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Transforming Industrial Operations with Blockchain: The Healthcare Application Health-Chain 3

Transforming Industrial Operations with Blockchain: The Heal...

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3rd international conference on Advance computing and Innovative technologies in Engineering, ICACITE 2023

作者： Saari, Haziah Amin, MohdRushidi Mohd Saleh Abbas, Mohd Ismail, Albert Feisal Husna Haris Fadzilah, Asmaul Nordin, MohdNorazmi Victoria University of Wellington School of Information Management Wellington School of Business and Government New Zealand INTI International University Penang Malaysia INTI International University Negeri Sembilan Nilai Malaysia University Putra Malaysia School of Business and Economics Selangor Serdang Malaysia University Technical Malaysia Faculty of Technology Management &Technopreneuurship Melaka Malaysia University Malaysia Faculty of Economics and Business Sarawak Malaysia Universiti Kebangsaan Malaysia Faculty of Education Selangor Bangi Malaysia

ISBN: (纸本)9798350399264

Globally, effective application of cloud technology, mobile, social media, analytics, and IoT (Internet of Things), has resulted in new creative products, tight consumer interactions, and enhanced corporate operations. Block-chain technology is reshaping the digital landscape by offering a fresh perspective on efficiency, system security and resilience. Despite its initial popularity as a foundation for digital money, Blockchain is much more than that. It offers a safe way to conduct any form of product or service trade. Growing laws, cybercrime, and fraud are impeding industrial progress even while trusted connections are becoming more and more crucial for growth. To overcome these obstacles, Block-chain will enable more flexible better customer interactions, cloud technology, value chains, quicker product developments, and quicker IoT and integration. Further Block-chain reduces the charge of commerce by providing a reliable bond that is handled devoid of outside interference from parties that might not directly provide value. It is now feasible to create engagements, smart contracts, and agreements with solid cyber-security components built in. In order to show and illustrate the usage of Block-chain technology across numerous industrial applications, this research attempts to build the framework for that. The IBM Block-chain project is used to define and develop the healthcare application Health-chain. The ideas may be used to a variety of trades, including as manufacturing, banking, and government, where scalability, safety, and efficiency are needed. © 2023 IEEE.

关键词： Cybersecurity

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Analysing the Need for 5G Networks based on Smartphone Market Penetration 3

Analysing the Need for 5G Networks based on Smartphone Marke...

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3rd international conference on Intelligent Communication and Computational Techniques, ICCT 2023

作者： Panse, Chetan Chaskar, Aayush Sibm Symbiosis International Deemed University Pune India

ISBN: (纸本)9781665453578

The term '5G' refers to the latest advancements in mobile technology. The next key stage of mobile communications standards after the soon-to-be-implemented 4G standards is 5G. Due to the development of 5G technology, the bulk of high bandwidth users will change how they access their phones. With 5G pushed via a VOIP-equipped smartphone, people would experience a volume of calls and data transfer unlike anything else. [1] The word '5G' relates to the generation of wireless telecommunications, which will change multiple areas of our daily life. Due to emerging mobile technologies like virtual reality applications, HD video consumption, and cloud-based entertainment, mobile users and their usage is expanding very quickly. The rate of increase in demand and the predicted trends of new technologies, such as driverless vehicles and virtual reality, will far exceed the capacity of 4G networks in a few years Consequently, multiple attempts have been made by industry experts and research associations to make 5G networks a reality soon. Academicians and thought leaders have agreed that these new network systems would employ highly exciting, developed technologies like SDN and NFV to realize their objectives. The transmission speed of 5G is a lot greater than that of the present network Data transmission speeds up to 10Gbps, which are 10 to 100 times faster than 4G and 4G- LTE will be available with 5G. To facilitate the development of new services, 5G is anticipated to merge ultra-broadband networks and incorporate new-age technologies like the Internet of Things (IoT), blockchain, big data, artificial intelligence, machine learning and cloud computing. © 2023 IEEE.

关键词： 5G mobile communication systems

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technologies for Hybrid cloud computing in Renewable Energy Associated with the Proposed Algorithm 3rd

Technologies for Hybrid Cloud Computing in Renewable Energy ...

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3rd Biennial international conference on Future Learning Aspects of Mechanical Engineering, FLAME 2022

作者： Kumar, Yogendra Gupta, Hemant Department of Electrical Engineering GLA University Mathura India

ISBN: (纸本)9789819918935

Sharing the information with cloud computing allows many users to easily communicate accumulation, increasing the ability of work in collaborative scenarios and having a wide range of applications. However, maintaining data sharing security inside a group and properly disseminating data that has been leased inside a bunch context are significant to take exception. Keep a close eye on the vital deal. C-cloud enables Internet customers to rent out excess system resources valued millions of dollars. This sort of resource sharing allows resource owners to benefit from unused resources while also giving cloud clients with a more cost-effective option than large cloud providers. Scientific computer applications, especially molecular modeling calculations, were create a wonderful information as well as computer vision methodologies to aid, expedite, and enhance. cloud computing platforms, on the other hand, are gaining popularity in scientific computing because they provide "unlimited" processing power, easier programming and deployment techniques, and access to computer accelerators. Alternative against basic power derived from fossil fuel in the short and medium haul. However, because renewable energy sources are variable in their availability, it’s really challenging to schedule work automatically and effectively within renewable energy constraints and deadlines. This same goal of this research would be to develop a novel scheduling scheme based on neural supervised learning that applies scheduling techniques like work flow displacement as well as fog exploding automatically in a public cloud. Our main goals are to maximize the utilization of renewable energy while avoiding missed deadlines. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

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Secure Management of Healthcare Data in Fog and IoT Networks: A Short Survey on Existing Security Protocols 3

Secure Management of Healthcare Data in Fog and IoT Networks...

