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Machine Learning DDoS Detection for Consumer Internet of Things Devices

Machine Learning DDoS Detection for Consumer Internet of Things Devices

11 April 2018
Rohan Doshi
Noah J. Apthorpe
Nick Feamster
ArXivPDFHTML

Papers citing "Machine Learning DDoS Detection for Consumer Internet of Things Devices"

50 / 50 papers shown
Title
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
Jiawei Zhou
Woojeong Kim
Zhiying Xu
Alexander M. Rush
Minlan Yu
AI4CE
34
0
0
31 Dec 2024
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
P Modi
16
0
0
16 Aug 2024
Leveraging Machine Learning for Accurate IoT Device Identification in
  Dynamic Wireless Contexts
Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts
Bhagyashri Tushir
Vikram K. Ramanna
Yuhong Liu
Behnam Dezfouli
39
0
0
15 May 2024
A Flow is a Stream of Packets: A Stream-Structured Data Approach for
  DDoS Detection
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection
Raja Giryes
Lior Shafir
A. Wool
74
1
0
12 May 2024
A Transformer-Based Framework for Payload Malware Detection and
  Classification
A Transformer-Based Framework for Payload Malware Detection and Classification
Kyle Stein
A. Mahyari
Guillermo A. Francia
Eman El-Sheikh
18
3
0
27 Mar 2024
Real-time Threat Detection Strategies for Resource-constrained Devices
Real-time Threat Detection Strategies for Resource-constrained Devices
Mounia Hamidouche
Biniam Fisseha Demissie
Bilel Cherif
40
2
0
22 Mar 2024
Enhancing IoT Security Against DDoS Attacks through Federated Learning
Enhancing IoT Security Against DDoS Attacks through Federated Learning
Ghazaleh Shirvani
Saeid Ghasemshirazi
Mohammad Ali Alipour
17
1
0
16 Mar 2024
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
Arvin Hekmati
Bhaskar Krishnamachari
GNN
16
2
0
14 Mar 2024
Self-adaptive Traffic Anomaly Detection System for IoT Smart Home
  Environments
Self-adaptive Traffic Anomaly Detection System for IoT Smart Home Environments
Naoto Watanabe
Taku Yamazaki
Takumi Miyoshi
Ryo Yamamoto
Masataka Nakahara
Norihiro Okui
Ayumu Kubota
14
0
0
05 Mar 2024
An Investigation into the Performances of the State-of-the-art Machine
  Learning Approaches for Various Cyber-attack Detection: A Survey
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
Tosin Ige
Christopher Kiekintveld
Aritran Piplai
AAML
32
4
0
26 Feb 2024
5G Networks and IoT Devices: Mitigating DDoS Attacks with Deep Learning
  Techniques
5G Networks and IoT Devices: Mitigating DDoS Attacks with Deep Learning Techniques
Reem M. Alzhrani
Mohammed Alliheedi
12
0
0
12 Nov 2023
Online Self-Supervised Deep Learning for Intrusion Detection Systems
Online Self-Supervised Deep Learning for Intrusion Detection Systems
Mert Nakıp
Erol Gelenbe
12
7
0
22 Jun 2023
Who Let the Smart Toaster Hack the House? An Investigation into the
  Security Vulnerabilities of Consumer IoT Devices
Who Let the Smart Toaster Hack the House? An Investigation into the Security Vulnerabilities of Consumer IoT Devices
Yang Li
A. Mandalari
Isabel Straw
14
4
0
15 Jun 2023
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic
  Monitoring of MUD Activity
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity
Ayyoob Hamza
Hassan Habibi Gharakheili
Theophilus A. Benson
Gustavo E. A. P. A. Batista
V. Sivaraman
14
0
0
11 Apr 2023
D-Score: An Expert-Based Method for Assessing the Detectability of
  IoT-Related Cyber-Attacks
D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks
Yair Meidan
D. Benatar
Ron Bitton
D. Avraham
A. Shabtai
14
8
0
02 Mar 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes
CADeSH: Collaborative Anomaly Detection for Smart Homes
Yair Meidan
D. Avraham
H. Libhaber
A. Shabtai
8
5
0
02 Mar 2023
Correlation-Aware Neural Networks for DDoS Attack Detection In IoT
  Systems
Correlation-Aware Neural Networks for DDoS Attack Detection In IoT Systems
Arvin Hekmati
Nishant Jethwa
Eugenio Grippo
Bhaskar Krishnamachari
GNN
11
8
0
15 Feb 2023
Open RAN Security: Challenges and Opportunities
Open RAN Security: Challenges and Opportunities
Madhusanka Liyanage
An Braeken
Shahriar Shahabuddin
Pasika Sashmal Ranaweera
11
52
0
03 Dec 2022
Machine and Deep Learning for IoT Security and Privacy: Applications,
  Challenges, and Future Directions
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
Subrato Bharati
Prajoy Podder
19
33
0
24 Oct 2022
LDoS attack detection method based on traffic time-frequency
  characteristics
LDoS attack detection method based on traffic time-frequency characteristics
Yu-Ting Fu
Xu Duan
Kun Wang
Bin Li
15
4
0
01 Jun 2022
Botnets Breaking Transformers: Localization of Power Botnet Attacks
  Against the Distribution Grid
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid
Lynn Pepin
Lizhi Wang
Jiangwei Wang
Songyang Han
Pranav Pishawikar
A. Herzberg
Peng-Zhen Zhang
Fei Miao
8
4
0
18 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
13
5
0
18 Mar 2022
NURSE: eNd-UseR IoT malware detection tool for Smart homEs
NURSE: eNd-UseR IoT malware detection tool for Smart homEs
Antoine dÉstalenx
Carlos H. Gañán
17
2
0
