[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review
SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
Securing the IoT Application Layer from an MQTT Protocol Perspective: Challenges and Research Prospects
S Lakshminarayana, A Praseed… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the most promising new millennial technologies, having
numerous applications in our surrounding environment. The fundamental goal of an IoT …
numerous applications in our surrounding environment. The fundamental goal of an IoT …
Real-time DDoS attack detection system using big data approach
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
[HTML][HTML] Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks
Abstract Machine learning based Intrusion Detection Systems (IDS) allow flexible and
efficient automated detection of cyberattacks in Internet of Things (IoT) networks. However …
efficient automated detection of cyberattacks in Internet of Things (IoT) networks. However …
Composition of hybrid deep learning model and feature optimization for intrusion detection system
Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …
Thus, cybersecurity has become a critical component to protect organizational boundaries …
A composite approach of intrusion detection systems: hybrid RNN and correlation-based feature optimization
Detection of intrusions is a system that is competent in detecting cyber-attacks and network
anomalies. A variety of strategies have been developed for IDS so far. However, there are …
anomalies. A variety of strategies have been developed for IDS so far. However, there are …
Fog-cloud based intrusion detection system using Recurrent Neural Networks and feature selection for IoT networks
Deep learning (DL) techniques are being widely researched for their effectiveness in
detecting cyber intrusions against the Internet of Things (IoT). Time sensitive Critical …
detecting cyber intrusions against the Internet of Things (IoT). Time sensitive Critical …
GAN-AE: An unsupervised intrusion detection system for MQTT networks
TK Boppana, P Bagade - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Households and businesses are becoming increasingly reliant on IoT systems since they
can reliably automate many tasks that otherwise require extensive human involvement. As a …
can reliably automate many tasks that otherwise require extensive human involvement. As a …
SENMQTT-SET: An intelligent intrusion detection in IoT-MQTT networks using ensemble multi cascade features
H Siddharthan, T Deepa, P Chandhar - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, the number of Internet of Things (IoT) networks has been grown exponentially,
which results in more data sharing between devices without appropriate security …
which results in more data sharing between devices without appropriate security …
MQTT vulnerabilities, attack vectors and solutions in the internet of things (IoT)
ABSTRACT Internet of Things (IoT) paved the way for devices and machine communication
using TCP/IP protocol. Lightweight and stateless communication is imperative especially in …
using TCP/IP protocol. Lightweight and stateless communication is imperative especially in …