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distributed Standardized Data Sharing Scheme Based on Blockchain for Power System

Distributed Standardized Data Sharing Scheme Based on Blockc...

引用

Information Systems and computing Technology (ISCTech), international conference on

作者： Jinzhao Liang Haomin Chen Yun Ma China Southern Power Grid Digital Grid Group Co. LTD Guangzhou China

the security of the traditional data sharing scheme is generally based on the trust of both sides, less consideration of security, and generally need a trusted party for scheduling. However, in the standardization process of power information system, participating users are mutually distrusting, and it is difficult to balance decentralization, efficiency, cost and verifiability requirements. To address these challenges, we propose a novel data sharing architecture. the architecture of this paper can meet the key characteristics of distributed data sharing, namely decentralization, trust flow, supervision, and can realize the necessary security requirements of standardized data sharing. In addition, we deploy the scheme and implemented in two test networks of the well-known blockchain Ethereum. the results show that our scheme has better operating efficiency and stability, and is suitable for practical application.

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Cloud computing Methods Based on IoT for Better Patient Data Planning: A Research 11

Cloud Computing Methods Based on IoT for Better Patient Data...

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11th international conference on System Modeling and Advancement in Research Trends, SMART 2022

作者： Kumar Pandey, Arvind Maneria, Sumitra Arka Jain University Department of Computer Science Jharkhand Jamshedpur India Parul University Department of Cse Pit Gujarat Vadodara India

ISBN: (纸本)9781665487320

Clinics all across the world are implementing more recent, extremely sophisticated technologies. Information and communication technology improvements are to blame for the emergence of the Internet of things (IoT). In recent years, new opportunities for data collection and wiser judgments have emerged with the integration of the Internet of things with patient-accessible medical devices, as well as with patients and their surroundings. IoT technologies aid patients and doctors in today's healthcare environment since they are applied in a range of medical sectors (like real-time monitoring, patient information and healthcare management). In the future of IoT for healthcare, various and distributed devices will collect, analyses, and transmit real-time medical data to open clouds, enabling the accumulation, piling, and analysis of crucial data streams in numerous new procedures as well as the activation of context-dependent intimations. IoT paradigm can advance the current development of traditional healthcare model toward engaged medicine by using sensors (environmental, wearable, and implanted) dispersed across local surroundings with the purpose of monitoring patient's health and launching remotely care. the development of new technology for storing vast amounts of clinical data has become increasingly important in recent years. the management of the massive amount of cloud storage is done by fusing edge computing with the Internet of things. Recent studies have shown that the cloud and IoT integration significantly affect remote healthcare. this survey study focuses on the various applications of edge computing IoT devices to improve people's health while ensuring the accuracy of medications and medication delivery. Healthcare practitioners, researchers, and others interested in learning more about IoT with edge computing-based health care applications will be able to use the research's goal as a source and reference for information about smart healthcare. © 2022

关键词： Internet of things

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A Hybrid Architecture of 5G Private Network Solution for Urban Rail Transportation Systems 1

引用

11th international conference on Communications, Signal Processing, and Systems, CSPS 2022

作者： Zhou, Jianming Jing, Haoxian Ning, Lei Pang, Kailei China United Network Communications Corporation ShenZhen Branch Shenzhen China College of Big Data and Internet Shenzhen Technology University Shenzhen China

ISBN: (数字)9789819912605

ISBN: (纸本)9789819912599

Recently, urban rail transportation is constantly developing to intelligent urban rail based on the Internet of things, artificial intelligence, and high-speed communication. Long Term Evolution for Urban Rail Transportation System (LTE-URTS) is a communication system for urban transportation service, which carries the essential services by urban rail with 4G LTE. However, with the continuous increase of new demands, LTE also faces the shortcomings of insufficient bandwidth and high construction costs. As an advanced solution, networking through 5G can bring better performance to satisfy multiple demands of the modern Urban Rail Transportation System (URTS) than LTE-URTS. this article provides an overview of the characteristics of 5G and LTE-URTS. In addition, we propose a new network architecture solution based on 5G for the URTS with field test results, which have better performance compared to LTE-URTS. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Edge computing

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IoT Based Designing of Secure Data Storage System in distributed Cloud System with Big Data using Cryptography Algorithm

IoT Based Designing of Secure Data Storage System in Distrib...

