Cargando…

A Spatiotemporal-Oriented Deep Ensemble Learning Model to Defend Link Flooding Attacks in IoT Network

(1) Background: Link flooding attacks (LFA) are a spatiotemporal attack pattern of distributed denial-of-service (DDoS) that arranges bots to send low-speed traffic to backbone links and paralyze servers in the target area. (2) Problem: The traditional methods to defend against LFA are heuristic and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Yen-Hung, Lai, Yuan-Cheng, Jan, Pi-Tzong, Tsai, Ting-Yi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913316/ https://www.ncbi.nlm.nih.gov/pubmed/33546204 http://dx.doi.org/10.3390/s21041027

Ejemplares similares

Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning
por: Abu Al-Haija, Qasem, et al.
Publicado: (2021)

XRecon: An Explainbale IoT Reconnaissance Attack Detection System Based on Ensemble Learning
por: Alani, Mohammed M., et al.
Publicado: (2023)

Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models
por: Rihan , Shaza Dawood Ahmed, et al.
Publicado: (2023)

Attacking IoT with Software defined radio
por: Andersson, Jonathan
Publicado: (2015)

Defending IoT infrastructures with the Raspberry Pi: monitoring and detecting nefarious behavior in real time
por: Hosmer, Chet
Publicado: (2018)

Attack Detection Using Network Coding in IoT Environment
por: Lee, Yong, et al.
Publicado: (2020)

Botnet Attack Detection in IoT Using Machine Learning
por: Alissa, Khalid, et al.
Publicado: (2022)

Automatic Verification and Execution of Cyber Attack on IoT Devices
por: Færøy, Fartein Lemjan, et al.
Publicado: (2023)

A Lightweight Trust Mechanism with Attack Detection for IoT
por: Zhou, Xujie, et al.
Publicado: (2023)

Memory-Based Pruning of Deep Neural Networks for IoT Devices Applied to Flood Detection
por: Fernandes Junior, Francisco Erivaldo, et al.
Publicado: (2021)

A Deep Intelligent Attack Detection Framework for Fog-Based IoT Systems
por: Gudla, Surya Pavan Kumar, et al.
Publicado: (2022)

A novel deep learning-based approach for detecting attacks in social IoT
por: Mohan Das, R., et al.
Publicado: (2023)

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning
por: Tsogbaatar, Enkhtur, et al.
Publicado: (2020)

Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications
por: Mishra, Nivedita, et al.
Publicado: (2021)

Multi-Aspect Based Approach to Attack Detection in IoT Clouds
por: Desnitsky, Vasily, et al.
Publicado: (2022)

A Data Enhancement Algorithm for DDoS Attacks Using IoT
por: Lv, Haibin, et al.
Publicado: (2023)

Spatiotemporal Access Model Based on Reputation for the Sensing Layer of the IoT
por: Guo, Yunchuan, et al.
Publicado: (2014)

Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction
por: Venkatachala Appa Swamy, Mareeswari, et al.
Publicado: (2023)

IoT
por: Yarali, Abdulrahman
Publicado: (2018)

How to attack and defend your website
por: Dalziel, Henry
Publicado: (2015)

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment
por: Huraj, Ladislav, et al.
Publicado: (2020)

Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture †
por: Soe, Yan Naung, et al.
Publicado: (2020)

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
por: Churcher, Andrew, et al.
Publicado: (2021)

A Systematic Review of Data-Driven Attack Detection Trends in IoT
por: Haque, Safwana, et al.
Publicado: (2023)

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review
por: Arshad, Bilal, et al.
Publicado: (2019)

The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework
por: Fadel, Magdy M., et al.
Publicado: (2022)

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?
por: Rahman, Md. Siddikur, et al.
Publicado: (2020)

An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks
por: Roy, Chirag, et al.
Publicado: (2021)

IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
por: Nauman, Muhammad Asif, et al.
Publicado: (2023)

Spatiotemporal characteristics of an attacker’s strategy to pass a defender effectively in a computer-based one-on-one task
por: Tsutsui, Kazushi, et al.
Publicado: (2019)

Defence against Black Hole and Selective Forwarding Attacks for Medical WSNs in the IoT †
por: Mathur, Avijit, et al.
Publicado: (2016)

Designing Efficient Sinkhole Attack Detection Mechanism in Edge-Based IoT Deployment
por: Pundir, Sumit, et al.
Publicado: (2020)

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks
por: Arshad, Akashah, et al.
Publicado: (2021)

Machine Learning Methods to Detect Voltage Glitch Attacks on IoT/IIoT Infrastructures
por: Jiang, Wei
Publicado: (2022)

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning
por: Negera, Worku Gachena, et al.
Publicado: (2022)

A Parameterized Perspective on Attacking and Defending Elections
por: Gowda, Kishen N., et al.
Publicado: (2020)

Building IoT Services for Aging in Place Using Standard-Based IoT Platforms and Heterogeneous IoT Products
por: Fattah, Sheik Mohammad Mostakim, et al.
Publicado: (2017)

Governing the IoT
por: Barlow, Mike
Publicado: (2016)

IoT Security
por: Liyanage, Madhusanka, et al.
Publicado: (2020)

Components and services for IoT platforms: paving the way for IoT standards
por: Keramidas, Georgios, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_c604e9d5bidkccl4su1iafu08m