Review of artificial intelligence for enhancing intrusion detection in the internet of things

M Saied, S Guirguis, M Madbouly - Engineering Applications of Artificial …, 2024 - Elsevier
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …

Survey on Unified Threat Management (UTM) Systems for Home Networks

A Siddiqui, BP Rimal, M Reisslein… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

SecureBlock: An ML-blockchain consumer-centric sustainable solution for industry 5.0

G Rathee, CA Kerrache, CT Calafate… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Consumer Electronics (CE) are defined as one of the emerging trends where smart devices,
such as refrigerators, smart phones, or house hold devices, generate a huge amount of …

Optimising barrier placement for intrusion detection and prevention in WSNs

CKK Reddy, VS Kaza, PR Anisha, MM Khubrani… - Plos one, 2024 - journals.plos.org
This research addresses the pressing challenge of intrusion detection and prevention in
Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach …

[PDF][PDF] Contribution of the IoT to the Security System

Z Abdulkadir, A Ibrahim, MA Baballe… - J Math Techniques …, 2023 - opastpublishers.com
Utilizing the internet of things (IoT), it is now possible to secure people's lives, businesses,
schools, organizations, and residences utilizing alarm security systems that will monitor …

An enhancement method in few-shot scenarios for intrusion detection in smart home environments

Y Chen, J Wang, T Yang, Q Li, NA Nijhum - Electronics, 2023 - mdpi.com
Different devices in the smart home environment are subject to different levels of attack.
Devices with lower attack frequencies confront difficulties in collecting attack data, which …

A comparative study of using boosting-based machine learning algorithms for IoT network intrusion detection

M Saied, S Guirguis, M Madbouly - International Journal of Computational …, 2023 - Springer
Abstract The Internet-of-Things (IoT) environment has revolutionized the quality of living
standards by enabling seamless connectivity and automation. However, the widespread …

SUTMS: Designing a Unified Threat Management System for Home Networks

A Siddiqui, BP Rimal, M Reisslein, GC Deepak… - IEEE …, 2024 - ieeexplore.ieee.org
The cultural shift of work from on-premises to remote home offices allows hackers to access
corporate data by compromising devices attached to home-based broadband routers …

Intrusion detection and secure data storage in the cloud were recommend by a multiscale deep bidirectional gated recurrent neural network

BC Preethi, R Vasanthi, G Sugitha… - Expert Systems with …, 2024 - Elsevier
Data communication security is developing very day with the creation of cloud computing.
The imperative for robust data communication security has become increasingly evident with …

Integrating IoT and Machine Learning to Provide Intelligent Security in Smart Homes

S Batool, MK Abid, MA Salahuddin, Y Aziz… - Journal of Computing & …, 2024 - jcbi.org
The technology is built entirely on the IoT and ML methods and is very desired in the sector
of security. This method allows consumers to secure and regulate their homes. The system …