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检索条件"任意字段=3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006"

共 396 条记录，以下是121-130 订阅

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Research on Employee Innovative Behavior Feedback System Based on Web-based ID3 Algorithm

Research on Employee Innovative Behavior Feedback System Bas...

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Data Analytics, computing and Artificial Intelligence (ICDACAI), international conference on

作者： Hongchi Luo School of Management Shanghai University Shanghai China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

In the internet era, the rapid development of technology has had a profound impact on the development of enterprises. With the rapid changes in the global economy, enterprises are faced with the serious challenges brought about by the uncertainty of market structure and demand. In this case, the innovative behaviour of employees has become a key factor to promote the development of enterprises, which is an important part of their innovative capacity. The study used the questionnaire star platform and offline distribution of questionnaires for enterprise employees with different gender, age, nature of the enterprise, job level and other attributes, and successfully distributed and returned 206 valid questionnaires, using SPSS 27, AMOS 25 and other analytical software to analyse the data for reliability analysis, validity analysis and correlation test, and using machine learning decision tree algorithm -ID3 algorithm to construct the decision tree model. This study can effectively help enterprises to recruit employees, through the comprehensive analysis of the attributes and innovative behaviour of employees, to achieve the accurate identification of employee potential, and then screen out high-quality talents with innovative ability for enterprises.

关键词： Technological innovation Machine learning algorithms Uncertainty Software algorithms Stars Software Software reliability Decision trees Problem-solving Recruitment

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Potential of Vehicular Ad-Hoc Network for use in Developing a Drone-Based Delivery System

Potential of Vehicular Ad-Hoc Network for use in Developing ...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Ramakrishnan Raman Zatin Gupta Rajesh Singh Unnati Joshi Sanjay C. P M. Kalyan Chakravarthi Symbiosis International (Deemed University) Pune Maharashtra India School of Computing Science and Engineering Galgotias University Greater Noida Uttar Pradesh Uttaranchal Institute of Technology Uttaranchal University India Department of PIET Parul University Department of IT Sri Balaji University Pune India School of Electronics Engineering VIT-AP University Amaravathi India

Connectivity between on-the-ground infrastructure and in-flight drones is made possible by ad hoc networks that fly between them. Using aerial items like unmanned aerial vehicles and drones, researchers in this field are looking at how they may best integrate their services and advantages into data-centric internet of Things applications. It is one of the most prominent areas of study in aerial ad hoc networks due to the increasing commercial relevance of drone-centric flying networks. Communication between mobile devices and a central base station is heavily relied upon in the relevant literature. As such, this study presents a distributed routing paradigm for the internet of Things that prioritizes service quality and relies on drone assistance (D-IoT). Probabilistic models of mobility and parameters for aerial drones are developed with a particular emphasis on incredibly dynamic flying ad hoc networks. It’s a whole proactive routing system has been built on these drone-centric models. As a result, a brain interfering system has been used to help people make reliable and fruitful travel plans. The advantages of the proposed unmanned aerial vehicles (UAVs routing approach are confirmed by a thorough measuring performance. Several system evaluation criteria for mobile advertising networks show that D-IoT is superior to region-based approaches.

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Decentralized Cross-Blockchain Asset Transfers 3

Decentralized Cross-Blockchain Asset Transfers

引用

3rd IEEE international conference on Blockchain computing and Applications (BCCA)

作者： Sigwart, Marten Frauenthaler, Philipp Spanring, Christof Sober, Michael Schulte, Stefan TU Wien Distributed Syst Grp Vienna Austria Pantos GmbH Vienna Austria TU Hamburg Christian Doppler Lab Blockchain Technol Internet Hamburg Germany

ISBN: (纸本)9781665421829

Today, several solutions for cross-blockchain asset transfers exist. However, these solutions are either tailored to specific assets or neglect finality guarantees that prevent assets from getting lost in transit. In this paper, we present a cross-blockchain asset transfer protocol that supports arbitrary assets and adheres to finality requirements. The ability to freely transfer assets between blockchains may increase transaction throughput and provide developers with more flexibility by allowing them to design digital assets that leverage the capacities and capabilities of multiple blockchains.

