[HTML][HTML] Review of ML and AutoML solutions to forecast time-series data
A Alsharef, K Aggarwal, Sonia, M Kumar… - … Methods in Engineering, 2022 - Springer
Time-series forecasting is a significant discipline of data modeling where past observations
of the same variable are analyzed to predict the future values of the time series. Its …
of the same variable are analyzed to predict the future values of the time series. Its …
[HTML][HTML] Deep learning-based diagnosis of Alzheimer's disease
Alzheimer's disease (AD), the most familiar type of dementia, is a severe concern in modern
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
Gtxchain: A secure iot smart blockchain architecture based on graph neural network
With the expansion of scale, the Internet of Things (IoT) suffers more and more security
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …
An SDN perspective IoT-Fog security: A survey
The utilization of the Internet of Things (IoT) has burst in recent years. Fog computing is a
notion that solves cloud computing's limitations by offering low latency to IoT network user …
notion that solves cloud computing's limitations by offering low latency to IoT network user …
[HTML][HTML] Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system
With confusion and uncertainty ruling the world, 2020 created near-perfect conditions for
cybercriminals. As businesses virtually eliminated in-person experiences, the COVID-19 …
cybercriminals. As businesses virtually eliminated in-person experiences, the COVID-19 …
Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Abstract Currently, the Internet of Things is spreading in all areas that apply computing
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
[HTML][HTML] Deep learning for the internet of things: Potential benefits and use-cases
TJ Saleem, MA Chishti - Digital Communications and Networks, 2021 - Elsevier
The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …
A generic and lightweight security mechanism for detecting malicious behavior in the uncertain Internet of Things using fuzzy logic-and fog-based approach
SR Zahra, MA Chishti - Neural Computing and Applications, 2022 - Springer
Inspired by the massive surge of interest in the Internet of Things (IoT), this work focuses on
the kinetics of its security. By automating everything, starting from baby monitors to life …
the kinetics of its security. By automating everything, starting from baby monitors to life …
An efficient intrusion detection system for MQTT-IoT using enhanced chaotic salp swarm algorithm and LightGBM
C Prajisha, AR Vasudevan - International Journal of Information Security, 2022 - Springer
Abstract Internet of Things (IoT) networks are becoming increasingly popular for monitoring
critical environments of various types. For the communication of IoT devices, several …
critical environments of various types. For the communication of IoT devices, several …
[HTML][HTML] Towards scalable and efficient architecture for modeling trust in iot environments
The Internet of Services (IoS) is gaining ground where cloud environments are utilized to
create, subscribe, publish, and share services. The fast and significant evolution of IoS is …
create, subscribe, publish, and share services. The fast and significant evolution of IoS is …