Machine learning for wireless sensor networks security: An overview of challenges and issues

R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

Effective heart disease prediction using hybrid machine learning techniques

S Mohan, C Thirumalai, G Srivastava - IEEE access, 2019 - ieeexplore.ieee.org
Heart disease is one of the most significant causes of mortality in the world today. Prediction
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …

Demystifying IoT security: An exhaustive survey on IoT vulnerabilities and a first empirical look on Internet-scale IoT exploitations

N Neshenko, E Bou-Harb, J Crichigno… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
The security issue impacting the Internet-of-Things (IoT) paradigm has recently attracted
significant attention from the research community. To this end, several surveys were put …

A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …

Network traffic classifier with convolutional and recurrent neural networks for Internet of Things

M Lopez-Martin, B Carro, A Sanchez-Esguevillas… - IEEE …, 2017 - ieeexplore.ieee.org
A network traffic classifier (NTC) is an important part of current network monitoring systems,
being its task to infer the network service that is currently used by a communication flow (eg …

The rise of traffic classification in IoT networks: A survey

H Tahaei, F Afifi, A Asemi, F Zaki, NB Anuar - Journal of Network and …, 2020 - Elsevier
With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

When machine learning meets privacy in 6G: A survey

Y Sun, J Liu, J Wang, Y Cao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

Role of machine learning and deep learning in securing 5G-driven industrial IoT applications

P Sharma, S Jain, S Gupta, V Chamola - Ad Hoc Networks, 2021 - Elsevier
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …