[HTML][HTML] Towards secure IoT networks: A comprehensive study of metaheuristic algorithms in conjunction with CNN using a self-generated dataset
Abstract The Internet of Things (IoT) has radically reformed various sectors and industries,
enabling unprecedented levels of connectivity and automation. However, the surge in the …
enabling unprecedented levels of connectivity and automation. However, the surge in the …
Enhancing internet of things network security using hybrid CNN and xgboost model tuned via modified reptile search algorithm
This paper addresses the critical security challenges in the internet of things (IoT) landscape
by implementing an innovative solution that combines convolutional neural networks …
by implementing an innovative solution that combines convolutional neural networks …
[PDF][PDF] ENHANCING IIOT SECURITY WITH MACHINE LEARNING AND DEEP LEARNING FOR INTRUSION DETECTION
The rapid growth of the Internet of Things (IoT) and digital industrial devices has significantly
impacted various aspects of life, underscoring the importance of the Industrial Internet of …
impacted various aspects of life, underscoring the importance of the Industrial Internet of …
A Hybrid Framework Leveraging Whale Optimization and Deep Learning with Trust-Index for Attack Identification in IoT Networks
V Gotarane, S Abimannan, S Hussain… - IEEE Access, 2024 - ieeexplore.ieee.org
The rise of smart cities, smart homes, and smart health powered by the Internet of Things
(IoT) presents significant challenges in design, deployment, and security. The seamless data …
(IoT) presents significant challenges in design, deployment, and security. The seamless data …
Intrusion Detection System using Modified Arithmetic Optimization Algorithm for Large-scale IoT
SN Makhadmeh, Y Sanjalawe… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This paper introduces an Intrusion Detection System (IDS) designed to enhance security in
expansive IoT networks. The proposed IDS leverages one of thee most popular Machine …
expansive IoT networks. The proposed IDS leverages one of thee most popular Machine …
[PDF][PDF] A comparative study of machine learning algorithms for intrusion detection in IoT networks
Accepted: 28 May 2023 The pervasive threat of cyberattacks jeopardizes the security and
privacy of the Internet of Things (IoT) landscape, spanning devices to networks. To counter …
privacy of the Internet of Things (IoT) landscape, spanning devices to networks. To counter …
Enhancing IoT Intrusion Detection with XGBoost-Based Feature Selection and Deep Neural Networks
A Fadhil Mohammed… - International Journal of …, 2024 - journal.uob.edu.bh
The Internet of Things (IoT) networks face noteworthy vulnerabilities to cyber-attacks, mainly
restricting from the widespread integration of interconnected smart devices. To protect these …
restricting from the widespread integration of interconnected smart devices. To protect these …
A good defense is a strong DNN: defending the IoT with deep neural networks
L Holbrook, M Alamaniotis - Machine Learning Paradigms: Advances in …, 2020 - Springer
This chapter frames in the realm of Internet of Things (IoT) and provides a new deep
learning solution for securing networks connecting IoT devices. In particular, it discusses a …
learning solution for securing networks connecting IoT devices. In particular, it discusses a …
Machine Learning Approach for Mitigating Security Threats in IoT Environment
In today's world, a huge amount of data and information is transferred through wireless
networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors …
networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors …
Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing
This work introduces an intrusion detection system (IDS) tailored for industrial internet of
things (IIoT) environments based on an optimized convolutional neural network (CNN) …
things (IIoT) environments based on an optimized convolutional neural network (CNN) …