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[HTML][HTML] Machine learning for wireless sensor networks security: An overview of challenges and issues
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 …
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
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 …
aspect of our daily lives by advancing human life with its unaccountable smart services …
Effective heart disease prediction using hybrid machine learning techniques
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 …
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
A survey of machine and deep learning methods for internet of things (IoT) security
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 develo** fields in …
one another with minimal human intervention. IoT is one of the fastest develo** fields in …
Demystifying IoT security: An exhaustive survey on IoT vulnerabilities and a first empirical look on Internet-scale IoT exploitations
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 …
significant attention from the research community. To this end, several surveys were put …
Cyber security for detecting distributed denial of service attacks in agriculture 4.0: Deep learning model
THH Aldhyani, H Alkahtani - Mathematics, 2023 - mdpi.com
Attackers are increasingly targeting Internet of Things (IoT) networks, which connect
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …
Network traffic classifier with convolutional and recurrent neural networks for Internet of Things
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 …
being its task to infer the network service that is currently used by a communication flow (eg …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Botnet attack detection by using CNN‐LSTM model for Internet of things applications
H Alkahtani, THH Aldhyani - Security and Communication …, 2021 - Wiley Online Library
The Internet of Things (IoT) has grown rapidly, and nowadays, it is exploited by cyber attacks
on IoT devices. An accurate system to identify malicious attacks on the IoT environment has …
on IoT devices. An accurate system to identify malicious attacks on the IoT environment has …
The rise of traffic classification in IoT networks: A survey
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 …
various objects have become a prevalent practice. The huge growth of IoT devices and …