activity
20192025
most citedUNSW-NB15 Computer Security Dataset: Analysis through Visualization

17 citations · 36 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NE2025

Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks

Gursel Serpen

We are proposing fully parallel and maximally distributed hardware realization of a generic neuro-computing system. More specifically, the proposal relates to the wireless sensor n…

cs.NE2025

Empirical Investigation into Configuring Echo State Networks for Representative Benchmark Problem Domains

Brooke R. Weborg, Gursel Serpen

This paper examines Echo State Network, a reservoir computer, performance using four different benchmark problems, then proposes heuristics or rules of thumb for configuring the ar…

cs.CR2022

Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection

Zeinab Zoghi, Gursel Serpen

Machine Learning-based supervised approaches require highly customized and fine-tuned methodologies to deliver outstanding performance. This paper presents a dataset-driven design…

cs.CR2021★ 17 cited

UNSW-NB15 Computer Security Dataset: Analysis through Visualization

Zeinab Zoghi, Gursel Serpen

This paper presents a visual analysis of the UNSW-NB25 computer network security or intrusion detection dataset in order to detect any issues inherent to this dataset which may req…

cs.NI2020

Reduced Complexity Simulation of Wireless Sensor Networks for Application Development

Gursel Serpen, Zhenning Gao

This paper presents an approach for low-cost simulation modeling for application development for wireless sensor networks. Computational complexity of simulating wireless sensor ne…

cs.CR2020★ 2 cited

Intrusion Detection and identification System Design and Performance Evaluation for Industrial SCADA Networks

Ahsan Al Zaki Khan, Gursel Serpen

In this paper, we present a study that proposes a three-stage classifier model which employs a machine learning algorithm to develop an intrusion detection and identification syste…