Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends

SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …

A Deep Learning Framework for IoT Lightweight Traffic Multi-classification: Smart-cities

LP Mudarakola, VK Bukkarayasamudram… - … Journal of Sensors …, 2024 - benthamdirect.com
Aims and Background: Increased traffic volume is a major challenge for effective network
management in the wake of the proliferation of mobile computing and the Internet of Things …

[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 …

Cybersecurity Implementation on Smart Government in Smart City: A Systematic Review.

MR Rafi Baihaqi, S Handayani… - International …, 2024 - search.ebscohost.com
Rapid advances in ICT have now developed in various ways. One of the developments is in
Smart Government, which has become a Smart City implementation domain. However, the …

A Lean and Modular Two-Stage Network Intrusion Detection System for IoT Traffic

BB Inácio, JCC de Araújo… - 2024 IEEE Latin …, 2024 - ieeexplore.ieee.org
The popularization of the Internet of Things (IoT) has led to cyberattacks targeting
interconnected applications. Traditional intrusion detection systems (IDS) struggle to cope …

Optimized Smart City Communication Security using Pacenids Classification Technique with WB-Smote Normalization

N Girubagari, TN Ravi… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Ensuring the security of communication networks is crucial for preserving urban resilience in
the fast-changing smart city environment. This study presents an Enhanced method of …

Machine Learning Algorithms for Binary and Multiclass Classification of IoT Network Traffic in Smart Cities

VS Kumar, D Sunehra - … on Artificial Intelligence For Internet of …, 2024 - ieeexplore.ieee.org
Internet of Things describes variety of embedded devices that are connected to the internet.
This network of devices are used to build smart environment for smart city applications and …