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Patient-mediated Health data Exchange using Blockchain 5

Patient-mediated Health Data Exchange using Blockchain

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5th IEEE International conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Kumar, Arun Aggarwal, Nancy Vasisht, Urvi Aggarwal, Lakshita Alam, Sana Goswami, Puneet Srm University Dept. Of Computer Science & Engineering Haryana Sonepat India New Delhi India Srm University Dept. Of Computer Science Haryana Sonepat India Dept. Of Biochemistry New Delhi India

ISBN: (纸本)9798350330861

A significant resource for advertising is medical data for the study. To improve medical research and create novel therapies for a range of medical diseases, medical data is an invaluable resource. However, the gathering and use of health data for research also raises significant ethical and legal issues, such as data privacy, security, and consent. this is because health data is typically handled by hospitals or some type of centralized data management company, which can easily sell this data to researchers without the patient's consent and even though the patient receives no financial benefit from it and is unaware of where his or her data is being used, violating the patient's right to privacy. No innovation now gives patients complete access to their data. As a result, this article suggests patient-mediated health data exchange, a comprehensive framework that uses blockchain-based technology to manage an individual patient's Electronic Health Record (EHR) and offers a marketplace where a patient may simply monetize their data with their permission. the suggested framework outlines a healthcare system that aspires to make the patient the legitimate owner of data and makes it simple for researchers to get data through the market. If a patient chooses to sell their data on the open market, the data will be anonymized to preserve their privacy before being shared with researchers and will be made available to the buyer on a subscription basis. this strategy can give patients more control over their private health data and enable them to monetize it if they so want. Smart contracts are also used to uphold data-sharing agreements and guarantee that the data is only utilized for that purpose. Additionally, data will be submitted by qualified doctors during the patient's visit, when the patient will give the doctor permission to view and amend the EHR's health information area by giving them the key to assure data veracity. Finally, we provide an EHR that is unchangeabl

关键词： Electronic data interchange

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Multimedia privacy, security, and Protection within the Blockchain: A Review 5

Multimedia Privacy, Security, and Protection within the Bloc...

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5th International conference on Contemporary Computing and Informatics, IC3I 2022

作者： thang, Pham Chien Trang, Ta thi Nguyet Tai, Bui Trong Prasanth, A. Thai Nguyen University of Sciences Thai Nguyen Viet Nam Thai Nguyen University International School Thai Nguyen Viet Nam Sri Venkateswara College of Engineering Department of Electronics and Communication Engineering Sriperumbudur India

ISBN: (纸本)9798350398267

the fact that wireless and wired sensor and actuator networks have different levels of security is a big challenge when it comes to allowing multimedia applications in the internet of things (IoT). In this work, we create a brand-new, effective security architecture that is both blockchain-based and multimedia-based to support diverse multimedia applications in the IoT. there are several challenges when transferring a file including multimedia data across wireless Internet of things network peers. their centralized structure, which increases the risk of security and reachability of users, is one of the key issues. One approach might be simply converting the system to a decentralised network by storing these data on the blockchain network. But it could compromise privacy, longer response time, low latency, and scalability concerns to address users' low reachability and security problems. Most audiovisual content shared in open spaces (such as wireless networks) runs the danger of being unlawfully duplicated and disseminated with little to no effort, which might have substantial repercussions, including privacy violations and brand damage. It is crucial that an IoT system appropriately secures and protects users' multimedia data and right to privacy. Unauthorized access to internet of things devices or applications is just one of the unfavorable outcomes of a breach in multimedia data security. © 2022 IEEE.

关键词： Internet of things

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5th International conference on Computing, Communications, and Cyber security, IC4S 2023

5th International Conference on Computing, Communications, a...

