5 papers
Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
Sumeyye Bas, Kiymet Kaya, Elif Ak +1
The routing protocol for low-power and lossy networks (RPL) has become the de facto routing standard for resource-constrained IoT systems, but its lightweight design exposes critic…
WBHT: A Generative Attention Architecture for Detecting Black Hole Anomalies in Backbone Networks
Kiymet Kaya, Elif Ak, Sule Gunduz Oguducu
We propose the Wasserstein Black Hole Transformer (WBHT) framework for detecting black hole (BH) anomalies in communication networks. These anomalies cause packet loss without fail…
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
Eren Olug, Kiymet Kaya, Resul Tugay +1
Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduce…
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
Sumeyye Bas, Kiymet Kaya, Resul Tugay +1
Graphs are crucial for representing interrelated data and aiding predictive modeling by capturing complex relationships. Achieving high-quality graph representation is important fo…
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
Kiymet Kaya, Elif Ak, Sumeyye Bas +2
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) mod…