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international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Ravi Shankar Shukla Department of Computer Science College of Computing and Informatics Saudi Electronic University KSA

ISBN: (纸本)9781665487351

the cloud system plays a versatile role in the storage of vast data for future references. this includes the delivery of the computing sources that includes the servers with storage, various databases, networking system and software analysis. the web based services provides various usages in versatile forms. the cloud computing helps in numerous pathways for the web based service networks. the security of the data and the privacy constraints are the important aspects involved in the cloud computing techniques. this includes the safeguarding the sensitive data with higher precision. this is accompanied with the intelligent cryptographic algorithm to obtain secure data in the cloud system. this helps to save the data through several data processing applications accompanied with the cryptography algorithm. the cryptography algorithm are enabled to obtain encrypt data so that to have secure communication links in the networking system. this helps in the separation of data with the prescribed files in the distributed cloud networks. the operational time is secured by the classification of data in the form of data packets.

关键词： Cloud computing Data privacy Buffer storage distributed databases Memory Big Data Software

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Two Hybrid Heuristic Algorithms for Optimizing Data Processing Schedules in distributed Edge computing

Two Hybrid Heuristic Algorithms for Optimizing Data Processi...

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international conference on Wireless Networks and Mobile Communications (WINCOM)

作者： Achraf Sayah Said Aqil Bouchra Aadil Mohamed Lahby Laboratory of Applied Mathematics and Computer Sciences Higher Normal School Hassan II University of Casablanca Morocco

ISBN: (数字)9798350377866

ISBN: (纸本)9798350377873

In recent years, edge computing has emerged as a promising solution in the field of network computing. this architecture ensures the availability of distributed computing resources located closer to end-users and IoT devices. However, resource scheduling remains a significant challenge in edge computing, requiring effective strategies to optimize resource utilization and ensure efficient task allocation. In this paper, we propose two hybrid approaches that combine the Nawaz-Enscore-Ham (NEH) algorithm with local search and Greedy Random Adaptive Search Procedure (GRASP) algorithm with local search for modeling and solving data traffic in distributed edge computing environments (DPSDEC). through extensive evaluations, we consistently observe that the NEH algorithm outperforms GRASP, delivering minimized makespan and generating efficient schedules. Moreover, the NEH algorithm performs very well in less complex situations and maintains this advantage even in larger and more complex problems.

关键词： Schedules Processor scheduling Wireless networks Optimal scheduling Data processing Mobile communication Scheduling

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Design and Implementation of Privacy Protection of Charity System Based on Blockchain 11

Design and Implementation of Privacy Protection of Charity S...

引用

11th international conference of Information and Communication Technology, ICTech 2022

作者： Yu, Jingang Wen, Zhifeng Li, Shu Hou, Yongkang Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Shenyang Ligong University Shenyang China

ISBN: (数字)9781665496940

ISBN: (纸本)9781665496940

With more and more public involvement in the charity field, higher requirements are put forward for user privacy protection in the charity system. As a decentralized, anonymous and immutable distributed ledger, blockchain provides a new idea to solve the privacy protection problems in charity systems. Aiming at the problem of data privacy protection of charity system, user-oriented and data-oriented privacy protection methods are proposed. User-oriented privacy protection by writing smart contracts to limit users' access to data and ensure the privacy of data;Data-oriented privacy protection encrypts data by using encryption algorithms. In this paper, an improved AES algorithm is proposed. By dynamically constructing S-box, the algorithm does not have obvious structural characteristics, and various properties are random transformation, which increases the difficulty of cracking;At the same time, the AES algorithm is parallelized to improve the encryption and decryption rates. Experimental results show that the improved AES algorithm can ensure the security of data encryption in charity system and improve the operation efficiency. © 2022 IEEE.

关键词： Blockchain

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A Novel Hybrid (Po-thk) Method For Ids and Privacy-Preserving In distributed Data Environment Using Metaheuristic Techniques 11

A Novel Hybrid (Po-Thk) Method For Ids and Privacy-Preservin...

引用

11th IEEE international conference on Communication Systems and Network Technologies, CSNT 2022

作者： Priyadarshini, D. Bale, Ajay L.R.G. Government Arts College for Women Department of Computer Science Tamil Nadu Tiruppur641604 India Sree Narayana Guru College Department of Computer Science Tamil Nadu Coimbatore India

ISBN: (纸本)9781665480383

Due to its unique benefits such as distributing IT infrastructure, limitless expansion, versatility, and a significant degree of automating, the Cloud-computing (CC) was evolving as upcoming Digital-Technologies. Together with the fast development, the CC innovation often raises questions about the privacy and security of data and applications stored in the online context. the Privacy-Preservation (PP) is perhaps the action of safeguarding an individual's private information, including confidential information, before publication. As a result, in the CC context, an innovative strategy for information along with PP is needed. Data-publication utilizing PP demands the management of distribution when leveraging a person's sensitive details. throughout this research, we develop and implement an "Intrusion Detection System"(IDS) for data access using a hybrid strategy. Data-Gathering and Data-Publishing are two stages of system implementation. the data is being collected from the owner first by cloud server in the initial phase, however, during the latter phase, the server transmits the gathered data to the general or data-miners, referred to as data-consumers. thus this work aims to build up a method for PP in the CC environment utilizing the Pigeon-Optimization (PO) method for locating the secure storage space by feature selection and Tiger-Hash-key (thK) generation method for converting the original data into PP data, thus by combining Pigeon with Tiger (PO-thK) hybrid method was proposed to improve the security in a cloud environment. the proposed PO-thK method performs a better outcome in UAR, IDR, and Space complexity while comparing it with the existing method AUA-MHT. © 2022 IEEE.