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5th International conference on Computing, Communications, and Cyber security, IC4S 2023

ISBN: (纸本)9789819773701

the proceedings contain 68 papers. the special focus in this conference is on Computing, Communications, and Cyber security. the topics include: Compact and High-Gain RFID Reader Antennas for Future Internet of things applications;Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-Fed Ultra-Wide HPBW Patch Antenna Array;A Compact and Extremely Stiffness CPW-Fed Metal-Only Patch Antenna Array for Unlimited Lifetime 2U CubeSat Mission Capabilities;Jeans-Based UWB UHF Textile Patch Antenna for IoT applications;Design and Fabrication of PCB-Based Proximity Sensors for application in Automatic Railway Crossing System;feaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection;detecting Depressive Symptoms on Social Media: A Comprehensive Review of Methodologies and Strategies for Suicide Prevention;enhancing Video Content Accessibility through YouTube Transcript Summarization;Enhanced Rear-End Collision Detection and Localization Scheme Using LSTM, DRNN, and DNN in Fog-Based Internet of Vehicles;security threats and data Protection Methods Used in Cloud Computing: A Review;load Balancing Algorithms for Cloud Computing Performance: A Review;seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry;Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI and ML;CNN-Based Model for Real-Time Identification of Face Masks;a Systematic Review of Deepfake Detection Using Learning Techniques and Vision Transformer;probabilistic Forecasting Prediction Model for Anticipating Days with Elevated Air Pollution;optimizing Graph Colorings: Unleashing the Power of Heuristic Algorithms for Enhanced Problem-Solving;a Load Balancing Approach Using Binary Search;enhancing Software Reliability through Hybrid Metaheuristic Optimization.

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application Analysis of Machine Learning in Cyberspace security Research 5

Application Analysis of Machine Learning in Cyberspace Secur...

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5th International conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Du, Wenzhuo Wang, Gerun Ma, Xuanbo Yu, Xintian People’s Public Security University of China China

ISBN: (纸本)9781510662520

With the rapid development of society and the continuous change of the times, my country's Internet technology has achieved great development space. Cloud computing, Internet of things, etc. have formed the current era of big data. At present, there are a lot of network access points, and the networked devices among them will generate a lot of data, so there are higher requirements for the security of the cyberspace, and it is also a golden opportunity. Traditional cyberspace security research is relatively inefficient in data processing, machine learning has strong adaptability, and strong learning capabilities also ensure the security of cyberspace. Under such a social background, it is necessary to give full play to the role of machine learning. After applying machine learning, it can effectively solve the problems existing in cyberspace security research. Based on this, this paper discusses the application of machine learning in cyberspace security research. © 2023 SPIE.

关键词： Machine learning

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application of Machine Learning Algorithms in Personalized Marketing 5

Application of Machine Learning Algorithms in Personalized M...

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5th IEEE International conference on Recent Trends in Computer Science and Technology, ICRTCST 2024

作者： thirumagal, P.G. Kishore Bhattacharjee, D. Dorbala, Rajesh Palav, Manesh R. Viji, S. Mahajan, Vaishali VISTAS Department of MBA Tamil Nadu Chennai India Amity University Bihar Patna India Lovely Professional University Mittal School of Business Punjab Phagwara India Global Business School & Research Centre MBA Department Pune Maharashtra Pimpri India Kalasalingam Academy of Research and Education Department of Commerce Tamil Nadu Srivilliputtur India Department of Marketing Maharashtra Pune India

ISBN: (纸本)9798350351378

the win-win relationship between artificial intelligence and the cutting-edge field of targeted advertising. Companies nowadays are employing machine learning algorithms to develop targeted marketing strategies because they simply cannot afford to ignore their clients. this article delves into significant machine learning approaches such collaborative filtering, content-based filtering, clustering, and predictive modelling to illuminate their roles in offering personalised experiences. Examining real-world applications across many industries, such as e-commerce, social media, email marketing, and retail, highlights successful implementations. Although the piece focuses on the positives, such increased conversion rates and satisfied consumers, it also examines the negatives, like concerns about data privacy and algorithmic biases. the discusses the ethical concerns brought up by highly personalised advertising and foresees future advances such as natural language processing and reinforcement learning. Lastly, this article provides excellent research on the ways in which machine learning algorithms have changed personalised marketing, which can help businesses adapt to the dynamic nature of customer engagement. © 2024 IEEE.

关键词： Electronic commerce

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Cloud Computing-Enhanced and Raspberry Pi-powered Solution for Remote Ear, Nose, and throat Consultations with AI-Driven Diagnostics 5

Cloud Computing-Enhanced and Raspberry Pi-powered Solution f...

