Towards the Development of Realistic Botnet Dataset in the Internet of
Things for Network Forensic Analytics: Bot-IoT Dataset

Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset

2 November 2018

Nickolaos Koroniotis

Papers citing "Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset"

18 / 18 papers shown

Title
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic Hassan Wasswa Timothy Lynar Aziida Nanyonga Hussein Abbass 29 1 0 26 Apr 2025
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets Hassan Wasswa Timothy Lynar Hussein Abbass 24 7 0 26 Apr 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder Hassan Wasswa Aziida Nanyonga Timothy Lynar DRL 38 2 0 21 Apr 2025
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems Ayush Kumar V. Thing 45 0 0 21 Feb 2025
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning Ozlem Ceviz Sevil Sen Pinar Sadioglu 65 1 0 22 Jan 2025
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 16 3 0 11 Jan 2024
A Study on Transferability of Deep Learning Models for Network Intrusion Detection Shreya Ghosh Abu Shafin Mohammad Mahdee Jameel Aly El Gamal AAML 17 0 0 17 Dec 2023
Security aspects in Smart Meters: Analysis and Prevention R. Redondo Ana Fernández Vilas Gabriel Fernández dos Reis 6 21 0 13 Dec 2023
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection Yalu Wang Zhijie Han Jie Li Xin He 4 1 0 07 Apr 2023
Real-Time Cyberattack Detection with Offline and Online Learning Erol Gelenbe Mert Nakıp 12 2 0 21 Mar 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 11 28 0 30 Jan 2023
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture Mohammad Hossein Modirrousta Parisa Forghani M. A. Shoorehdeli 12 0 0 29 Nov 2022
CoAP-DoS: An IoT Network Intrusion Dataset Jared Mathews Prosenjit Chatterjee S. Banik 6 6 0 29 Jun 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 26 8 0 14 Jun 2022
An accurate IoT Intrusion Detection Framework using Apache Spark Mohamed Abushwereb Mouhammd Alkasassbeh Mohammad Almseidin Muhannad K. Mustafa 11 10 0 21 Feb 2022
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 23 148 0 02 Aug 2021
Experimental Review of Neural-based approaches for Network Intrusion Management M. Mauro G. Galatro A. Liotta AAML 9 61 0 18 Sep 2020
Machine Learning DDoS Detection for Consumer Internet of Things Devices Rohan Doshi Noah J. Apthorpe Nick Feamster 73 582 0 11 Apr 2018