Network Security System in Mobile Edge Computing-to-IoMT Networks Using Distributed Approach

E Gyamfi, JA Ansere, M Kamal - Security and Risk Analysis for Intelligent …, 2023 - Springer
Abstract Internet of Things (IoT) has progressively grown in its use cases ranging from the
day-to-day lives of both individuals to industries. The growing rate on the Internet of …

A comparative analysis of machine learning algorithms for intrusion detection in edge-enabled IoT networks

P Mahadevappa, SM Muzammal… - arXiv preprint arXiv …, 2021 - arxiv.org
A significant increase in the number of interconnected devices and data communication
through wireless networks has given rise to various threats, risks and security concerns …

Deep Learning-Based Intrusion Detection System for Internet of Things Networks for Enhancing Security Against Cyber Attacks

P Sharma, DS Hasan, T Marthandan, J Singh… - … Conference on Electrical …, 2023 - Springer
Deep learning algorithms are used in this research to propose a novel approach to intrusion
detection in Internet of Things (IoT) networks. The suggested intrusion detection system …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks

Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …

Machine learning for enhancement of security in internet of things based applications

S Sharma, FR Lone, MR Lone - … and Privacy in the Internet of …, 2020 - taylorfrancis.com
Internet of Things (IoT) is a new paradigm in which billions of smart devices can
communicate with each other and exchange information with zero to minimal human …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

Internet of Things (IoTs) security: Intrusion detection using deep learning

OK Sahingoz, U Cekmez… - Journal of Web …, 2021 - ieeexplore.ieee.org
With the development of sensor and communication technologies, the use of connected
devices in industrial applications has been common for a long time. Reduction of costs …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

[PDF][PDF] Deep learning approaches for intrusion detection in IIoT networks–opportunities and future directions

T Vaiyapuri, Z Sbai, H Alaskar… - … Journal of Advanced …, 2021 - pdfs.semanticscholar.org
In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative
technology with a potential to digitize and interconnect many industries for huge business …