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A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …
proliferation in many areas such as wearable devices, smart sensors and home appliances …
A comprehensive review on secure routing in internet of things: Mitigation methods and trust-based approaches
Internet of Things (IoT) is a network of “things,” connected via Internet, to collect and
exchange data. These “things” can be sensors, actuators, smartphones, wearables …
exchange data. These “things” can be sensors, actuators, smartphones, wearables …
A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
Physics-informed machine learning for data anomaly detection, classification, localization, and mitigation: A review, challenges, and path forward
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …
Man-in-the-middle attack mitigation in internet of medical things
The Internet of Medical Things are susceptible to Man-in-the-Middle (MitM) attack, which can
identify healthcare emergency of monitored patients and replay normal physiological data to …
identify healthcare emergency of monitored patients and replay normal physiological data to …
A two-level flow-based anomalous activity detection system for IoT networks
The significant increase of the Internet of Things (IoT) devices in smart homes and other
smart infrastructure, and the recent attacks on these IoT devices, are motivating factors to …
smart infrastructure, and the recent attacks on these IoT devices, are motivating factors to …
Anomaly-based intrusion detection approach for IoT networks using machine learning
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
[HTML][HTML] An anomaly mitigation framework for iot using fog computing
The advancement in IoT has prompted its application in areas such as smart homes, smart
cities, etc., and this has aided its exponential growth. However, alongside this development …
cities, etc., and this has aided its exponential growth. However, alongside this development …
CMTSNN: A deep learning model for multiclassification of abnormal and encrypted traffic of internet of things
S Zhu, X Xu, H Gao, F **ao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the increasing types and number of Internet of Things (IoT) devices and malicious
programs and the popularization of encryption technology in the communication process …
programs and the popularization of encryption technology in the communication process …
Intrusion detection based on machine learning in the internet of things, attacks and counter measures
E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …