A comprehensive analysis of hybrid machine learning algorithms for securing IoT data

J Jose, JE Judith - AIP Conference Proceedings, 2023 - pubs.aip.org
With a system of various interconnected devices, IoT has revolutionized the application of
different applications. Since IoT deals with heterogeneous devices, it becomes easy for the …

Smart Home Energy Management Using Machine Learning

M Saqib, S Khan - International Journal of Advanced Sciences and …, 2023 - ijasc.com
As the Internet of Things (IoT) continues to expand, traditional Centralized cloud computing
is encountering various difficulties, including prolonged delays, restricted capacity, and the …

Machine learning algorithms to detect deepfakes fine tuned for anomaly detection of IoT

N Sridhar, K Shanmugapriya… - Handbook of Research …, 2023 - igi-global.com
The internet of things (IoT) is a worldwide network of interconnected gadgets that enables
devices to communicate with one another and share data in a continuous manner. Any …

An Advanced Cybersecurity Model for High-Tech Farming Using Machine Learning Approach

P Kuppusamy, A Khang - Agriculture and Aquaculture Applications of …, 2024 - igi-global.com
The need for agricultural and food goods has dramatically expanded due to the rapid
population growth. Agriculture's reliance on older technologies has rendered them …

Smart Cities: Transforming Urban Living with IoT

J Niveditha, DRK Raja… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is being used by smart cities to harness the power of the IoT and
build more efficient and sustainable urban settings as they quickly adapt to the challenges of …

Performance Evaluation of Network Intrusion Detection Using Machine Learning

S Gnanasivam, D Tveter, N Dinh - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The development of 5G network and beyond has led to an explosion of data generation. It is
therefore crucial to have an intrusion detection system (IDS) to detect and remove malicious …

Оптимізації резерву обладнання для інтелектуальних автоматизованих систем

V Chubaievskyi, V Lakhno, B Akhmetov… - Електронне …, 2021 - csecurity.kubg.edu.ua
Анотація Запропоновано алгоритми для нейромережевого аналізатора, задіяного у
системі підтримки прийняття рішень (СППР) у ході вибору складу резервного …

[HTML][HTML] Securing cloud-enabled smart cities by detecting intrusion using spark-based stacking ensemble of machine learning algorithms

MR Ghazi, NS Raghava - Electronic Research Archive, 2024 - aimspress.com
With the use of cloud computing, which provides the infrastructure necessary for the efficient
delivery of smart city services to every citizen over the internet, intelligent systems may be …

A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications

VY Anbalagan, S Rajasekaran, TD Rajeeve - New Generation Computing, 2023 - Springer
Problem Smart cities have become the mainstream of urbanization with the advancement of
the internet of things (IoT). Utilizing the Internet, smart devices are permitted by the IoT …

[PDF][PDF] Developing a Framework for Data Communication in a Wireless Network using Machine Learning Technique

SKM Ataelmanan, MAH Ali - International Journal of …, 2021 - pdfs.semanticscholar.org
The emergence of Internet of Things (IoT) has become a huge innovation for utilizing the
enormous power of wireless media. The adaptation of smart devices, with intelligent …