Market behavior-oriented deep learning-based secure data analysis in smart cities

Q Lv, N Yang, A Slowik, J Lv, A Yousefpour - Computers and Electrical …, 2023 - Elsevier
Abstract The construction of Smart Cities is inseparable from the healthy operation of
markets. Reasonable data analysis can provide a crucial foundation for the development of …

Enhancing Cybersecurity Resilience in Finance with Deep Learning for Advanced Threat Detection

Y Gong, M Zhu, S Huo, Y Xiang, H Yu - arXiv preprint arXiv:2402.09820, 2024 - arxiv.org
In the age of the Internet, people's lives are increasingly dependent on today's network
technology. However, network technology is a double-edged sword, bringing convenience …

GHM-DenseNet intrusion detection method based on GAN

J Ren, Z Sun - 2022 IEEE 4th International Conference on Civil …, 2022 - ieeexplore.ieee.org
With the continuous development of computer and Internet in recent years, the situation of
network security is not optimistic. Solving and maintaining various problems in network …

Finsformer: A Novel Approach to Detecting Financial Attacks Using Transformer and Cluster-Attention

H An, R Ma, Y Yan, T Chen, Y Zhao, P Li, J Li, X Wang… - Applied Sciences, 2024 - mdpi.com
This paper aims to address the increasingly severe security threats in financial systems by
proposing a novel financial attack detection model, Finsformer. This model integrates the …

Enhancing network intrusion detection: a dual-ensemble approach with CTGAN-balanced data and weak classifiers

MRAB Soflaei, A Salehpour, K Samadzamini - The Journal of …, 2024 - Springer
With the expansion of the Internet, Internet of Things devices, and related services, effective
intrusion detection systems are vital in cybersecurity. This study presents a significant …

Block chain fostered cycle‐consistent generative adversarial network framework espoused intrusion detection for protecting IoT network

G Sugitha, A Solairaj, J Suresh - Transactions on Emerging …, 2022 - Wiley Online Library
In smart city infrastructure, IoT networks contain intelligent devices for collecting and
processing data using open channel internet. Some challenges have occurred in the …

Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection

Y Djenouri, AN Belbachir - 2023 IEEE 10th International …, 2023 - ieeexplore.ieee.org
The advent of transformative technologies such as the Internet of Things (IoT) has brought
forth significant advancements in various sectors like smart cities, fintech, learning, and …

Generating Synthetic Dataset for ML-Based IDS Using CTGAN and Feature Selection to Protect Smart IoT Environments

S Alabdulwahab, YT Kim, A Seo, Y Son - Applied Sciences, 2023 - mdpi.com
Networks within the Internet of Things (IoT) have some of the most targeted devices due to
their lightweight design and the sensitive data exchanged through smart city networks. One …

Financial cybercrime: A comprehensive survey of deep learning approaches to tackle the evolving financial crime landscape

J Nicholls, A Kuppa, NA Le-Khac - Ieee Access, 2021 - ieeexplore.ieee.org
Machine Learning and Deep Learning methods are widely adopted across financial
domains to support trading activities, mobile banking, payments, and making customer credit …

Feature-Attended Federated LSTM for Anomaly Detection in the Financial Internet of Things

Y Li, R Zhang, P Zhao, Y Wei - Applied Sciences, 2024 - mdpi.com
Recent years have witnessed the fast development of the Financial Internet of Things (FIoT),
which integrates the Internet of Things (IoT) into financial activities. At the same time, the …