LUFlow: Attack Detection in the Internet of Things Using Machine Learning Approaches
The number of Internet of Things (IoT) equipment and the data those devices produce have
both increased significantly over the past few years. Due to their resource limitations, IoT …
both increased significantly over the past few years. Due to their resource limitations, IoT …
Intelligent detection system for multi-step cyber-attack based on machine learning
KMA Alheeti, A Alzahrani, OH Jasim… - … on Developments in …, 2023 - ieeexplore.ieee.org
Cyber-attacks involve stifling processes and activities, conciliating data, or restricting data
access by carefully modifying computer systems and networks with malware. There has …
access by carefully modifying computer systems and networks with malware. There has …
Developing an integrated framework for securing internet of things traffic in smart cities using machine learning techniques
M Alhanaya, K Al-Shqeerat - Applied Sciences, 2023 - mdpi.com
Internet of Things technology opens the horizon to a broader scope of intelligent
applications in smart cities. However, the massive amount of traffic exchanged among …
applications in smart cities. However, the massive amount of traffic exchanged among …
[图书][B] Intelligent Systems and Applications: Proceedings of the 2023 Intelligent Systems Conference (IntelliSys).
K Arai - 2024 - books.google.com
The book is a unique collection of studies involving intelligent systems and applications of
artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys …
artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys …
A Survey on Security, Privacy, Trust, and Architectural Challenges in IoT Systems
M Adam, M Hammoudeh, R Alrawashdeh… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless
interaction of devices, individuals, and services, enabling data exchange and task execution …
interaction of devices, individuals, and services, enabling data exchange and task execution …
Robot-Based Security Management System for Smart Cities Using Machine Learning Techniques
Recently, smart cities are developing more slowly, gathering plenty of data and
communication skills to improve service worth. Despite the smart city concept offerings many …
communication skills to improve service worth. Despite the smart city concept offerings many …
[PDF][PDF] Design the IoT Botnet Defense Process for Cybersecurity in Smart City.
The smart city comprises various infrastructures, including healthcare, transportation,
manufacturing, and energy. A smart city's Internet of Things (IoT) environment constitutes a …
manufacturing, and energy. A smart city's Internet of Things (IoT) environment constitutes a …
Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning
I Priyadarshini - Big Data and Cognitive Computing, 2024 - mdpi.com
The swift proliferation of the Internet of Things (IoT) devices in smart city infrastructures has
created an urgent demand for robust cybersecurity measures. These devices are …
created an urgent demand for robust cybersecurity measures. These devices are …
Rice phenology monitoring via ensemble classification for an extremely imbalanced multiclass dataset of hybrid remote sensing
This research provides a new approach for monitoring crops, especially rice planting, using
hybrid remote sensing by aligning direct observations via Area Sampling Frame (ASF) …
hybrid remote sensing by aligning direct observations via Area Sampling Frame (ASF) …