引用

5th IEEE International conference for Emerging Technology, INCET 2024

作者： Giriprasad, S. Karpagam, T. Nalini, V. Mishra, Nilamadhab Mohankumar, N. Malathi, N. Department of Electronics and Communication Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India Department of Artificial Intelligence and Data Science R.M.K College of Engineering and Technology Tamil Nadu Chennai India Department of Mathematics Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College Tamil Nadu Chennai India School of Computing Science and Engineering VIT Bhopal University Madhya Pradesh India Department of Electronics and Communication Engineering B.V. Raju Institute of Technology Telangana India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350361155

the cutting-edge telemedicine program presents a game-changing alternative for patients seeking ENT (ear, nose, and throat) consultations from a distant location. Utilizing the capabilities of Raspberry Pi devices, powerful artificial intelligence, and cloud computing, the system allows otoscopic tests to be performed without interruption while securely transmitting data to the cloud. On a web-based platform, interactive patient-professional consultations are made possible via real-time communication, which is made possible by WebRTC. Cloud services are very important because of their ability to provide scalable storage as well as AI-driven diagnostics for accurate evaluations. the system complies with the requirements for healthcare compliance, emphasizes security and privacy, and features encryption from beginning to finish. this integrated approach promises scalability, reliability, and advanced diagnostic capabilities, and it reshapes the landscape of remote ENT care with accessible and technologically advanced healthcare solutions. With a user-friendly interface for patients and a cloud-hosted application for healthcare professionals, this integrated approach provides patients with advanced healthcare solutions. © 2024 IEEE.

关键词： Artificial intelligence

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GZKP: A GPU Accelerated Zero-Knowledge Proof System 2023

GZKP: A GPU Accelerated Zero-Knowledge Proof System

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28th acm International conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

作者： Ma, Weiliang Xiong, Qian Shi, Xuanhua Ma, Xiaosong Jin, Hai Kuang, Haozhao Gao, Mingyu Zhang, Ye Shen, Haichen Hu, Weifang Huazhong Univ Sci & Technol Natl Engn Res Ctr Big Data Technol & Syst Serv Comp Technol & Syst Lab Sch Comp Sci & TechnolCluster & Grid Comp Lab Wuhan Hubei Peoples R China Hamad Bin Khalifa Univ Doha Qatar Tsinghua Univ Beijing Peoples R China Scroll Fdn Victoria Beau Vallon Seychelles

ISBN: (纸本)9781450399166

Zero-knowledge proof (ZKP) is a cryptographic protocol that allows one party to prove the correctness of a statement to another party without revealing any information beyond the correctness of the statement itself. It guarantees computation integrity and confidentiality, and is therefore increasingly adopted in industry for a variety of privacy-preserving applications, such as verifiable outsource computing and digital currency. A significant obstacle in using ZKP for online applications is the performance overhead of its proof generation. We develop GZKP, a GPU accelerated zero-knowledge proof system that supports different levels of security requirements and brings significant speedup toward making ZKP truly usable. For polynomial computation over a large finite field, GZKP promotes a cache-friendly memory access pattern while eliminating the costly external shuffle in existing solutions. For multi-scalar multiplication, GZKP adopts a new parallelization strategy, which aggressively combines integer elliptic curve point operations and exploits fine-grained task parallelism with load balancing for sparse integer distribution. GZKP outperforms the state-of-the-art ZKP systems by an order of magnitude, achieving up to 48.1x and 17.6x speedup with standard cryptographic benchmarks and a real-world application workload, respectively.

关键词： zero-knowledge proof GPU acceleration

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A Universal Lightweight privacy-Preserving Multifunctional data Handling Scheme 5th

A Universal Lightweight Privacy-Preserving Multifunctional D...

