Machine learning techniques for spam detection in email and IoT platforms: analysis and research challenges

N Ahmed, R Amin, H Aldabbas… - Security and …, 2022 - Wiley Online Library
Nowaday, emails are used in almost every field, from business to education. Emails have
two subcategories, ie, ham and spam. Email spam, also called junk emails or unwanted …

A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

M Macas, C Wu, W Fuertes - Computer Networks, 2022 - Elsevier
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

[HTML][HTML] New York City taxi trip duration prediction using MLP and XGBoost

M Poongodi, M Malviya, C Kumar, M Hamdi… - International Journal of …, 2022 - Springer
Abstract New York City taxi rides form the core of the traffic in the city of New York. The many
rides taken every day by New Yorkers in the busy city can give us a great idea of traffic …

Secure artificial intelligence of things for implicit group recommendations

K Yu, Z Guo, Y Shen, W Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for
many social computing applications, such as group recommender systems. As the distances …

Towards secure and privacy-preserving data sharing for COVID-19 medical records: A blockchain-empowered approach

L Tan, K Yu, N Shi, C Yang, W Wei… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
COVID-19 is currently a major global public health challenge. In the battle against the
outbreak of COVID-19, how to manage and share the COVID-19 Electric Medical Records …

[HTML][HTML] Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …

Mixed graph neural network-based fake news detection for sustainable vehicular social networks

Z Guo, K Yu, A Jolfaei, G Li, F Ding… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of the Internet of Vehicles has substantially boosted the prevalence
of vehicular social networks (VSN). However, content security has gradually been a latent …

Efficient and privacy-preserving medical research support platform against COVID-19: a blockchain-based approach

K Yu, L Tan, X Shang, J Huang… - IEEE consumer …, 2020 - ieeexplore.ieee.org
COVID-19 is a major global public health challenge and difficult to control in a short time
completely. To prevent the COVID-19 epidemic from continuing to worsen, global scientific …

Deep learning-embedded social internet of things for ambiguity-aware social recommendations

Z Guo, K Yu, Y Li, G Srivastava… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
With the increasing demand of users for personalized social services, social
recommendation (SR) has been an important concern in academia. However, current …

Deep graph neural network-based spammer detection under the perspective of heterogeneous cyberspace

Z Guo, L Tang, T Guo, K Yu, M Alazab… - Future generation …, 2021 - Elsevier
Due to the severe threat to cyberspace security, detection of online spammers has been a
universal concern of academia. Nowadays, prevailing literature of this field almost leveraged …