Browsing Institutt for datateknologi og informatikk by Author "Dai, Hong-Ning"
Now showing items 1-20 of 27
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A Rhombic Dodecahedron Topology for Human-Centric Banking Big Data
Wang, Hao; Ma, Shenglan; Dai, Hong-Ning (Journal article; Peer reviewed, 2019)Banks are collecting an unprecedentedly large amount of data about their customers from difference sources, considering their cyber, physical, social activities. The focus of this paper is to study the problem of information ... -
Augmented Data Selector to Initiate Text-Based CAPTCHA Attack
Che, Aolin; Liu, Yalin; Xiao, Hong; Wang, Hao; Zhang, Ke; Dai, Hong-Ning (Peer reviewed; Journal article, 2021)In the past decades, due to the low design cost and easy maintenance, text-based CAPTCHAs have been extensively used in constructing security mechanisms for user authentications. With the recent advances in machine/deep ... -
Big Data Analytics for Large-Scale Wireless Networks: Challenges and Opportunities
Dai, Hong-Ning; Wong, Raymond Chi-Wing; Wang, Hao; zheng, zibin; Vasilakos, Athanasios (Journal article; Peer reviewed, 2019)The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large-scale wireless networks. Big data of large-scale wireless networks has the key features ... -
Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
Dai, Hong-Ning; Wang, Hao; Xu, Guangquan; Wan, Jiafu; Imran, Muhammad (Journal article; Peer reviewed, 2019)Data analytics in massive manufacturing data can extract huge business values while can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data. ... -
Blockchain-based data privacy management with Nudge theory in open banking
Wang, Hao; Ma, Shenglan; Dai, Hong-Ning; Imran, Muhammad; Wang, Tongsen (Journal article; Peer reviewed, 2019)Open banking brings both opportunities and challenges to banks all over the world especially in data management. A blockchain as a continuously growing list of records managed by a peer-to-peer network is widely used in ... -
Blockchain-Based Power Energy Trading Management
Wang, Hao; Ma, Shenglan; Guo, Chaonian; Wu, Yulei; Dai, Hong-Ning; Wu, Di (Peer reviewed; Journal article, 2021)Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ... -
Blockchain-Based Privacy Preservation for 5G-Enabled Drone Communications
Wu, Yulei; Dai, Hong-Ning; Wang, Hao; Choo, Kim-Kwang Raymond (Peer reviewed; Journal article, 2021)5G-enabled drones have potential applications in a variety of both military and civilian settings (e.g., monitoring and tracking of individuals in demonstrations and/or enforcing of social/ physical distancing during ... -
Blockchain-Empowered Edge Intelligence for Internet of Medical Things Against COVID-19
Dai, Hong-Ning; Wu, Yulei; Wang, Hao; Imran, Muhammad; Haider, Noman (Journal article; Peer reviewed, 2021)We have witnessed an unprecedented public health crisis caused by the new coronavirus disease (COVID-19), which has severely affected medical institutions, our common lives, and social-economic activities. This crisis also ... -
Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net
Yuan, Zhaolin; Li, Xiaorui; Wu, Di; Ban, Xiaojuan; Wu, Nai-Qi; Dai, Hong-Ning; Wang, Hao (Peer reviewed; Journal article, 2022) -
Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0
Wu, Yulei; Dai, Hong-Ning; Wang, Hao (Journal article; Peer reviewed, 2020)Critical infrastructure systems are vital to underpin the functioning of a society and economy. Due to ever-increasing number of Internet-connected Internet-of-Things (IoTs) / Industrial IoT (IIoT), and high volume of data ... -
Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks
Wu, Yulei; Ma, Yuxiang; Dai, Hong-Ning; Wang, Hao (Peer reviewed; Journal article, 2021)5G heterogeneous networks have become a promising platform to connect a growing number of Internet-of-Things (IoT) devices and accommodate a wide variety of vertical services. IoT has not been limited to traditional sensing ... -
Evolutionary community discovery in dynamic social networks via resistance distance
Li, Weimin; Zhu, Heng; Li, Shaohua; Wang, Hao; Dai, Hong-Ning; Wang, Can; Jin, Qun (Peer reviewed; Journal article, 2021)Traditional social community discovery methods concentrate mainly on static social networks, but the analysis of dynamic networks is a prerequisite for real-time and personalized social services. Through the study of ... -
Exploring Self-attention Mechanism of Deep Learning in Cloud Intrusion Detection
Lu, Chenmao; Dai, Hong-Ning; Zhou, Junhao; Wang, Hao (Chapter, 2021)Cloud computing offers elastic and ubiquitous computing services, thereby receiving extensive attention recently. However, cloud servers have also become the targets of malicious attacks or hackers due to the centralization ... -
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
Zhang, Zhuorui; Dai, Hong-Ning; Zhou, Junhao; Mondal, Subrota Kumar; García, Miguel Martínez; Wang, Hao (Peer reviewed; Journal article, 2021)After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment systems, the cryptocurrency market has rapidly gained popularity. Consequently, the volatility of the various cryptocurrency prices ... -
Fused 3-Stage Image Segmentation for Pleural Effusion Cell Clusters
Ma, Sike; Zhao, Meng; Wang, Hao; Shi, Fan; Sun, Xuguo; Chen, Shengyong; Dai, Hong-Ning (Chapter, 2021)The appearance of tumor cell clusters in pleural effusion is usually a vital sign of cancer metastasis. Segmentation, as an indispensable basis, is of crucial importance for diagnosing, chemical treatment, and prognosis ... -
Gold Price Forecast Based on LSTM-CNN Model
He, Zhanhong; Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Chapter, 2019)An accurate prediction is certainly significant in financial data analysis. Investors have used a series of econometric techniques on pricing, stock selection and risk management but few of them have found great success ... -
Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems
Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Peer reviewed; Journal article, 2019)Cloud computing extends Transportation Cyber-Physical Systems (T-CPS) with provision of enhanced computing and storage capability via offloading computing tasks to remote cloud servers. However, cloud computing cannot ... -
MHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Banking
Ma, Shenglan; Yang, Lingling; Wang, Hao; Xiao, Hong; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2019)Text detection in natural scene images becomes highly demanded for unstructured data in banking. In this paper, we propose a new deep learning algorithm called MSER, Hu-moment and Deep learning for Text detection (MHDT) ... -
Portable Convolution Neural Networks for Traffic Sign Recognition in Intelligent Transportation Systems
Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Chapter; Peer reviewed, 2019)Deep convolutional neural networks (CNN) have the strength in traffic-sign classification in terms of high accuracy. However, CNN models usually contains multiple layers with a large number of parameters consequently ... -
Precious Metal Price Prediction based on Deep Regularization Self-Attention Regression
Zhou, Junhao; He, Zhanhong; Song, Ya Nan; Wang, Hao; Yang, Xiaoping; Lian, Wenjuan; Dai, Hong-Ning (Journal article; Peer reviewed, 2020)It is non-trivial to predict the prices of precious metals since a number of factors can affect the fluctuations of precious metal prices. Either parametric models or machine learning models cannot accurately forecast the ...