Protecting Privacy through Homomorphic Encryption

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Author :
Publisher : Springer Nature
ISBN 13 : 303077287X
Total Pages : 184 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Protecting Privacy through Homomorphic Encryption by : Kristin Lauter

Download or read book Protecting Privacy through Homomorphic Encryption written by Kristin Lauter and published by Springer Nature. This book was released on 2022-01-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working closely to standardize homomorphic encryption. This is the first publication of whitepapers created by these experts that comprehensively describes the scientific inventions, presents a concrete security analysis, and broadly discusses applicable use scenarios and markets. This book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by groups of top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research. The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.

Homomorphic Encryption and Applications

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Author :
Publisher : Springer
ISBN 13 : 3319122290
Total Pages : 136 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Homomorphic Encryption and Applications by : Xun Yi

Download or read book Homomorphic Encryption and Applications written by Xun Yi and published by Springer. This book was released on 2014-11-06 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the fundamental concepts of homomorphic encryption. From these foundations, applications are developed in the fields of private information retrieval, private searching on streaming data, privacy-preserving data mining, electronic voting and cloud computing. The content is presented in an instructional and practical style, with concrete examples to enhance the reader's understanding. This volume achieves a balance between the theoretical and the practical components of modern information security. Readers will learn key principles of homomorphic encryption as well as their application in solving real world problems.

An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (899 download)

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Book Synopsis An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds by : Sonam Mittal

Download or read book An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds written by Sonam Mittal and published by . This book was released on 2023-05-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds" is a comprehensive and innovative book that explores the application of enhanced homomorphic encryption techniques to safeguard privacy in cloud computing environments. Authored by experts in the field, this book serves as a valuable resource for researchers, professionals, and practitioners interested in leveraging advanced encryption methods to protect sensitive data while harnessing the benefits of cloud computing. In this book, the authors delve into the critical need for privacy preservation in cloud computing, where data is outsourced to remote servers. They introduce an enhanced homomorphic encryption model that enables computations on encrypted data, allowing secure and privacy-preserving data processing in cloud environments. The book covers various aspects of the enhanced homomorphic encryption model, including its theoretical foundations, implementation considerations, and practical applications. Key topics covered in this book include: Privacy challenges in cloud computing: The authors provide a comprehensive overview of the privacy concerns associated with cloud computing, including data leakage, unauthorized access, and privacy breaches. They highlight the need for encryption techniques that allow data to remain confidential even when processed in the cloud. Homomorphic encryption fundamentals: The book offers an in-depth exploration of homomorphic encryption techniques and their applications in cloud computing. Readers gain a solid understanding of fully homomorphic encryption (FHE) and its variations, including partially homomorphic encryption (PHE) and somewhat homomorphic encryption (SHE). Enhanced homomorphic encryption model: The authors present their enhanced homomorphic encryption model that incorporates innovative approaches to improve the efficiency, scalability, and security of homomorphic encryption. They discuss techniques such as ciphertext compression, parallelization, and optimization algorithms, ensuring the practicality of the encryption model for real-world cloud computing scenarios. Secure data processing in the cloud: The book explores how the enhanced homomorphic encryption model enables secure and privacy-preserving data processing in cloud environments. It covers various applications, including secure search, data mining, machine learning, and data analytics, demonstrating how encrypted data can be utilized without compromising privacy. Performance considerations and trade-offs: The authors address the performance challenges and trade-offs associated with homomorphic encryption. They discuss factors such as computation complexity, encryption overhead, and key management, providing insights into optimizing the performance of the enhanced homomorphic encryption model. Practical implementation and case studies: The book includes practical implementation considerations and case studies that showcase the deployment and effectiveness of the enhanced homomorphic encryption model in real-world cloud computing scenarios. The case studies cover domains such as healthcare, finance, and sensitive data sharing, illustrating the practicality and benefits of the proposed model. Throughout the book, the authors provide insights, practical examples, and algorithmic explanations to facilitate a deep understanding of the enhanced homomorphic encryption model. By leveraging the power of enhanced homomorphic encryption, "An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds" equips its readers with the knowledge and tools necessary to protect sensitive data, preserve privacy, and enable secure cloud-based computations.