关键词： blockchain interoperability decentralized asset transfers cross-blockchain communication digital assets

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Assessing Patterns of Cybercrimes Associated with Online Transactions in Namibia Banking Institutions' Cyberspace 3

Assessing Patterns of Cybercrimes Associated with Online Tra...

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3rd international Multidisciplinary Information technology and Engineering conference, IMITEC 2021

作者： Nawa, Eva-Lisa Chitauro, Mercy Shava, Fungai Bhunu Namibia University of Science and Technology Faculty of Computing and Informatics Windhoek Namibia

ISBN: (纸本)9781665417495

Advances in technology have provided substantial benefits and innovations to the world in massive ways such as ecommerce, timely business processing, connectivity, easy access to information and fast communication. Such benefits and innovations have been adopted in the banking sector, for example, mobile banking, credit cards, internet banking as well as agency banking. Although information technology has provided substantial benefits mentioned above it, however, comes with disadvantages such as information security breaches and unsecure Information and Communication technology environments. As a result, end-users are now connected to the internet, and this has resulted in several internet users becoming victims of cybercriminals. This study aimed at evaluating patterns of cybercrimes associated with online transactions in the Namibian banking institutions' cyberspace and proposes mitigation strategies. To do that, the researcher interviewed six Namibian banking institutions to understand cybersecurity issues, trends and existing solutions. The study found that cybercrimes such as phishing, social engineering, vishing, smishing, spear phishing, spoofing and website compromise, distributed denial-of-service (DDos) are rampant. This is worsened by the fact that Namibia does not have a local cybersecurity framework to guide local banks in curbing these crimes. © 2021 IEEE.

关键词： Denial-of-service attack

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An innovative Federated Learning paradigm for safeguarding privacy in IoT through a synergistic SDN-CLOUD Structure

An innovative Federated Learning paradigm for safeguarding p...

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Embedded Systems and Artificial Intelligence (ESAI), international conference on

作者： Harchi Anas Hicham Toumi Mohamed Talea Information Processing Laboratory Faculty of Sciences Ben M’sik University Hassan II Casablanca Morocco Higher School of Technology-Sidi Bennour Chouaïb Doukkali University El Jadida Morocco

ISBN: (数字)9798331522056

ISBN: (纸本)9798331522063

As global society increasingly transitions towards a comprehensive dependence on computational systems and digitization, the formulation of secure environments and connections emerges as one of the foremost challenges of this decade. The proliferation of threats confronting both individuals and organizations is escalating at an exponential rate, attributable to the burgeoning intricacy of contemporary networks and the ascendance of the internet of Things. Insufficient collaboration engenders a scenario wherein identical attacks are executed against disparate organizations in rapid succession. The dissemination of cyber threat intelligence is frequently proposed as a remedy to this predicament; however, it introduces distinct constraints pertaining to Data Safeguarding, traceability, and Integrity. To address this issue, a novel distributed architecture is put forth to augment the protective measures within the IoT landscape. This solution is predicated on federated learning algorithms aimed at constructing a distributed, self-governing system able to Identify intrusion and breaches through a synergistic SDNCloud Structure. This structural paradigm leverages the potential of SDN and cloud computing for IoT endpoints to enable effective and adaptable data analysis while concurrently maintaining user confidentiality. The adoption of federated learning simplifies a non-centralized model learning workflow, reducing data exposure and infringements by keeping private information confined to the IoT endpoints. Consequently, this methodology not only bolsters security but also promotes interdevice cooperation to confront the challenges in an exponentially interconnected.