09 Mar 2022
Evaluation of an Anomaly Detector for Routers using Parameterizable
  Malware in an IoT Ecosystem
Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem
John Carter
Spiros Mancoridis
15
1
0
29 Oct 2021
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity
  Methods
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
Sam Strecker
Rushit Dave
Nyle Siddiqui
Naeem Seliya
18
26
0
15 Oct 2021
Selective privacy in IoT smart-farms for battery-powered device
  longevity
Selective privacy in IoT smart-farms for battery-powered device longevity
S. Rudd
H. Cunningham
11
0
0
05 Aug 2021
Securing Smart Homes via Software-Defined Networking and Low-Cost
  Traffic Classification
Securing Smart Homes via Software-Defined Networking and Low-Cost Traffic Classification
Holden Gordon
Christopher Batula
Bhagyashri Tushir
Behnam Dezfouli
Yuhong Liu
6
22
0
01 Apr 2021
Too Expensive to Attack: A Joint Defense Framework to Mitigate
  Distributed Attacks for the Internet of Things Grid
Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid
Jianhua Li
Ximeng Liu
Jiong Jin
Shui Yu
AAML
6
1
0
01 Apr 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A
  Survey for Machine Learning Security to Securing Machine Learning for CPS
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
Felix O. Olowononi
D. Rawat
Chunmei Liu
26
128
0
14 Feb 2021
Review on the Security Threats of Internet of Things
Review on the Security Threats of Internet of Things
Prajoy Podder
Hossain Mondal
Subrato Bharati
Pinto Kumar
10
20
0
12 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
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
17
27
0
06 Jan 2021
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing
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
12
34
0
28 Nov 2020
Adversarial Attacks on Optimization based Planners
Adversarial Attacks on Optimization based Planners
Sai H. Vemprala
Ashish Kapoor
AAML
12
10
0
30 Oct 2020
Feature Extraction for Novelty Detection in Network Traffic
Feature Extraction for Novelty Detection in Network Traffic
Kun Yang
Samory Kpotufe
Nick Feamster
AI4TS
12
8
0
30 Jun 2020
IoT meets COVID-19: Status, Challenges, and Opportunities
IoT meets COVID-19: Status, Challenges, and Opportunities
Mohsin Kamal
A. Aljohani
Eisa A. Alanazi
6
36
0
28 Jun 2020
Adversarial Machine Learning based Partial-model Attack in IoT
Adversarial Machine Learning based Partial-model Attack in IoT
Z. Luo
Shangqing Zhao
Zhuo Lu
Y. Sagduyu
Jie Xu
AAML
24
48
0
25 Jun 2020
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT
  Networks
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks
Keval Doshi
Y. Yilmaz
S. Uludag
6
53
0
15 Jun 2020
New Frontiers in IoT: Networking, Systems, Reliability, and Security
  Challenges
New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
S. Bagchi
Tarek F. Abdelzaher
R. Govindan
Prashant J. Shenoy
Akanksha Atrey
Pradipta Ghosh
Ran Xu
9
44
0
15 May 2020
Network Anomaly Detection based on Tensor Decomposition
Network Anomaly Detection based on Tensor Decomposition
A. Streit
Gustavo H. A. Santos
R. M. Leão
E. D. S. E. Silva
Daniel S. Menasché
Don Towsley
12
10
0
20 Apr 2020
Machine Learning Based Solutions for Security of Internet of Things
  (IoT): A Survey
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
S. M. Tahsien
H. Karimipour
P. Spachos
OOD
8
290
0
11 Apr 2020
Automating Botnet Detection with Graph Neural Networks
Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou
Zhiying Xu
Alexander M. Rush
Minlan Yu
GNN
8
60
0
13 Mar 2020
IoT Behavioral Monitoring via Network Traffic Analysis
IoT Behavioral Monitoring via Network Traffic Analysis
Arunan Sivanathan
12
16
0
28 Jan 2020
Anomalous Communications Detection in IoT Networks Using Sparse
  Autoencoders
Anomalous Communications Detection in IoT Networks Using Sparse Autoencoders
Mustafizur R. Shahid
Grégory Blanc
Zonghua Zhang
Hervé Debar
14
18
0
26 Dec 2019
Ten AI Stepping Stones for Cybersecurity
Ten AI Stepping Stones for Cybersecurity
Ricardo Morla
11
3
0
14 Dec 2019
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of
  DDoS to Cloud
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud
Hang Guo
Xun Fan
Anh Cao
G. Outhred
J. Heidemann
6
3
0
11 Dec 2019
PingPong: Packet-Level Signatures for Smart Home Device Events
PingPong: Packet-Level Signatures for Smart Home Device Events
R. Trimananda
Janus Varmarken
A. Markopoulou
Brian Demsky
6
35
0
26 Jul 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
E. Hossain
16
441
0
14 Mar 2019
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
Nickolaos Koroniotis
Nour Moustafa
E. Sitnikova
B. Turnbull
8
1,184
0
02 Nov 2018
A Survey of Machine and Deep Learning Methods for Internet of Things
  (IoT) Security
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
M. Al-garadi
Amr M. Mohamed
A. Al-Ali
Xiaojiang Du
M. Guizani
11
787
0
29 Jul 2018
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
T. D. Nguyen
Samuel Marchal
Markus Miettinen
Hossein Fereidooni
Nadarajah Asokan
A. Sadeghi
49
479
0
20 Apr 2018
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