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Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends
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 …
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 …
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 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 …
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 …
interconnected applications. Traditional intrusion detection systems (IDS) struggle to cope …
Optimized Smart City Communication Security using Pacenids Classification Technique with WB-Smote Normalization
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 …
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 …
This network of devices are used to build smart environment for smart city applications and …