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3rd international conference on Smart Electronics and Communication, ICOSEC 2022

作者： Tina Victoria, A. Kowsigan, M. College of Engineering Technology Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Kattankulathur chengalpattu603203 India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

In recent years, multi-media data regarding various applications have emerged exponentially over the Internet of Things (IoT). Generally, these gathered data are fed to the cloud for storage and further processing. The fog layer is incorporated here which acts like a bridge and performs communication between the cloud and IoT devices. This fog-derived IoT network offers services by effectively analyzing and computing information gathered by IoT devices with the help of sensors. Though, it has two major challenges energy and security. Further, fog computing aims to minimize the overhead of cloud computing to provide network services to satisfy secure data transmission. Nowadays, various security protocols have been suggested to overcome the security challenges in the existing fog-driven IoT models. Moreover, among various applications, the healthcare application requires an efficient data management strategy with maximum security, and thus, this paper aims to study the various research works on healthcare data management in Fog and IoT networks with different authentication protocols. The existing research works on Foga-ssisted healthcare data management systems in IoT are categorized for guiding the upcoming researchers in this field. Moreover, this review discusses different authentication protocols, performance metrics analyzed for validation and diverse tools used for implementation. To conclude, the research challenges and gaps in the field of healthcare data management in fog and IoT networks are studied. This analysis further substantiates the requirement for a coherent technique for healthcare applications in fog computing. © 2022 IEEE.

关键词： Internet of things

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Cyber Deception against DDoS attack using Moving Target Defence Framework in SDN IOT-EDGE Networks 3

Cyber Deception against DDoS attack using Moving Target Defe...

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3rd international conference on Next Generation computing applications, NextComp 2022

作者： Galadima, Haula Seeam, Amar Ramsurrun, Visham Middlesex University Flic en Flac School of Digital Technologies Mauritius

ISBN: (数字)9781665469548

ISBN: (纸本)9781665469548

Software Defined Networking (SDN) networking paradigm advancements are advantageous, but they have also brought new security concerns. The Internet of Things (IoT) Edge computing servers provide closer access to cloud services and is also a point of target for availability attacks. The Distributed Denial of Service (DDoS) attacks on SDN IoT-Edge computing caused by botnet of IoT hosts has compromised major services and is still an impending concern due to the Work From Home virtual office shift attributed by Covid19 pandemic. The effectiveness of a Moving Target Defense (MTD) technique based on SDN for combating DDoS attacks in IoT-Edge networks was investigated in this study with a test scenario based on a smart building. An MTD Reactive and Proactive Network Address Shuffling Mechanism was developed, tested, and evaluated with results showing successful defence against UDP, TCP SYN, and LAND DDoS attacks;preventing IoT devices from being botnet compromised due to the short-lived network address;and ensuring reliable system performance. © 2022 IEEE.

关键词： Internet of things

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Smart Irrigation System Using LoRaWAN 3

Smart Irrigation System Using LoRaWAN

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3rd international conference on Next Generation computing applications, NextComp 2022

作者： Patten, Rovishen Mungur, Avinash Universtiy of Mauritius Department of Information and Communication Technologies Reduit Mauritius

ISBN: (数字)9781665469548

ISBN: (纸本)9781665469548

The Internet of Things is now playing a crucial role in almost every field throughout the world. As far as the agricultural sector is concerned, for the future, more food would be needed with the same amount of land and water available. Therefore, there is a need for developing a smart irrigation system so as to cater for a better yield of the crops. Even though a large amount of time was spent on research for an effective smart irrigation system, the majority of them did not focus on the real-life issue which relates to connectivity problems due to agricultural lands being mostly found in rural areas where there is poor internet connection. This paper brings forward a smart irrigation system that makes use of LoRaWAN technologies. With the use of LoRaWAN, this problem is solved as connectivity will no longer be an issue with the smart irrigation system. This system uses a wireless sensor network using solar energy that is fully automated and that can be dispatched to different regions of the agricultural field. Backend management system handles all the incoming messages from the IoT system to integrate the information collected into a cloud database. The farmer will also be able to view his/her real time sensor data and irrigation status using his mobile application. © 2022 IEEE.

关键词： Irrigation

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Research on Visualization Technology of Data Mining Based on rd-SOM (Radar-Self-Organizing Map) Clustering Algorithm

Research on Visualization Technology of Data Mining Based on...