Tutorials on the Foundations of Cryptography

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Author :
Publisher : Springer
ISBN 13 : 331957048X
Total Pages : 461 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Tutorials on the Foundations of Cryptography by : Yehuda Lindell

Download or read book Tutorials on the Foundations of Cryptography written by Yehuda Lindell and published by Springer. This book was released on 2017-04-05 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a graduate textbook of advanced tutorials on the theory of cryptography and computational complexity. In particular, the chapters explain aspects of garbled circuits, public-key cryptography, pseudorandom functions, one-way functions, homomorphic encryption, the simulation proof technique, and the complexity of differential privacy. Most chapters progress methodically through motivations, foundations, definitions, major results, issues surrounding feasibility, surveys of recent developments, and suggestions for further study. This book honors Professor Oded Goldreich, a pioneering scientist, educator, and mentor. Oded was instrumental in laying down the foundations of cryptography, and he inspired the contributing authors, Benny Applebaum, Boaz Barak, Andrej Bogdanov, Iftach Haitner, Shai Halevi, Yehuda Lindell, Alon Rosen, and Salil Vadhan, themselves leading researchers on the theory of cryptography and computational complexity. The book is appropriate for graduate tutorials and seminars, and for self-study by experienced researchers, assuming prior knowledge of the theory of cryptography.

Learning on Private Data with Homomorphic Encryption and Differential Privacy

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Author :
Publisher :
ISBN 13 :
Total Pages : 117 pages
Book Rating : 4.:/5 (993 download)

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Book Synopsis Learning on Private Data with Homomorphic Encryption and Differential Privacy by : Suxin Guo

Download or read book Learning on Private Data with Homomorphic Encryption and Differential Privacy written by Suxin Guo and published by . This book was released on 2015 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the growing concern of privacy issues poses a challenge to the study of sensitive data. In this thesis, we address the learning of private data in two practical scenarios. 1) It is very commonly seen that the same type of data are distributed among multiple parties, and each party has a local portion of the data. For these parties, the learning based only on their own portions of data may lead to small sample problem and generate unsatisfying results. On the other hand, privacy concerns prevent them from exchanging their data and subsequently learning global results from the union of data. In this scenario, we solve the problem with the homomorphic encryption model. Homomorphic encryption enables calculations in the cipher space, which means that some particular operations of data can be conducted even when the data are encrypted. With this technique, we design the privacy preserving solutions for four popular data analysis methods on distributed data, including the Marginal Fisher Analysis (MFA) for dimensionality reduction and classification, the Kruskal-Wallis (KW) statistical test for comparing the distributions of samples, the Markov model for sequence classification and the calculation of Fisher criterion score for informative gene selection. Our solutions allow different parties to perform the algorithms on the union of their data without revealing each party's private information. 2) The other scenario is that, the data holder wants to release some knowledge learned from the sensitive dataset without violating the privacy of individuals participated in the dataset. Although there is no need of direct data exchange in this scenario, publishing the knowledge learned from the data still exposes the participants' private information. Here we adopt the rigorous differential privacy model to protect the individuals' privacy. Specifically, if an algorithm is differentially private, the presence or absence of a data instance in the training dataset would not make much change to the output of the algorithm. In this way, from the released output of the algorithm people cannot gain much information about the individuals participated in the training dataset, and thus the individual privacy is protected. In this scenario, we develop differentially private One Class SVM (1-SVM) models for anomaly detection with theoretical proofs of the privacy and utility. The learned differentially private 1-SVM models can be released for others to perform anomaly detection without violating the privacy of individuals who participated in the training dataset.

The Ethics of Cybersecurity

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Publisher : Springer Nature
ISBN 13 : 3030290530
Total Pages : 388 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis The Ethics of Cybersecurity by : Markus Christen

Download or read book The Ethics of Cybersecurity written by Markus Christen and published by Springer Nature. This book was released on 2020-02-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. It discusses theories, problems and solutions on the relevant ethical issues involved. This work is sorely needed in a world where cybersecurity has become indispensable to protect trust and confidence in the digital infrastructure whilst respecting fundamental values like equality, fairness, freedom, or privacy. The book has a strong practical focus as it includes case studies outlining ethical issues in cybersecurity and presenting guidelines and other measures to tackle those issues. It is thus not only relevant for academics but also for practitioners in cybersecurity such as providers of security software, governmental CERTs or Chief Security Officers in companies.

