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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
Nour Moustafa
E. Sitnikova
B. Turnbull
ArXiv (abs)PDFHTML

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

50 / 122 papers shown
CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
Mayar Elfares
Pascal Reisert
Tilman Dietz
Manpa Barman
Ahmed Zaki
Ralf Küsters
Andreas Bulling
ELM
139
0
0
02 Dec 2025
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways
Saeid Jamshidi
Foutse Khomh
Kawser Wazed Nafi
Amin Nikanjam
Samira Keivanpour
Omar Abdul-Wahab
Martine Bellaiche
72
0
0
23 Nov 2025
Revisiting Network Traffic Analysis: Compatible network flows for ML models
Revisiting Network Traffic Analysis: Compatible network flows for ML models
João Vitorino
Daniela Pinto
Eva Maia
Ivone Amorim
Isabel Praça
OOD
209
0
0
11 Nov 2025
AegisMCP: Online Graph Intrusion Detection for Tool-Augmented LLMs on Edge Devices
AegisMCP: Online Graph Intrusion Detection for Tool-Augmented LLMs on Edge Devices
Zhonghao Zhan
Amir Al Sadi
Krinos Li
Hamed Haddadi
163
0
0
22 Oct 2025
A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
Hikmat A. M. Abdeljaber
M. Hossain
Sultan Ahmad
Ahmed Alsanad
Md Alimul Haque
Sudan Jha
Jabeen Nazeer
61
0
0
09 Oct 2025
AutoML in Cybersecurity: An Empirical Study
AutoML in Cybersecurity: An Empirical Study
Sherif Saad
Kevin Shi
M. Mamun
H. Elmiligi
104
0
0
28 Sep 2025
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A SurveyInternational Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
Devashish Chaudhary
Sutharshan Rajasegarar
Mengyue Deng
FedMLAI4CE
550
3
0
24 Sep 2025
MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
Tongxi Wu
Chenwei Xu
Jin Yang
105
0
0
22 Aug 2025
Developing a Transferable Federated Network Intrusion Detection System
Developing a Transferable Federated Network Intrusion Detection System
Abu Shafin Mohammad Mahdee Jameel
Shreya Ghosh
Aly El Gamal
115
0
0
12 Aug 2025
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
Mohammad Alikhani
Reza Kazemi
139
1
0
14 Jul 2025
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoTSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2025
Mohammad Shamim Ahsan
Salekul Islam
Swakkhar Shatabda
166
7
0
31 May 2025
GPML: Graph Processing for Machine Learning
GPML: Graph Processing for Machine Learning
Majed Jaber
Julien Michel
Nicolas Boutry
Pierre Parrend
225
0
0
13 May 2025
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
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
369
15
0
26 Apr 2025
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic
Hassan Wasswa
Timothy Lynar
Aziida Nanyonga
Hussein Abbass
268
9
0
26 Apr 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
Hassan Wasswa
Aziida Nanyonga
Timothy Lynar
DRL
353
7
0
21 Apr 2025
SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers
SoK: Decoding the Enigma of Encrypted Network Traffic ClassifiersIEEE Symposium on Security and Privacy (S&P), 2025
Nimesha Wickramasinghe
Arash Shaghaghi
Gene Tsudik
S. Jha
342
13
0
25 Mar 2025
Payload-Aware Intrusion Detection with CMAE and Large Language Models
Payload-Aware Intrusion Detection with CMAE and Large Language ModelsACM Transactions on Privacy and Security (TOPS), 2025
Yongcheol Kim
Chanjae Lee
Young Yoon
244
3
0
23 Mar 2025
Detecting and Mitigating DDoS Attacks with AI: A Survey
Detecting and Mitigating DDoS Attacks with AI: A Survey
Alexandru Apostu
Silviu Florin Gheorghe
Andrei Iulian Hiji
Nicolae Cleju
A. Pătraşcu
Cristian Rusu
Radu Tudor Ionescu
Paul Irofti
AAML
231
5
0
22 Mar 2025
Enhancing Resiliency of Sketch-based Security via LSB Sharing-based Dynamic Late Merging
Enhancing Resiliency of Sketch-based Security via LSB Sharing-based Dynamic Late Merging
Seungsam Yang
Seyed Mohammad Mehdi Mirnajafizadeh
Sian Kim
Rhongho Jang
Daehun Nyang
151
1
0
14 Mar 2025
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
Majed Luay
S. Layeghy
Seyedehfaezeh Hosseininoorbin
Mohanad Sarhan
Nour Moustafa
Marius Portmann
303
8
0
06 Mar 2025
A Survey of Anomaly Detection in Cyber-Physical Systems
A Survey of Anomaly Detection in Cyber-Physical Systems
Danial Abshari
Meera Sridhar
263
22
0
18 Feb 2025
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning
Ozlem Ceviz
Sevil Sen
Pinar Sadioglu
271
5
0
22 Jan 2025
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
Gordon Owusu Boateng
Hani Sami
Ahmed Alagha
Hanae Elmekki
Ahmad Hammoud
...