关键词： Cloud computing Privacy Embedded systems Data analysis Federated learning Intrusion detection Organizations Data models Security internet of Things

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FedSimRep: A Federated Learning Method Based on Data Representation Selection 25

FedSimRep: A Federated Learning Method Based on Data Represe...

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Proceedings of the 2025 3rd international conference on Communication Networks and Machine Learning

作者： Falu Zhai Lu Wu Chunxiao Wang Tongyang Hao Shucang Zang Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan Shandong China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan Shandong China

ISBN: (纸本)9798400713231

As an emerging distributed technology, Federated learning enables model training while protecting privacy without sharing local data. However, the heterogeneity of geographic locations and devices leads to response delays from stragglers. Client grouping in federated learning can tolerate stragglers from a global perspective, but differences in data distribution within groups may result in local performance bias. To address this issue, we propose a federated learning method called FedSimRep, which selects representative clients based on data distribution similarity. FedSimRep performs group training by collecting readiness signals from topological communications and maintains synchronization tables and graphs to track training progress. Additionally, it selects representative clients by leveraging the relationship between local optimization similarity and data distribution similarity to optimize the global model. Experiments and theoretical analyses on public datasets such as MNIST, CIFAR-10, and UEU-Fed demonstrate that FedSimRep achieves significant advantages in terms of accuracy and efficiency.

关键词： Client Grouping

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Blockchain and Quantum Cryptography-Based Hybrid Security for Healthcare 5.0 Systems

Blockchain and Quantum Cryptography-Based Hybrid Security fo...

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computing, Communication, Perception and Quantum technology (CCPQT), international conference on

作者： Nishit Agarwal Phanindra Kumar Kankanampati Shyamakrishna Siddharth Chamarthy Imran Khan Arpit Jain Muntather Almusawi Northeastern University Jersey City NJ USA Binghamton University Richmond Tx USA Columbia University New York Brooklyn NY USA Visvesvaraya Technological University India Department of Computer Science and Engineering Vadeshawaram A.P. India The Islamic University Najaf Iraq

ISBN: (数字)9798331528386

ISBN: (纸本)9798331528393

Healthcare systems can be simplified and enhanced by integrating digital databases and insurance agencies. However, as healthcare data increasingly travels over the internet, concerns around security and privacy-such as data breaches and unauthorized data modifications-become more pressing. The General Data Protection Regulation (GDPR) highlights the importance of secure data management in building trust in the protection of individuals' personal information. Blockchain technology presents an opportunity to make healthcare systems more efficient, secure, and private. This paper examines current security architectures designed to protect electronic health records (EHRs) and proposes the addition of Quantum Cryptography (QC) to reinforce traditional encryption methods. We explore blockchain-based healthcare architectures that integrate role-based access controls and quantum blind signatures within Hyperledger Fabric blockchains. Our findings demonstrate that the proposed framework outperforms existing systems in transaction handling, resource efficiency, and network traffic management while also enhancing scalability and reducing latency.

关键词： distributed ledger Scalability Medical services Telecommunication traffic Computer architecture Throughput Fabrics Blockchains Time factors General Data Protection Regulation

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An Investigation of Block Chains for Attaining Sustainable Society

An Investigation of Block Chains for Attaining Sustainable S...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： K. K. Ramachandran Fit Lt Renu Lamba Ruchira Rawat Anita Gehlot Adusupalle Muni Raju R. Ponnusamy Management/Commerce/International Business DR G R D College of Science India Department of Management Studies Graphic Era Deemed to be University Dehradun Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Uttaranchal Institute of Technology Uttaranchal University India Department of Marketing Sri Balaji University Pune(SBUP) Department of Computer Science & Engineering Chennai Institute of Technology

