discussions and potential collaborations in this field! Feel free to check out the paper and reach out with any thoughts or questions.

#Research #Publication #Springer #DDoSDetection #NetworkSecurity #MachineLearning #Cybersecurity 🚀