Jamal Bentahar
Sami Muhaidat
C. Talhi
Z. Dziong
Mohsen Guizani
196
42
0
31 Dec 2024
CyberSentinel: Efficient Anomaly Detection in Programmable Switch using
  Knowledge Distillation
CyberSentinel: Efficient Anomaly Detection in Programmable Switch using Knowledge Distillation
Sankalp Mittal
246
0
0
21 Dec 2024
NIDS Neural Networks Using Sliding Time Window Data Processing with
  Trainable Activations and its Generalization Capability
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability
A. Raskovalov
N. Gabdullin
Ilya Androsov
AI4TS
290
1
0
24 Oct 2024
Towards a graph-based foundation model for network traffic analysis
Towards a graph-based foundation model for network traffic analysis
Louis Van Langendonck
Ismael Castell-Uroz
Pere Barlet-Ros
276
5
0
12 Sep 2024
CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System
  for DDoS attacks in an SDN environment
CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
Rasoul Jafari Gohari
Laya Aliahmadipour
M. Rafsanjani
AAML
114
6
0
05 Sep 2024
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
Ayush Kumar
V. Thing
347
1
0
26 Aug 2024
FedMADE: Robust Federated Learning for Intrusion Detection in IoT
  Networks Using a Dynamic Aggregation Method
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation MethodInformation Security Conference (IS), 2024
Shihua Sun
Pragya Sharma
Kenechukwu Nwodo
Angelos Stavrou
Haining Wang
550
11
0
13 Aug 2024
Lightweight Dataset for Decoy Development to Improve IoT Security
Lightweight Dataset for Decoy Development to Improve IoT Security
David Weissman
A. Jayasumana
68
0
0
29 Jul 2024
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network
  for Network Security
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security
Louis Van Langendonck
Ismael Castell-Uroz
Pere Barlet-Ros
224
3
0
19 Jun 2024
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
Miguel Silva
João Vitorino
Eva Maia
Isabel Praça
154
1
0
12 Jun 2024
Individual Packet Features are a Risk to Model Generalisation in
  ML-Based Intrusion Detection
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
Kahraman Kostas
Mike Just
M. Lones
213
2
0
07 Jun 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy
Jithin Jagannath
274
14
0
27 May 2024
Enhancing Critical Infrastructure Cybersecurity: Collaborative DNN
  Synthesis in the Cloud Continuum
Enhancing Critical Infrastructure Cybersecurity: Collaborative DNN Synthesis in the Cloud Continuum
Lav Gupta
Guoxing Yao
226
0
0
23 May 2024
Enhancing IoT Security: A Novel Feature Engineering Approach for
  ML-Based Intrusion Detection Systems
Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
Afsaneh Mahanipour
Hana Khamfroush
234
3
0
29 Apr 2024
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT
  Systems
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems
Ali Ghubaish
Zebo Yang
A. Erbad
Rajkumar Jain
98
9
0
20 Apr 2024
Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
Wadid Foudhaili
Anouar Nechi
Celine Thermann
Mohammad Al Johmani
R. Buchty
Mladen Berekovic
Saleh Mulhem
102
5
0
13 Apr 2024
Dealing with Imbalanced Classes in Bot-IoT Dataset
Dealing with Imbalanced Classes in Bot-IoT Dataset
Jesse Atuhurra
Takanori Hara
Yuanyu Zhang
Masahiro Sasabe
Shoji Kasahara
143
7
0
27 Mar 2024
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive
  Learning
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
226
3
0
24 Mar 2024
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via
  NN-Driven Traffic Analysis at Line-Speed
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
Jinzhu Yan
Haotian Xu
Zhuotao Liu
Qi Li
Ke Xu
Mingwei Xu
Jianping Wu
172
38
0
17 Mar 2024
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
Ayoub Si-Ahmed
M. Al-garadi
Boustia Narhimene
341
12
0
14 Mar 2024
Applying Self-supervised Learning to Network Intrusion Detection for
  Network Flows with Graph Neural Network
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
Renjie Xu
Guangwei Wu
Weiping Wang
Xing Gao
An He
Zhengpeng Zhang
SSL
298
55
0
03 Mar 2024
Always be Pre-Training: Representation Learning for Network Intrusion
  Detection with GNNs
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs
Zhengyao Gu
Diego Troy Lopez
Lilas Alrahis
Ozgur Sinanoglu
AI4CE
284
6
0
29 Feb 2024
Exploring Emerging Trends in 5G Malicious Traffic Analysis and
  Incremental Learning Intrusion Detection Strategies
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies
Zihao Wang
K. Fok
V. Thing
208
6
0
22 Feb 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
Shahid Alam
Zeynep Altıparmak
300
7
0
04 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
281
15
0
11 Jan 2024
Improving Transferability of Network Intrusion Detection in a Federated
  Learning Setup
Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
Shreya Ghosh
Abu Shafin Mohammad Mahdee Jameel
Aly El Gamal
FedML
132
2
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07 Jan 2024
A Study on Transferability of Deep Learning Models for Network Intrusion
  Detection
A Study on Transferability of Deep Learning Models for Network Intrusion Detection
Shreya Ghosh
Abu Shafin Mohammad Mahdee Jameel
Aly El Gamal
AAML
229
0
0
17 Dec 2023
Security aspects in Smart Meters: Analysis and Prevention
Security aspects in Smart Meters: Analysis and PreventionItalian National Conference on Sensors (INS), 2020
R. Redondo
Ana Fernández Vilas
Gabriel Fernández dos Reis
231
25
0
13 Dec 2023
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