Protecting Privacy in Video Surveillance

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Publisher : Springer Science & Business Media
ISBN 13 : 1848823010
Total Pages : 213 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Protecting Privacy in Video Surveillance by : Andrew Senior

Download or read book Protecting Privacy in Video Surveillance written by Andrew Senior and published by Springer Science & Business Media. This book was released on 2009-07-06 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protecting Privacy in Video Surveillance offers the state of the art from leading researchers and experts in the field. This broad ranging volume discusses the topic from various technical points of view and also examines surveillance from a societal perspective. A comprehensive introduction carefully guides the reader through the collection of cutting-edge research and current thinking. The technical elements of the field feature topics from MERL blind vision, stealth vision and privacy by de-identifying face images, to using mobile communications to assert privacy from video surveillance, and using wearable computing devices for data collection in surveillance environments. Surveillance and society is approached with discussions of security versus privacy, the rise of surveillance, and focusing on social control. This rich array of the current research in the field will be an invaluable reference for researchers, as well as graduate students.

Foundations of Secure Computation

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Author :
Publisher : IOS Press
ISBN 13 : 9781586030155
Total Pages : 346 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Foundations of Secure Computation by : Friedrich L. Bauer

Download or read book Foundations of Secure Computation written by Friedrich L. Bauer and published by IOS Press. This book was released on 2000 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: The final quarter of the 20th century has seen the establishment of a global computational infrastructure. This and the advent of programming languages such as Java, supporting mobile distributed computing, has posed a significant challenge to computer sciences. The infrastructure can support commerce, medicine and government, but only if communications and computing can be secured against catastrophic failure and malicious interference.

Information Security and Privacy

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Publisher : Springer Nature
ISBN 13 : 9819750253
Total Pages : 507 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Information Security and Privacy by : Tianqing Zhu

Download or read book Information Security and Privacy written by Tianqing Zhu and published by Springer Nature. This book was released on with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Sustainable Development Using Private AI

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Author :
Publisher : CRC Press
ISBN 13 : 1040109675
Total Pages : 318 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Sustainable Development Using Private AI by : Uma Maheswari V

Download or read book Sustainable Development Using Private AI written by Uma Maheswari V and published by CRC Press. This book was released on 2024-08-27 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision. Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer’s data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms. The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.

Fully Homomorphic Encryption in Real World Applications

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Author :
Publisher : Springer
ISBN 13 : 9811363935
Total Pages : 141 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Fully Homomorphic Encryption in Real World Applications by : Ayantika Chatterjee

Download or read book Fully Homomorphic Encryption in Real World Applications written by Ayantika Chatterjee and published by Springer. This book was released on 2019-03-29 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the latest developments in fully homomorphic encryption (FHE), an effective means of performing arbitrary operations on encrypted data before storing it in the ‘cloud’. The book begins by addressing perennial problems like sorting and searching through FHE data, followed by a detailed discussion of the basic components of any algorithm and adapting them to handle FHE data. In turn, the book focuses on algorithms in both non-recursive and recursive versions and discusses their realizations and challenges while operating in the FHE domain on existing unencrypted processors. It highlights potential complications and proposes solutions for encrypted database design with complex queries, including the basic design details of an encrypted processor architecture to support FHE operations in real-world applications.

Advances in Cryptology – CRYPTO 2023

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Publisher : Springer Nature
ISBN 13 : 3031385519
Total Pages : 776 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Cryptology – CRYPTO 2023 by : Helena Handschuh

Download or read book Advances in Cryptology – CRYPTO 2023 written by Helena Handschuh and published by Springer Nature. This book was released on 2023-08-08 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set, LNCS 14081, 140825, 14083, 14084, and 14085 constitutes the refereed proceedings of the 43rd Annual International Cryptology Conference, CRYPTO 2023. The conference took place at Santa Barbara, USA, during August 19-24, 2023. The 124 full papers presented in the proceedings were carefully reviewed and selected from a total of 479 submissions. The papers are organized in the following topical sections: Part I: Consensus, secret sharing, and multi-party computation; Part II: Succinctness; anonymous credentials; new paradigms and foundations; Part III: Cryptanalysis; side channels; symmetric constructions; isogenies; Part IV: Faster fully homomorphic encryption; oblivious RAM; obfuscation; secure messaging; functional encryption; correlated pseudorandomness; proof systems in the discrete-logarithm setting.

Data Science

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Publisher : Springer Nature
ISBN 13 : 9811659435
Total Pages : 532 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data Science by : Jianchao Zeng

Download or read book Data Science written by Jianchao Zeng and published by Springer Nature. This book was released on 2021-09-10 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021. The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.

