[HTML][HTML] Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …
healthcare and transportation to home automation and industrial control systems. However …
A deep learning approach for robust, multi-oriented, and curved text detection
R Ranjbarzadeh, S Jafarzadeh Ghoushchi, S Anari… - Cognitive …, 2022 - Springer
Automatic text localization and segmentation in a normal environment with vertical or curved
texts are core elements of numerous tasks comprising the identification of vehicles and self …
texts are core elements of numerous tasks comprising the identification of vehicles and self …
Machine learning and deep learning methods for intrusion detection systems in iomt: A survey
The integration of healthcare-related sensors and devices into IoT has resulted in the
evolution of the IoMT (Internet of Medical Things). IoMT that can be viewed as an …
evolution of the IoMT (Internet of Medical Things). IoMT that can be viewed as an …
DeepAK-IoT: An effective deep learning model for cyberattack detection in IoT networks
W Ding, M Abdel-Basset, R Mohamed - Information Sciences, 2023 - Elsevier
Our daily lives have been profoundly changed over the past few years owing to the growing
presence of the Internet of Things (IoT). Importantly, IoT makes our lives more convenient …
presence of the Internet of Things (IoT). Importantly, IoT makes our lives more convenient …
[HTML][HTML] Refined LSTM based intrusion detection for denial-of-service attack in Internet of Things
KO Adefemi Alimi, K Ouahada… - Journal of sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) is a promising technology that allows numerous devices to be
connected for ease of communication. The heterogeneity and ubiquity of the various …
connected for ease of communication. The heterogeneity and ubiquity of the various …
[HTML][HTML] EIDM: Deep learning model for IoT intrusion detection systems
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …
Machine and deep learning approaches for IoT attack classification
In recent years, Internet of Things (IoT) traffic has increased dramatically and is expected to
grow further in the next future. Because of their vulnerabilities, IoT devices are often the …
grow further in the next future. Because of their vulnerabilities, IoT devices are often the …
Deep Q network–driven task offloading for efficient multimedia data analysis in edge computing–assisted IoV
With the prosperity of Industry 4.0, numerous emerging industries continue to gain popularity
and their market scales are expanding ceaselessly. The Internet of Vehicles (IoV), one of the …
and their market scales are expanding ceaselessly. The Internet of Vehicles (IoV), one of the …
A hybrid deep learning approach for bottleneck detection in IoT
Cloud computing is perhaps the most enticing innovation in the present figuring situation. It
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
gives an expense-effective arrangement by diminishing the enormous forthright expense of …