Multifunctional Smart Cement Sensor Based on Triboelectric Nanogenerators

B Lai, C Xu, Y Hu, Y Chen, Z Li, J Zheng… - ACS Applied …, 2024 - ACS Publications
In the 21st century's wave of technological advancement, sensors, as a key component of
the Internet of Things (IoT), have significantly propelled the development of smart cities and …

[HTML][HTML] Improved sand cat swarm optimization with deep learning based enhanced malicious activity recognition for cybersecurity

N Almakayeel, EL Lydia - Alexandria Engineering Journal, 2024 - Elsevier
The main concept of a smart city is to join manual items with electronics, software, sensors,
and network connectivity for data contact via Internet of Things (IoT) gadgets. IoT improves …

[PDF][PDF] Intrusion Detection System Fog Security Model for the Smart Cities and Urban Sensing

N Ramana, EH Krishna - Journal of Sensors, IoT & Health …, 2023 - fringeglobal.com
In smart cities, Intrusion Detection Systems (IDS) play a critical role in enhancing
cybersecurity and safeguarding the interconnected network of devices and systems. Smart …

A Novel Methodology for Blockchain Traceable Food Supply Chain Based on the Composite Control Adaptive Neuro Fuzzy Inference System Technique

F Jaison, K Janaki - SN Computer Science, 2024 - Springer
A transnational network in the agricultural supply chains has surfaced as a result of the
development of a large number of stakeholders who are connected to one another via …

Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment

BB Gupta, A Gaurav, KT Chui, V Arya… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoTs) are a smart devices that connect the cyber and physical worlds.
Nowadays, IoT has applications in many domains. However, various threats could disrupt …

Comparative Analysis of Deep Learning Models for Node Prediction in Low-Power Lossy Networks

M Haman, SO Sati, K Graffi - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Theaccurate estimation of energy consumption within loT networks heavily relies on the
precise forecasting of node quantities. This research paper tackles this issue by introducing …

Enhancing Cyber-Attack Detection in IoT Networks through Deep Reinforcement Learning

T Subalaxmi, R Akalya, R Kaviya… - 2024 International …, 2024 - ieeexplore.ieee.org
Security of connected devices and networks is becoming an increasingly important concern
as the ecosystem of the Internet of Things (IoT) continues to grow. It is difficult for traditional …

A Dynamic Intrusion Detection System through Attention Self Supervised Convolutional Neural Networks

SKB Sangeetha - 2024 - researchsquare.com
Cyber-attacks are becoming common in linked environments these days, which means that
any devices, no matter how big or tiny, are vulnerable to them. In order to proactively …