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 …
Intrusion detection framework for the internet of things using a dense random neural network
The Internet of Things (IoT) devices, networks, and applications have become an integral
part of modern societies. Despite their social, economic, and industrial benefits, these …
part of modern societies. Despite their social, economic, and industrial benefits, these …
Research Perspectives: An Encompassing Framework for Conceptualizing Space in Information Systems: Philosophical Perspectives, Themes, and Concepts
The conceptualization of space is integral to many of the diverse forms of information
systems—for example, the physical space represented in geographical information systems …
systems—for example, the physical space represented in geographical information systems …
Smart home gateway based on integration of deep reinforcement learning and blockchain framework
The development of information and communication technology in terms of sensor
technologies cause the Internet of Things (IoT) step toward smart homes for prevalent …
technologies cause the Internet of Things (IoT) step toward smart homes for prevalent …
An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach
M Osman, J He, N Zhu, FMM Mokbal - Ad Hoc Networks, 2024 - Elsevier
The rapid proliferation of Internet of Things (IoT) devices has raised critical concerns
regarding the security of corresponding IoT networks. The Routing Protocol for Low-Power …
regarding the security of corresponding IoT networks. The Routing Protocol for Low-Power …
Catboosting approach for anomaly detection in iot-based smart home environment
With the advances in technology, IoT devices have become an integral part of our daily lives
due to their rapid expansion and deployment. As the IoT devices communicate continuously …
due to their rapid expansion and deployment. As the IoT devices communicate continuously …
Evaluation of Smart Home Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness & Sustainability
L Geng, X Xiong, Z Liu, Y Wei, Z Lan… - … on Universal Village …, 2022 - ieeexplore.ieee.org
At present, smart Homes are receiving more attention as they are becoming the predominant
space that houses people's activities. Even though intelligent home appliances are capable …
space that houses people's activities. Even though intelligent home appliances are capable …
Deep learning-driven intrusion detection systems for smart cities-a systematic study
R Chinnasamy, S Malliga… - 6th Smart Cities …, 2022 - ieeexplore.ieee.org
The technological advancement in internet and communication systems of a smart city
makes the cyber security a big gainsay. Eventually, securing the smart city objects is of …
makes the cyber security a big gainsay. Eventually, securing the smart city objects is of …
Machine learning-based anomaly detection for smart home networks under adversarial attack
As smart home networks become more widespread and complex, they are capable of
providing users with a wide range of applications and services. At the same time, the …
providing users with a wide range of applications and services. At the same time, the …
[PDF][PDF] NETWORK BASED ANOMALY DETECTION USING EFFICIENT MACHINE LEARNING ALGORITHM
VS Stency, N Mohanasundaram - mercycollege.edu.in
Network-based intrusion detection systems (NIDS) monitor and record information about
incoming and outgoing internet traffic to identify potential security risks and compromises …
incoming and outgoing internet traffic to identify potential security risks and compromises …