Efficiency enhancement of intrusion detection in iot based on machine learning through bioinspire
R Samdekar, SM Ghosh… - 2021 Third International …, 2021 - ieeexplore.ieee.org
The Internet of Things of the future will also have a profound technological, business, and
social impact on society. In IoT environments, networking devices are typically resource …
social impact on society. In IoT environments, networking devices are typically resource …
A state of the art survey of machine learning algorithms for IoT security
AF Jahwar, SRM Zeebaree - Asian Journal of …, 2021 - science.scholarsacademic.com
The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to
the Internet. The IoT's diverse application domains, including smart cities, smart homes, and …
the Internet. The IoT's diverse application domains, including smart cities, smart homes, and …
Reinforcement-Learning-based IDS for 6LoWPAN
The Routing Protocol for low power Lossy networks (RPL) is a critical operational
component of low power wireless personal area networks using IPv6 (6LoWPANs). In this …
component of low power wireless personal area networks using IPv6 (6LoWPANs). In this …
An enhanced CoAP scheme using fuzzy logic with adaptive timeout for IoT congestion control
Congestion management in the Internet of Things (IoT) is one of the most challenging tasks
in improving the quality of service (QoS) of a network. This is largely because modern …
in improving the quality of service (QoS) of a network. This is largely because modern …
A deep learning-based penetration testing framework for vulnerability identification in internet of things environments
The Internet of Things (IoT) paradigm has displayed tremendous growth in recent years,
resulting in innovations like Industry 4.0 and smart environments that provide improvements …
resulting in innovations like Industry 4.0 and smart environments that provide improvements …
Vulnerabilities of Internet of Things, for Healthcare Devices and Applications
K Tsantikidou, N Sklavos - 2021 8th NAFOSTED Conference on …, 2021 - ieeexplore.ieee.org
As the Internet of Things (IoT) is progressively integrated into people's life, the security
aspect of Healthcare applications is drastically becoming a major concern for the research …
aspect of Healthcare applications is drastically becoming a major concern for the research …
Adversarial attacks on featureless deep learning malicious urls detection
Abstract Detecting malicious Uniform Resource Locators (URLs) is crucially important to
prevent attackers from committing cybercrimes. Recent researches have investigated the …
prevent attackers from committing cybercrimes. Recent researches have investigated the …
Deep-learning-assisted wireless-powered secure communications with imperfect channel state information
In this article, we consider a practical scenario for secure wireless-powered communication
in the presence of imperfect channel state information (CSI) with simultaneous energy …
in the presence of imperfect channel state information (CSI) with simultaneous energy …
A survey on learning-based intrusion detection systems for IoT networks
Internet of Things (IoT) networks have developed tremendously over the past years. The
main concept behind this technology is to facilitate information exchange between devices …
main concept behind this technology is to facilitate information exchange between devices …