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5th International conference on Frontiers in Cyber security (FCS)

作者： Li, Yulian Shen, Hua Hubei Univ Technol Sch Comp Sci Wuhan 430068 Peoples R China

ISBN: (纸本)9789811984440;9789811984457

Most previous studies leverage homomorphic encryptions to execute arithmetic operations (e.g., summation, average) on encrypted data. However, these schemes are designed for a specific application environment and just achieve secure computation of a limited number of functions. therefore, we propose a new privacy-preserving multifunctional data handling scheme with three main contributions. Firstly, it can efficiently complete plenty of rich, secure arithmetic operations through homomorphic encryption techniques to destroy the one-to-one relationship between data and its source. Secondly, it can resist differential attacks launched by the data processing entity by adding random noise. Meanwhile, it enables data analyzing entities to obtain accurate results by removing random noise. Ultimately, we conduct the security analysis, performance analysis, and comparison. these analyses show that the proposed scheme can preserve data privacy and differential privacy and is efficient regarding computation cost and communication overhead.

关键词： privacy protection Differential privacy Multifunctional data handling Lightweight Universality

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5th International conference on Computing and Network Communications, CoCoNet 2023

5th International Conference on Computing and Network Commun...

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5th International conference on Computing and Network Communications, CoCoNet 2023

ISBN: (纸本)9789819745395

the proceedings contain 44 papers. the special focus in this conference is on Computing and Network Communications. the topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;resource-Aware Learning Automata for Low-Latency Task Scheduling in Fog Computing;Design of High Gain Wideband Petal-Shaped Magneto-Electric Dipole Metal Antenna for 5G Sub-6 GHz and Wi-Fi applications;A Novel Billhook-Shaped 2-Element MIMO Array for Sub-6 GHz Millimeter Wave application;energy-Efficient Transmission in Wireless Sensor Network Using Compressive Sensing;smart City Solutions for Traffic Management;an IoT-Assisted Real-Time Urban Air Pollution data Collection System;real-Time Stock Price Prediction Using Apache Kafka;RSS-Based Localization Using GRU and BiGRU Deep Learning Models in LoRaWAN-IoT Networks;locating and Routing for IoT-Based Fire Evacuation System;an Energy-Efficient data Management Approach Using Sparse Compression in Future-Ready IoT Networks;a Framework for Developing IoT and Edge Computing-Based Smart Transportation applications;a Mathematical Model for data Traffic Management in Next-Generation IoT Networks;crowdsourced Mobile applications for Disaster Relief: A Case Study of Landslide Tracker and Amrita Kripa App Deployments in Sikkim Schools;design and Modeling of Modular Wheelchair for therapeutic Exercises;analyzing data Traffic in IoT Networks: A Novel Graph-Based Architecture;A Lightweight privacy-Preserving and Authentication Model (LiPAM-FSG) for Fog-Based Smart Grids;time Series Analysis and Rule Mining for Detecting Industrial Control System data Injection Attacks;Radius-Based Authentication: UFrames’ Novel Approach to Prevent Account Sharing;deep Neural Network-Based Secure Energy-Efficient Power Allocation in an Interference Network;An Adaptive Time Quantum-Based Efficient Round-Robin Algorithm for CPU Scheduling;low-Cost Advanced Undetectable Hardware-Based Malicious Keyboard;constructing a Blind Digital Signature Scheme

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Federated Learning for Smart Cities in Free Trade Area of China: Current Status, application Cases, Challenges and Opportunities 24

Federated Learning for Smart Cities in Free Trade Area of Ch...

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proceedings of the 2024 5th International conference on Big data Economy and Information Management

作者： Mengxue Zuo Law School Xi'an Jiaotong University Xi'an Shaanxi China

ISBN: (纸本)9798400711862

As digital governance advances the integration of urban infrastructure data networks and management methods to enhance efficiency and sustainability in China's cities is becoming increasingly essential. the core of digital and smart governance lies in utilizing these comprehensive systems for governmental operations. Scholl's "Roadmap" has been cited as a blueprint that can revitalize urban areas yet it faces difficulties such as security risks. the European Union has been a pioneer in the use of Federated Learning for smart city management achieving considerable benefits despite difficulties such as preserving privacy guaranteeing data dependability and ensuring quality. this technology not only improves the quality of data but also keeps confidentiality significantly impacting smart city endeavors despite the complexity of the systems and delayed effects. In order to address these obstacles it is crucial to have both advances in technology and proactive legal actions.

关键词： Federated Learning privacy Protection Smart Cities Smart Governance

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