It's possible to define blockchain technology as the DLT-based technology upon which cryptocurrencies and other distributed ledgers rely. This innovation extends well beyond Bitcoin and other forms of digital money. With its help, a new internet era may dawn in which sensitive information can be sent, stored, and managed without fear of tampering or other forms of corruption. Because of its potential to combat corruption and help the impoverished, among other things, this technology is worth investing in. Any kind of transaction, such as the sale of a home or a stock, may be tracked nearly instantly. Sustainable development is at the heart of today's modern world. technology like this may be useful in the pursuit of sustainability, which involves improving the here and now without jeopardizing the future. To be really useful, though, this innovation requires a robust digital governance structure. The purpose of this article is to investigate Blockchain technology as a tool for promoting long-term, environmentally friendly growth in India, and to identify contexts where it may be particularly useful. How the Indian economy may adopt this technology and incorporate it into its system to achieve Sustainable Development is the topic of my paper. Capital market, accountable production and consumption, environmental protection, providing legal identity for everybody, property registration, and transparent philanthropy are all possible applications of this technology in India. The research methods used in this paper are entirely inductive, with a focus on secondary sources of information.

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What Can My Car Tell Me? Consumer Perceptions of Transparency in Self-Driving Vehicles 3

What Can My Car Tell Me? Consumer Perceptions of Transparenc...

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3rd IEEE international conference on Human-Machine Systems, ICHMS 2022

作者： Huff, Earl W. Tucker, Natalie Grady, Siobahn Day Brinkley, Julian University of Texas at Austin School of Information AustinTX United States North Carolina Central University School of Library and Information Sciences DurhamNC United States Clemson University School of Computing ClemsonSC United States

ISBN: (数字)9781665452380

ISBN: (纸本)9781665452380

Fully autonomous or 'self-driving' vehicles are emerging mobility technology with potential benefits over conventional motor vehicles. Proponents argue that the widespread adoption of autonomous vehicles may save countless lives and millions of dollars annually by minimizing the likelihood of deadly vehicle crashes. However, widespread adoption of automated-driving technologies is required to realize such benefits, which research suggests, may be undermined by consumer concerns about vehicle operation transparency. Further, there is insufficient research into consumer perceptions of an autonomous vehicle's communication and information-sharing behavior, which may impact their likelihood of purchasing one. We conducted a study using a 63-question internet-based survey distributed in the United States to licensed drivers 18 years of age and older (n=996) to examine consumer perceptions of autonomous vehicles across accountability, communication, information sharing, and concerns. Our findings show that consumer perceptions of the four dimensions vary significantly across race, gender, and ability. © 2022 IEEE.

关键词： Autonomous vehicles

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Application and Research of Deep Mining of Health Medical Big Data Based on internet of Things 3

Application and Research of Deep Mining of Health Medical Bi...

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3rd international conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021

作者： Chi, Youshen Human Resources and Social Security Information Center Shandong Yantai264001 China

ISBN: (纸本)9781450385046

Traditional data mining algorithms are mostly difficult to handle large data sets, but need to manage big data and discover hidden knowledge. Therefore, the combination of data mining algorithms and IoT technology is the development trend of data processing in the future, but because of the difficulty, not all algorithms can be implemented on the cloud platform, so the research results are not enough. The core idea of cloud computing is architecture. All data mining algorithm improvement strategies need to be designed according to the characteristics of the architecture, and each part must implement specific functions. It is difficult or impossible to implement an algorithm that cannot be decomposed into the above form in the architecture. With the widespread application of IoT technology, a large number of unstructured, distributed and even data mining requirements in mobile devices pose serious challenges to existing data mining technologies. How to use cloud computing technology to achieve large-scale distributed data collection, transmission and mining has become an important research direction. This paper investigates some health care big data, combines the internet of Things cloud data platform, and introduces the traditional association rules algorithm and its interest level in mining technology. On this basis, the improved algorithm is improved and compared with other traditional algorithms. Establish a simulation platform to implement algorithms and mine training data. It proves that the improved algorithm has lower spatial complexity and faster processing rate in data mining, and analyzes the data mining technology in health medical data. © 2021 ACM.

关键词： internet of things

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