IoT Platforms, Use Cases, Privacy, and Business Models

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Publisher : Springer Nature
ISBN 13 : 3030453162
Total Pages : 231 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis IoT Platforms, Use Cases, Privacy, and Business Models by : Carna Zivkovic

Download or read book IoT Platforms, Use Cases, Privacy, and Business Models written by Carna Zivkovic and published by Springer Nature. This book was released on 2020-07-21 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and consistent introduction to the Internet of Things. Hot topics, including the European privacy legislation GDPR, and homomorphic encryption are explained. For each topic, the reader gets a theoretical introduction and an overview, backed by programming examples. For demonstration, the authors use the IoT platform VICINITY, which is open-source, free, and offers leading standards for privacy. Presents readers with a coherent single-source introduction into the IoT; Introduces selected, hot-topics of IoT, including GDPR (European legislation on data protection), and homomorphic encryption; Provides coding examples for most topics that allow the reader to kick-start his own IoT applications, smart services, etc.

Biometrics and Cryptography

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1837682623
Total Pages : 206 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Biometrics and Cryptography by : Sudhakar Radhakrishnan

Download or read book Biometrics and Cryptography written by Sudhakar Radhakrishnan and published by BoD – Books on Demand. This book was released on 2024-06-19 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cryptography has crept into everything, from Web browsers and e-mail programs to cell phones, bank cards, and cars. Shortly, we will see many new exciting applications for cryptography such as radio frequency identification (RFID) tags for anti-counterfeiting. As a consequence of the pervasiveness of crypto algorithms, an increasing number of people must understand how they work and how they can be applied in practice. This book addresses this issue by providing a comprehensive introduction to modern applied cryptography that is equally suited for students and practitioners in industry. Much of the focus is on practical relevance by introducing most crypto algorithms that are used in modern real-world applications. In addition to crypto algorithms, attention is also given to important cryptographic protocols, modes of operation, security services, and key establishment techniques. Timely topics include lightweight ciphers, which are optimized for constrained applications. In today’s fast-paced world, security and convenience are paramount. Biometrics, the science of identifying individuals based on their unique physical or behavioral traits, offers a solution that is both secure and convenient. From fingerprint scanners on smartphones to facial recognition software at airports, biometrics is rapidly becoming an integral part of our daily lives. But what exactly is biometrics, and how does it work? This book delves into the fascinating world of biometrics, exploring its history, applications, and the latest technological advancements. You’ll discover how biometrics can be used to verify identity, control access, and even detect fraud. Whether you’re a security professional, a technology enthusiast, or simply curious about the future of personal identification, this book is for you.

Privacy in a Digital, Networked World

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Author :
Publisher : Springer
ISBN 13 : 3319084704
Total Pages : 419 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Privacy in a Digital, Networked World by : Sherali Zeadally

Download or read book Privacy in a Digital, Networked World written by Sherali Zeadally and published by Springer. This book was released on 2015-10-13 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive textbook/reference presents a focused review of the state of the art in privacy research, encompassing a range of diverse topics. The first book of its kind designed specifically to cater to courses on privacy, this authoritative volume provides technical, legal, and ethical perspectives on privacy issues from a global selection of renowned experts. Features: examines privacy issues relating to databases, P2P networks, big data technologies, social networks, and digital information networks; describes the challenges of addressing privacy concerns in various areas; reviews topics of privacy in electronic health systems, smart grid technology, vehicular ad-hoc networks, mobile devices, location-based systems, and crowdsourcing platforms; investigates approaches for protecting privacy in cloud applications; discusses the regulation of personal information disclosure and the privacy of individuals; presents the tools and the evidence to better understand consumers’ privacy behaviors.

Smart Medical Data Sensing and IoT Systems Design in Healthcare

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Author :
Publisher : IGI Global
ISBN 13 : 1799802620
Total Pages : 288 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Smart Medical Data Sensing and IoT Systems Design in Healthcare by : Chakraborty, Chinmay

Download or read book Smart Medical Data Sensing and IoT Systems Design in Healthcare written by Chakraborty, Chinmay and published by IGI Global. This book was released on 2019-09-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT Systems Design in Healthcare is an essential reference source that focuses on robust and easy solutions for the delivery of medical information from patients to doctors and explores low-cost, high-performance, highly efficient, deployable IoT system options in healthcare systems. Featuring research on topics such as hospital management systems, electronic health records, and bio-signals, this book is ideally designed for technologists, engineers, scientists, clinicians, biomedical engineers, hospital directors, doctors, nurses, healthcare practitioners, telemedical agents, students, and academicians seeking coverage on the latest technological developments in medical data analysis and connectivity.