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Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
Big data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the internet of robotic …
The objective of this systematic review was to analyze the recently published literature on
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …
IoT in smart cities: A survey of technologies, practices and challenges
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
Deep learning in security of internet of things
Y Li, Y Zuo, H Song, Z Lv - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social
development. All walks of life have begun to implement the IoT integration technology, so as …
development. All walks of life have begun to implement the IoT integration technology, so as …
Intrusion detection in the iot under data and concept drifts: Online deep learning approach
OA Wahab - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Although the existing machine learning-based intrusion detection systems in the Internet of
Things (IoT) usually perform well in static environments, they struggle to preserve their …
Things (IoT) usually perform well in static environments, they struggle to preserve their …
Deep learning algorithms for cybersecurity applications: A technological and status review
P Dixit, S Silakari - Computer Science Review, 2021 - Elsevier
Cybersecurity mainly prevents the hardware, software, and data present in the system that
has an active internet connection from external attacks. Organizations mainly deploy …
has an active internet connection from external attacks. Organizations mainly deploy …
As-ids: Anomaly and signature based ids for the internet of things
Abstract The Internet of Things (IoT) is a massively extensive environment that can manage
many diverse applications. Security is critical due to potential malicious threats and the …
many diverse applications. Security is critical due to potential malicious threats and the …
Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm
Nowadays, the growth and pervasiveness of Internet of Things (IoT) devices have led to
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …