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Generative Adversarial Networks for Distributed Intrusion Detection in
  the Internet of Things

Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things

3 June 2019
A. Ferdowsi
Walid Saad
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things"

16 / 16 papers shown
Title
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 IoT
Mohammad Shamim Ahsan
Salekul Islam
Swakkhar Shatabda
31
0
0
31 May 2025
Harnessing Federated Generative Learning for Green and Sustainable
  Internet of Things
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things
Yuanhang Qi
M. Hossain
70
7
0
30 Apr 2024
Low-Quality Training Data Only? A Robust Framework for Detecting
  Encrypted Malicious Network Traffic
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Yuqi Qing
Qilei Yin
Xinhao Deng
Yihao Chen
Zhuotao Liu
Kun Sun
Ke Xu
Jia Zhang
Qi Li
AAML
99
17
0
09 Sep 2023
Convergence of Communications, Control, and Machine Learning for Secure
  and Autonomous Vehicle Navigation
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Tengchan Zeng
A. Ferdowsi
Omid Semiari
Walid Saad
Choong Seon Hong
21
4
0
05 Jul 2023
Dissemination Control in Dynamic Data Clustering For Dense IIoT Against
  False Data Injection Attack
Dissemination Control in Dynamic Data Clustering For Dense IIoT Against False Data Injection Attack
C. Pedroso
A. Santos
41
8
0
19 May 2022
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on
  Generative Adversarial Networks
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
R. She
Pingyi Fan
GAN
23
5
0
25 Mar 2022
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble
  Inference Models against Adversarial Volumetric Attacks on IoT Networks
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks
Arman Pashamokhtari
Gustavo E. A. P. A. Batista
Hassan Habibi Gharakheili
AAML
68
9
0
18 Mar 2022
Applications of Generative Adversarial Networks in Anomaly Detection: A
  Systematic Literature Review
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review
Mikael Sabuhi
Ming Zhou
Cor-Paul Bezemer
Petr Musílek
AI4TSMedIm
81
34
0
22 Oct 2021
Federated Learning for Intrusion Detection System: Concepts, Challenges
  and Future Directions
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
Shaashwat Agrawal
Sagnik Sarkar
Ons Aouedi
Gokul Yenduri
Kandaraj Piamrat
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
90
258
0
16 Jun 2021
Distributed Conditional Generative Adversarial Networks (GANs) for
  Data-Driven Millimeter Wave Communications in UAV Networks
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
Qianqian Zhang
A. Ferdowsi
Walid Saad
M. Bennis
69
33
0
02 Feb 2021
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G:
  Integrating Domain Knowledge into Deep Learning
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
87
17
0
13 Sep 2020
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection
  System
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System
Md Hasan Shahriar
Nur Imtiazul Haque
M. Rahman
M. Alonso
AAML
72
99
0
01 Jun 2020
Brainstorming Generative Adversarial Networks (BGANs): Towards
  Multi-Agent Generative Models with Distributed Private Datasets
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets
A. Ferdowsi
Walid Saad
AI4CE
47
17
0
02 Feb 2020
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks
Simon Msika
A. Quintero
Foutse Khomh
AAML
8
15
0
18 Dec 2019
Experienced Deep Reinforcement Learning with Generative Adversarial
  Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
Ali Taleb
Ieee Walid Saad Fellow
Ieee Mohammad Mozaffari Member
Ieee H. Vincent Poor Fellow
68
91
0
01 Nov 2019
Machine Learning in IoT Security: Current Solutions and Future
  Challenges
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain
Rasheed Hussain
Syed Ali Hassan
Ekram Hossain
87
536
0
14 Mar 2019
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