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cloud computing, Big Data applications and Software Engineering (CBASE), international conference on

作者： Bing Ma Dongsheng Li Xiaotan Liu Yiyuan Mai Shasha Qin PLAA Infantry College PLAA Infantry College Shijiaozhuang Hebei China Changsha Hunan China Hainan Hospital of Chinese PLA General Hospital Sanya Hainan China

ISBN: (数字)9798331506582

ISBN: (纸本)9798331506599

With the continuous development of data storage, analysis, processing and other technologies, people are eager to visualize the mining process of complex data, and data mining visualization technology is gradually applied to all fields of society, which greatly improves the efficiency of data mining [1]. The author starts with data visualization technology, studies data preprocessing and algorithms, and proposes data mining visualization technology of rd-SOM clustering algorithm by analyzing the existing problems in the current SOM clustering algorithm, so as to improve the current algorithm and obtain higher data utilization rate.

关键词： cloud computing Software algorithms Data preprocessing Data visualization Clustering algorithms Memory Big Data applications Data mining Software engineering

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Scheduling in cloud of Things: An Overview

Scheduling in Cloud of Things: An Overview

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Emerging Smart technologies and applications (eSmarTA), international conference on

作者： Abdulrahman Mohammed Hussein Obaid Awadh Ali Abdo Mohammed Santosh K. Pani Ayman Alsabry Hamzah Ali Qasem Department of Medical Information Technology 21 September University of medical and applied sciences Sana'a Yemen Department of Bioedical Engineering Technology 21 September University of medical and applied sciences Sana'a Yemen School of Computer Engineering KIIT University Bhubaneswar India Department of Computer Science International University of Technology Twintech Sana'a Yemen International University of Technology Twintech 21 September university of medical and applied sciences sana'a Yemen

computing, Internet, digital devices, smart devices, and other technologies were leading to a new terminology known as cloud of things (CoT). cloud of Things is a powerful technology used to analyze and store massive data from thousands of distributed devices (smartphones, vehicles, home appliances, sensors, etc.). Further, cloud of Things integrated two concepts, Internet of Things and cloud computing. There are many issues in cloud computing that have been widely studied, such as scheduling. On the other hand, a few issues have been studied in cloud of Things. The objective of this paper is to discuss and classify the scheduling issues in cloud of Things. Researchers have developed algorithms for different environments such as heterogeneous/homogeneous clusters, cloud computing, and large-scale community grids. By reviewing and considering many of these articles, we provided an overview for reuse these state-of-the-art algorithms in cloud of Things environments. In addition, this paper provides researchers with ideas and platform for finding open research and exploring cloud of Things issues.

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Blockchain Integrated cloud Architecture for Surveillance Systems

Blockchain Integrated Cloud Architecture for Surveillance Sy...

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Disruptive technologies (ICDT), international conference on

作者： Vinay Kumar Varun Singh Raghuvanshi Shashwat Sharma Yash Yadav Arvind Goutam Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

The speedy growth of data-pushed programs, especially in surveillance and IoT systems, has underscored the need for steady, green, and privateness-retaining records control answers. While cloud computing gives scalability, it poses sizeable safety risks, making it liable to records breaches and unauthorized access. Blockchain technology, with its decentralized and immutable ledger, offers promising answers to these challenges, yet it struggles with scalability and computational demands while implemented to high-frequency, actual-time applications. This research paper proposes an technique to address those limitations through an integration of blockchain generation with cloudprimarily based surveillance systems. Through a hybrid version of selective storage and optimized consensus mechanisms, the proposed solution addresses the demanding situations of latency, scalability, and privacy maintenance at the same time while enhancing real-time access control.

关键词： cloud computing Privacy Surveillance Scalability Smart contracts Real-time systems Safety Maintenance Consensus protocol Disruptive technologies

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Big Data Tools, Deep Learning & 3D Objects in the Metaverse 2

Big Data Tools, Deep Learning & 3D Objects in the Metaverse

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2nd international conference on Digitalization and Management Innovation: Build a New Ecology of Lifelong Education, DMI 2023

作者： Ananthachari, Preethi Schutte, Storm AI & Big Data Dept Endicott College of International Studies Woosong University Korea Republic of

ISBN: (纸本)9781643684529

Metaverse is a virtual space to explore, for those who are not physically available in context. We are in the early stages of the development of the metaverse and it promises a rapid phase shift as well as proliferation in every aspect of technology. The metaverse comprises of eight key technologies, such as Extended Reality, Customer (user) Interactivity, Artificial intelligence, Block Chain Technology, Computer Vision, Internet of Things, Robotics, Fog/ Edge/ cloud computing, additionally, 5G/ 6G (Future) Mobile networks that are relevant to the metaverse. Big data is a significant source that complements each of these techniques. In this paper, we will discuss how different big data techniques help with the growth of the metaverse. The comparison of 3rd Dimensional objects in terms of Spark architecture with HDFS is carried out. We utilized large-scale 3D data to implement and evaluate various machine learning and deep learning models, facilitating a thorough comparison of their performance. Both of the Models have their own advantages and drawbacks, Random Forest model stands out in terms of processing speed, though SimpleNet requires more time for the validation accuracy improvement. © 2023 IOS Press. All rights reserved.

关键词： Big data

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