How machine learning changes the nature of cyberattacks on IoT networks: A survey
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …
life in recent years. However, this development does not only present advantages. Indeed …
Machine learning approaches to IoT security: A systematic literature review
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
[HTML][HTML] IoT network security: Threats, risks, and a data-driven defense framework
The recent surge in Internet of Things (IoT) deployment has increased the pace of
integration and extended the reach of the Internet from computers, tablets and phones to a …
integration and extended the reach of the Internet from computers, tablets and phones to a …
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 …
[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review
SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
Deep transfer learning for IoT attack detection
The digital revolution has substantially changed our lives in which Internet-of-Things (IoT)
plays a prominent role. The rapid development of IoT to most corners of life, however, leads …
plays a prominent role. The rapid development of IoT to most corners of life, however, leads …
Internet of things cyber attacks detection using machine learning
J Alsamiri, K Alsubhi - International Journal of Advanced …, 2019 - search.proquest.com
Abstract The Internet of Things (IoT) combines hundreds of millions of devices which are
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …
[HTML][HTML] A deep learning methodology for predicting cybersecurity attacks on the internet of things
OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …
objects intensifies cybersecurity threats. The vast communication traffic data between …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Analysing the role of supervised and unsupervised machine learning in iot
KR Dalal - 2020 international conference on electronics and …, 2020 - ieeexplore.ieee.org
To harness the value of data generated from IoT, there is a crucial requirement of new
mechanisms. Machine learning (ML) is among the most suitable paradigms of computation …
mechanisms. Machine learning (ML) is among the most suitable paradigms of computation …