• A Blockchain-Based Risk and Information System Control Framework 

      Ma, Shenglan; Wang, Hao; Dai, Hong-Ning; Cheng, Shuhan; Yi, Ruihua; Wang, Tongsen (Chapter; Conference object, 2018)
      Risk and Information System Control Framework in business includes the methods and processes to manage risks and seize opportunities which involve identifying particular risk events relevant to the objectives, assessing ...
    • A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack 

      Li, Xuran; Wang, Qiu; Dai, Hong-Ning; Wang, Hao (Journal article; Peer reviewed, 2018)
      Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network. ...
    • 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 ...
    • A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China 

      Wang, Qingyong; Dai, Hong-Ning; Wang, Hao (Journal article; Peer reviewed, 2017)
      Air pollution has become one of the key environmental concerns in the urban sustainable development. It is important to evaluate the impact of air pollution on socioeconomic development since it is the prerequisite to ...
    • An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things 

      Li, Xuran; Wang, Hao; Dai, Hong-Ning; Wang, Yuanyuan; Zhao, Qinglin (Journal article; Peer reviewed, 2016)
      The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers ...
    • 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 ...
    • Connectivity of underwater cognitive acoustic networks under spectrum constraint 

      Wang, Qiu; Dai, Hong-Ning; Wang, Hao; Wang, Qubeijian (Chapter; Conference object, 2018)
      There is an extensive attention on underwater cognitive acoustic networks (UCANs) since acoustic spectrum becomes deficient owning to the proliferation of human activity in ocean. This paper presents an overview of our ...
    • 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 ...
    • 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 ...
    • Fraud Risk Monitoring System for E-Banking Transactions 

      Guo, Chaonian; Wang, Hao; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2018)
      Fraudulent e-banking transactions have caused great economic loss every year. Thus, it is important for financial institutions to make the e-banking system more secure, and improve the fraud detection system. Researches ...
    • 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 ...
    • Impact of outcome-based education on software engineering teaching: A case study 

      Dai, Hong-Ning; Wei, Wei; Wang, Hao; Wong, Tak-Lam (Chapter, 2017)
      This paper investigates the impact of outcome- based education (OBE) on students' learning achievement from a software engineering (SE) program. It is not easy to transform an SE curriculum from traditional knowledge-based ...
    • 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 ...
    • Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint 

      Wang, Qiu; Dai, Hong-Ning; Cheang, Chak Fong; Wang, Hao (Journal article; Peer reviewed, 2017)
      Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent ...
    • 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) ...
    • On Capacity and Delay of Multichannel Wireless Networks With Infrastructure Support 

      Dai, Hong-Ning; Wong, Raymond Chi-Wing; Wang, Hao (Journal article; Peer reviewed, 2017)
      In this paper, we propose a novel multi-channel network with infrastructure support, called an MC-IS network,which has not been studied in the literature. To the best of our knowledge, we are the first to study such an ...
    • On Modeling Eavesdropping Attacs in Underwater Acoustic Sensor Networks 

      Wang, Qiu; Dai, Hong-Ning; Li, Xuran; Wang, Hao; Xiao, Hong (Journal article; Peer reviewed, 2016)
      The security and privacy of underwater acoustic sensor networks has received extensive attention recently due to the proliferation of underwater activities. This paper proposes an analytical model to investigate the ...