DÏoT: A Federated Self-learning Anomaly Detection System for IoT

20 April 2018

Hossein Fereidooni

Papers citing "DÏoT: A Federated Self-learning Anomaly Detection System for IoT"

49 / 49 papers shown

Title
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems S. Mandelli Vinod Puthuvath Anderson Rocha Rafidha Rehiman K. A. Mauro Conti AAML 33 0 0 06 Apr 2025
MADEA: A Malware Detection Architecture for IoT blending Network Monitoring and Device Attestation Renascence Tarafder Prapty R. Trimananda Sashidhar Jakkamsetti Gene Tsudik A. Markopoulou 66 0 0 24 Feb 2025
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting Huming Qiu Junjie Sun Mi Zhang Xudong Pan Min Yang AAML 42 4 0 08 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs) Tarek Ali Panos Kostakos 30 39 0 27 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang L. Liu Youwei Ding Wanyi Lu 32 0 0 23 Aug 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
Real-Time Cyberattack Detection with Offline and Online Learning Erol Gelenbe Mert Nakıp 27 2 0 21 Mar 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 19 8 0 02 Mar 2023
MAVERICK: An App-independent and Platform-agnostic Approach to Enforce Policies in IoT Systems at Runtime M. Mazhar Li Li Endadul Hoque Omar Chowdhury 34 3 0 02 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 31 31 0 23 Jan 2023
GowFed -- A novel Federated Network Intrusion Detection System Aitor Belenguer J. A. Pascual J. Navaridas FedML 32 6 0 28 Oct 2022
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling Sourav Kumar A. Lakshminarayanan Ken Chang Feri Guretno Ivan Ho Mien Jayashree Kalpathy-Cramer Pavitra Krishnaswamy Praveer Singh FedML 36 7 0 12 Sep 2022
A Survey of Distributed Ledger Technology for IoT Verticals Rongxin Xu Qiujun Lan Shiva Raj Pokhrel Gang Li 26 0 0 22 Aug 2022
IoT-REX: A Secure Remote-Control System for IoT Devices from Centralized Multi-Designated Verifier Signatures Yohei Watanabe Naoto Yanai Junji Shikata 23 1 0 07 Aug 2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning Meisam Mohammady Han Wang Lingyu Wang Mengyuan Zhang Yosr Jarraya Suryadipta Majumdar M. Pourzandi M. Debbabi Yuan Hong 22 1 0 27 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing H. N. C. Neto Ivana Dusparic D. M. F. Mattos N. Fernandes FedML 17 10 0 23 May 2022
Federated Anomaly Detection over Distributed Data Streams Paula Raissa Silva João Vinagre João Gama FedML 4 2 0 16 May 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection Roberto Doriguzzi-Corin Domenico Siracusa FedML 34 61 0 13 May 2022
Symbolic analysis meets federated learning to enhance malware identifier Khanh-Huu-The Dam Charles-Henry Bertrand Van Ouytsel Axel Legay FedML 29 5 0 29 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 25 15 0 26 Apr 2022
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán T. Schenk A. Iten Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML 22 18 0 31 Jan 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework Tian Dong Song Li Han Qiu Jialiang Lu FedML 14 16 0 10 Jan 2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection Phillip Rieger T. D. Nguyen Markus Miettinen A. Sadeghi FedML AAML 33 151 0 03 Jan 2022
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities Tuo Zhang Lei Gao Chaoyang He Mi Zhang Bhaskar Krishnamachari Salman Avestimehr FedML 19 168 0 15 Nov 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu H. Song AI4TS 12 26 0 18 Aug 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
Revisiting IoT Device Identification Roman Kolcun Diana Andreea Popescu Vadim Safronov Poonam Yadav A. Mandalari Richard Mortier Hamed Haddadi 29 30 0 16 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 40 78 0 09 Jul 2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Tuo Zhang Chaoyang He Tian-Shya Ma Lei Gao Mark Ma Salman Avestimehr FedML 21 112 0 15 Jun 2021
Active Learning for Network Traffic Classification: A Technical Study A. Shahraki Mahmoud Abbasi Amirhosein Taherkordi A. Jurcut 22 42 0 13 Jun 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 23 44 0 21 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
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi-Li Zhang S. Çamtepe Hyoungshick Kim Surya Nepal 28 59 0 03 Mar 2021
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy Ajesh Koyatan Chathoth Abhyuday N. Jagannatha Stephen Lee 15 13 0 25 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 21 26 0 06 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 25 43 0 28 Nov 2020
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic Ayush Kumar M. Shridhar S. Swaminathan Teng Joon Lim 27 45 0 22 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 9 121 0 20 Oct 2020
Cost-aware Feature Selection for IoT Device Classification Biswadeep Chakraborty D. Divakaran Ido Nevat G. Peters M. Gurusamy 13 26 0 02 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 29 1 0 31 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Pérez Gregorio Martínez Pérez 27 95 0 07 Aug 2020
Fingerprinting Analog IoT Sensors for Secret-Free Authentication Felix Lorenz L. Thamsen Andreas Wilke Ilja Behnke Jens Waldmüller-Littke I. Komarov O. Kao M. Paeschke 17 9 0 11 Jun 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 27 175 0 14 Jan 2020
IoT-KEEPER: Securing IoT Communications in Edge Networks I. Hafeez M. Antikainen Aaron Yi Ding Sasu Tarkoma 9 10 0 19 Oct 2018
Machine Learning DDoS Detection for Consumer Internet of Things Devices Rohan Doshi Noah J. Apthorpe Nick Feamster 100 587 0 11 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016