关键词： Optimization

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A Comprehensive Survey on Effective Feature Selection Approaches for Text Sentiment Classification Process 11

A Comprehensive Survey on Effective Feature Selection Approa...

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11th international conference on Cloud computing, Data Science and Engineering (Confluence)

作者： Rajpoot, Abha Kiran Nand, Parma Abidi, Ali Imam Sharda Univ Dept CSE Greater Noida India

ISBN: (纸本)9781665414517

Feature Selection (FS) is the selection of certain features by using a criterion assessment application. In the age of technological advancements and innovations, there has been a significant rise in the use of different social networking applications such as Facebook, YouTube, Twitter, and e-commerce platforms such as Amazon, Alibaba, Flipkart, and others. It has increased the use of sentiment analysis in the different real-world applications so that there is a classification of text in different preset polarities such as optimistic, pessimistic, and impartial. the current research aims to find out the selection process involved in choosing the optimal features for classification using sentimental textual data. the study presents the scope of the sentimental analysis using textual data, fundamentals of the classification process, and the significance of the feature selection schemes so that there is an implementation of effective feature selection for text classification and analysis of sentiments.

关键词： Feature Selection (FS) Sentiment Social networking Machine Learning Rule-Based Systems

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SMPPO: A Shared Memory Scheduling Approach for Real-Time Heterogeneous Serverless Edge Environment

SMPPO: A Shared Memory Scheduling Approach for Real-Time Het...

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international conference on Web Research (ICWR)

作者： Armin Mohammadi Ghaleh K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331508913

ISBN: (纸本)9798331508920

Serverless edge computing is transforming distributed systems, especially for IoT, by merging serverless architecture with edge computing. this evolution demands efficient scheduling methods, as traditional approaches struggle with dynamic and heterogeneous environments. Deep Reinforcement Learning (DRL), particularly the Proximal Policy Optimization (PPO) algorithm, offers a promising alternative. Our proposed method, SMPPO, introduces a global trajectory memory where agents learn from both their own and others' experiences. Simulations show SMPPO consistently outperforms others, improving total performance by 15% and response time by 25%. this robust, scalable approach advances scheduling in serverless edge computing.

关键词： Processor scheduling Simulation Merging Dynamic scheduling Deep reinforcement learning Real-time systems Trajectory Time factors Optimization Edge computing

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RT-MongoDB: A NoSQL Database with Differentiated Performance 11

RT-MongoDB: A NoSQL Database with Differentiated Performance

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11th international conference on Cloud computing and Services Science (CLOSER)

作者： Andreoli, Remo Cucinotta, Tommaso Pedreschi, Dino Scuola Super Sant Anna Pisa Italy Univ Pisa Pisa Italy

ISBN: (纸本)9789897585104

the advent of Cloud computing and Big Data brought several changes and innovations in the landscape of database management systems. Nowadays, a cloud-friendly storage system is required to reliably support data that is in continuous motion and of previously unthinkable magnitude, while guaranteeing high availability and optimal performance to thousands of clients. In particular, NoSQL database services are taking momentum as a key technology thanks to their relaxed requirements with respect to their relational counterparts, that are not designed to scale massively on distributed systems. Most research papers on performance of cloud storage systems propose solutions that aim to achieve the highest possible throughput, while neglecting the problem of controlling the response latency for specific users or queries. the latter research topic is particularly important for distributed real-time applications, where task completion is bounded by precise timing constraints. In this paper, the popular MongoDB NoSQL database software is modified introducing a per-client/request prioritization mechanism within the request processing engine, allowing for a better control of the temporal interference among competing requests with different priorities. Extensive experimentation with synthetic stress workloads demonstrates that the proposed solution is able to assure differentiated per-client/request performance in a shared MongoDB instance. Namely, requests with higher priorities achieve reduced and significantly more stable response times, with respect to lower priorities ones. this constitutes a basic but fundamental brick in providing assured performance to distributed real-time applications making use of NoSQL database services.

关键词： Cloud computing NoSQL Databases Real-time Systems

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