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

2 November 2018

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

48 / 48 papers shown

Title
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic Hassan Wasswa Timothy Lynar Aziida Nanyonga Hussein Abbass 52 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 33 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 47 2 0 21 Apr 2025
SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers Nimesha Wickramasinghe Arash Shaghaghi Gene Tsudik S. Jha 51 0 0 25 Mar 2025
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems Ayush Kumar V. Thing 60 0 0 21 Feb 2025
A Survey of Anomaly Detection in Cyber-Physical Systems Danial Abshari Meera Sridhar 50 3 0 18 Feb 2025
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning Ozlem Ceviz Sevil Sen Pinar Sadioglu 72 1 0 22 Jan 2025
Dealing with Imbalanced Classes in Bot-IoT Dataset Jesse Atuhurra Takanori Hara Yuanyu Zhang Masahiro Sasabe Shoji Kasahara 27 4 0 27 Mar 2024
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning Lijin Wu Shanshan Lei Feilong Liao Yuanjun Zheng Yuxin Liu Wentao Fu Hao Song Jiajun Zhou 35 1 0 24 Mar 2024
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems Ayoub Si-Ahmed M. Al-garadi Boustia Narhimene 19 4 0 14 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 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 29 0 0 17 Dec 2023
Security aspects in Smart Meters: Analysis and Prevention R. Redondo Ana Fernández Vilas Gabriel Fernández dos Reis 24 21 0 13 Dec 2023
Open Set Dandelion Network for IoT Intrusion Detection Jiashu Wu Hao Dai Kenneth B. Kent Jerome Yen Chengzhong Xu Yang Wang 36 1 0 19 Nov 2023
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks Xiang Li Jing Zhang Yalin Yuan Cangqi Zhou 26 3 0 26 Oct 2023
Online Self-Supervised Deep Learning for Intrusion Detection Systems Mert Nakıp Erol Gelenbe 25 7 0 22 Jun 2023
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection Mert Nakıp Baran Can Gül Erol Gelenbe 19 8 0 22 Jun 2023
LSTM based IoT Device Identification Kahraman Kostas 19 0 0 27 Apr 2023
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection Yalu Wang Zhijie Han Jie Li Xin He 25 1 0 07 Apr 2023
Real-Time Cyberattack Detection with Offline and Online Learning Erol Gelenbe Mert Nakıp 29 2 0 21 Mar 2023
IoT Botnet Detection Using an Economic Deep Learning Model Nelly Elsayed Zag ElSayed Magdy A. Bayoumi 13 3 0 03 Feb 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 37 28 0 30 Jan 2023
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network Sehan Samarakoon Yushan Siriwardhana P. Porambage Madhusanka Liyanage Sang-Yoon Chang Jinoh Kim Jong-Hoi Kim M. Ylianttila 18 74 0 02 Dec 2022
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture Mohammad Hossein Modirrousta Parisa Forghani M. A. Shoorehdeli 32 0 0 29 Nov 2022
Joint Semantic Transfer Network for IoT Intrusion Detection Jiashu Wu Yang Wang Binhui Xie Shuangliang Li Hao Dai Kejiang Ye Chengzhong Xu 31 16 0 28 Oct 2022
Network Intrusion Detection System in a Light Bulb Liam Daly Manocchio S. Layeghy Marius Portmann 16 9 0 06 Oct 2022
Network Intrusion Detection with Limited Labeled Data Using Self-supervision S. Lotfi M. Modirrousta S. Shashaani M. A. Shoorehdeli SSL 28 7 0 01 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 29 148 0 31 Aug 2022
Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 15 19 0 28 Jul 2022
CoAP-DoS: An IoT Network Intrusion Dataset Jared Mathews Prosenjit Chatterjee S. Banik 17 6 0 29 Jun 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 47 8 0 14 Jun 2022
Security of Machine Learning-Based Anomaly Detection in Cyber Physical Systems Zahra Jadidi S. Pal Nithesh Nayak K A. Selvakkumar C. Chang Maedeh Beheshti A. Jolfaei AAML 11 10 0 12 Jun 2022
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection Mohanad Sarhan Wai Weng Lo S. Layeghy Marius Portmann 18 59 0 08 Apr 2022
Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study Zihao Wang Fok Kar Wai V. Thing AAML 10 72 0 17 Mar 2022
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices Jhon Alexánder Parra S. Gutiérrez J. Branch 15 2 0 01 Mar 2022
An accurate IoT Intrusion Detection Framework using Apache Spark Mohamed Abushwereb Mouhammd Alkasassbeh Mohammad Almseidin Muhannad K. Mustafa 16 10 0 21 Feb 2022
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection Mohanad Sarhan S. Layeghy Nour Moustafa Marius Portmann FedML 11 72 0 04 Nov 2021
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 38 149 0 02 Aug 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 28 104 0 17 Jun 2021
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT Pavlos Papadopoulos Oliver Thornewill von Essen Nikolaos Pitropakis C. Chrysoulas Alexios Mylonas William J. Buchanan AAML 27 50 0 26 Apr 2021
Federated Learning for Malware Detection in IoT Devices Valerian Rey Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Martin Jaggi FedML 41 252 0 15 Apr 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 26 60 0 15 Apr 2021
IoT Security: Botnet detection in IoT using Machine learning Satish Pokhrel R. Abbas Bhulok Aryal 25 89 0 06 Apr 2021
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks Andrew Churcher R. Ullah Jawad Ahmad S. Rehman Fawad Masood M. Gogate Fehaid Alqahtani Boubakr Nour William J. Buchanan 29 163 0 10 Jan 2021
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing Truong Thu Huong Ta Phuong Bac D. M. Long B. D. Thang N. T. Binh T. D. Luong Tran Kim Phuc 31 43 0 28 Nov 2020
Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications Nour Moustafa Marwa Keshk Essam Soliman Debie Helge Janicke 8 67 0 04 Oct 2020
Experimental Review of Neural-based approaches for Network Intrusion Management M. Mauro G. Galatro A. Liotta AAML 24 62 0 18 Sep 2020
Machine Learning DDoS Detection for Consumer Internet of Things Devices Rohan Doshi Noah J. Apthorpe Nick Feamster 100 587 0 11 Apr 2018