Dissemination control in dynamic data clustering for dense IIoT against false data injection attack
Summary The Internet of Things (IoT) has made possible the development of increasingly
driven services, like industrial Industrial Internet of Things (IIoT) services, that often deal with …
driven services, like industrial Industrial Internet of Things (IIoT) services, that often deal with …
A lightweight and scalable physical layer attack detection mechanism for the internet of things (IoT) using hybrid security schema
Abstract The Internet of Things, also known as the IoT, refers to the billions of devices
around the world that are now connected to the Internet, collecting and sharing data. The …
around the world that are now connected to the Internet, collecting and sharing data. The …
[PDF][PDF] Anomaly detection for internet of things security attacks based on recent optimal federated deep learning model
R Udayakumar, M Anuradha, YM Gajmal… - J Internet Services Inform …, 2023 - jisis.org
Abstract The mushrooming of IoTs (Internet of Things) and decentralised paradigm in cyber
security have attracted a lot of interest from the government, academic, and business sectors …
security have attracted a lot of interest from the government, academic, and business sectors …
Drift Adaptive Online DDoS Attack Detection Framework for IoT System
Internet of Things (IoT) security is becoming important with the growing popularity of IoT
devices and their wide applications. Recent network security reports revealed a sharp …
devices and their wide applications. Recent network security reports revealed a sharp …
Timely detection of DDoS attacks in IoT with dimensionality reduction
The exponential growth of IoT devices and their interdependency makes the technology
more vulnerable to network attacks like Distributed Denial of Service (DDoS) that interrupt …
more vulnerable to network attacks like Distributed Denial of Service (DDoS) that interrupt …
Federated-learning-based anomaly detection for IoT security attacks
V Mothukuri, P Khare, RM Parizi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …
Internet via networks that perform tasks independently with less human intervention. Such …
A Data Enhancement Algorithm for DDoS Attacks Using IoT
H Lv, Y Du, X Zhou, W Ni, X Ma - Sensors, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), the frequency of attackers using
botnets to control IoT devices in order to perform distributed denial-of-service attacks (DDoS) …
botnets to control IoT devices in order to perform distributed denial-of-service attacks (DDoS) …
Enhanced IoT Security for DDOS Attack Detection: Split Attention based ResNeXt-GRU Ensembler Approach
The rising Internet of Things (IoT) device count has caused security concerns among high-
tech companies and groups, which has resulted in several evaluations. IoT's pervasive …
tech companies and groups, which has resulted in several evaluations. IoT's pervasive …
Edge-Federated Learning based Intelligent Intrusion Detection System for Heterogeneous Internet of Things
Distributed denial of service (DDoS) is an awful cyber threat, becoming more prevalent with
mature heterogeneous IoT (HetIoT) applications like intelligent agriculture, wearables, and …
mature heterogeneous IoT (HetIoT) applications like intelligent agriculture, wearables, and …
Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach
The popularity of Internet of Things (IoT) devices in smart homes has raised significant
concerns regarding data security and privacy. Traditional machine learning (ML) methods …
concerns regarding data security and privacy. Traditional machine learning (ML) methods …