Detection of Cyber Attacks in IoT-Based Smart Cities Using Integrated Chain Based Multiclass Support Vector Machine
To improve public services administration, smart cities make use of cutting-edge
technologies, including Big Data, the Internet of Things (IoT), Cloud Computing, and Artificial …
technologies, including Big Data, the Internet of Things (IoT), Cloud Computing, and Artificial …
A systematic approach for IoT cyber-attacks detection in smart cities using machine learning techniques
M Houichi, F Jaidi, A Bouhoula - International Conference on Advanced …, 2021 - Springer
In these last years, the widespread adoption of the Internet of Things (IoT) concept led to the
invention of intelligent cities. Smart cities operate in real time to promote lightness and life …
invention of intelligent cities. Smart cities operate in real time to promote lightness and life …
Cyberattacks detection in iot-based smart city applications using machine learning techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …
Detection of Cyber Attacks using Machine Learning based Intrusion Detection System for IoT Based Smart Cities
The world's dynamics is evolving with artificial intelligence (AI) and the results are smart
products. A smart city has smart city is collection of smart innovations powered with AI and …
products. A smart city has smart city is collection of smart innovations powered with AI and …
[PDF][PDF] An Intrusion Detection System Using a Machine Learning Approach in IOT-based Smart Cities
T Nadu - Journal of Internet Services and Information Security …, 2023 - jisis.org
For a long time, the digitization of all aspects of life in current cultures is seen as a procured
gain. In any way, the computerized world is noticeably flawed and numerous risks and …
gain. In any way, the computerized world is noticeably flawed and numerous risks and …
[HTML][HTML] Multi-tiered Artificial Neural Networks model for intrusion detection in smart homes
In recent years cybersecurity has become a major concern in the adaptation of smart
applications. A secure and trusted mechanism can provide peace of mind for users …
applications. A secure and trusted mechanism can provide peace of mind for users …
ML Techniques for Attack and Anomaly Detection in Internet of Things Networks
Summary The Internet of Things (IoT), is a fundamental driver of smart cities. It is the
champion of the global collaboration of machines/things, people, huge data, and processes …
champion of the global collaboration of machines/things, people, huge data, and processes …
[PDF][PDF] An optimized deep learning based security enhancement and attack detection on IoT using IDS and KH-AES for smart cities
A Duraisamy, M Subramaniam, CRR Robin - Stud Inf Control, 2021 - sic.ici.ro
Today, smart cities are being built with the wide deployment of the Internet of Things (IoT).
Smart cities (SCs) set out in real time to ameliorate the quality of human life in respect of …
Smart cities (SCs) set out in real time to ameliorate the quality of human life in respect of …
Building an intelligent anomaly detection model with ensemble learning for IoT-based smart cities
Abstract Internet of Things (IoT) solutions are enabling smart cities across the planet. A smart
city concept demands the incorporation of communication and information technologies and …
city concept demands the incorporation of communication and information technologies and …
Iot anomaly detection to strengthen cybersecurity in the critical infrastructure of smart cities
This study addresses anomaly detection in smart city environments driven by the Internet of
Things. In these cities, digital interconnection and the extensive network of sensors generate …
Things. In these cities, digital interconnection and the extensive network of sensors generate …