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

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

20 April 2018
T. D. Nguyen
Samuel Marchal
Markus Miettinen
Hossein Fereidooni
Nadarajah Asokan
A. Sadeghi
ArXivPDFHTML

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

14 / 14 papers shown
Title
HuntGPT: Integrating Machine Learning-Based Anomaly Detection and
  Explainable AI with Large Language Models (LLMs)
HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)
Tarek Ali
Panos Kostakos
9
37
0
27 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly
  Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai
Feng Wang
L. Liu
Youwei Ding
Wanyi Lu
12
0
0
23 Aug 2023
Real-Time Cyberattack Detection with Offline and Online Learning
Real-Time Cyberattack Detection with Offline and Online Learning
Erol Gelenbe
Mert Nakıp
12
2
0
21 Mar 2023
MAVERICK: An App-independent and Platform-agnostic Approach to Enforce
  Policies in IoT Systems at Runtime
MAVERICK: An App-independent and Platform-agnostic Approach to Enforce Policies in IoT Systems at Runtime
M. Mazhar
Li Li
Endadul Hoque
Omar Chowdhury
12
3
0
02 Feb 2023
GowFed -- A novel Federated Network Intrusion Detection System
GowFed -- A novel Federated Network Intrusion Detection System
Aitor Belenguer
J. A. Pascual
J. Navaridas
FedML
19
6
0
28 Oct 2022
A Survey of Distributed Ledger Technology for IoT Verticals
A Survey of Distributed Ledger Technology for IoT Verticals
Rongxin Xu
Qiujun Lan
Shiva Raj Pokhrel
Gang Li
10
0
0
22 Aug 2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through
  Iterative Sensitivity Learning
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
14
1
0
27 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
13
117
0
29 May 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection
FLAD: Adaptive Federated Learning for DDoS Attack Detection
Roberto Doriguzzi-Corin
Domenico Siracusa
FedML
12
60
0
13 May 2022
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
FedML
9
162
0
15 Nov 2021
Evaluating Federated Learning for Intrusion Detection in Internet of
  Things: Review and Challenges
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
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge
  Traffic
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic
Ayush Kumar
M. Shridhar
S. Swaminathan
Teng Joon Lim
8
45
0
22 Oct 2020
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Rohan Doshi
Noah J. Apthorpe
Nick Feamster
73
582
0
11 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,813
0
08 Jul 2016
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