Автор: Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu Название: Privacy-Preserving in Mobile Crowdsensing ISBN: 9811983143 ISBN-13(EAN): 9789811983146 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using their portable devices, such as smartphones and wearable devices. Commonly, individuals are incentivized to collect data to fulfill a crowdsensing task released by a data requester. This “sensing as a service” elaborates our knowledge of the physical world by opening up a new door of data collection and analysis. However, with the expansion of mobile crowdsensing, privacy issues urgently need to be solved. In this book, we discuss the research background and current research process of privacy protection in mobile crowdsensing. In the first chapter, the background, system model, and threat model of mobile crowdsensing are introduced. The second chapter discusses the current techniques to protect user privacy in mobile crowdsensing. Chapter three introduces the privacy-preserving content-based task allocation scheme. Chapter four further introduces the privacy-preserving location-based task scheme. Chapter five presents the scheme of privacy-preserving truth discovery with truth transparency. Chapter six proposes the scheme of privacy-preserving truth discovery with truth hiding. Chapter seven summarizes this monograph and proposes future research directions. In summary, this book introduces the following techniques in mobile crowdsensing: 1) describe a randomizable matrix-based task-matching method to protect task privacy and enable secure content-based task allocation; 2) describe a multi-clouds randomizable matrix-based task-matching method to protect location privacy and enable secure arbitrary range queries; and 3) describe privacy-preserving truth discovery methods to support efficient and secure truth discovery. These techniques are vital to the rapid development of privacy-preserving in mobile crowdsensing.
Автор: Liu Название: Preserving Privacy Against Side-Channel Leaks ISBN: 3319426427 ISBN-13(EAN): 9783319426426 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains.
First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy.
Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.
Автор: Dengguo Feng Название: Trusted Computing: Principles and Applications ISBN: 3110476045 ISBN-13(EAN): 9783110476040 Издательство: Walter de Gruyter Рейтинг: Цена: 18586.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book summarizes key concepts and theories in trusted computing, e.g., TPM, TCM, mobile modules, chain of trust, trusted software stack etc, and discusses the configuration of trusted platforms and network connections. It also emphasizes the application of such technologies in practice, extending readers from computer science and information science researchers to industrial engineers.
Автор: Stuart Sumner Название: You: For Sale ISBN: 012803405X ISBN-13(EAN): 9780128034057 Издательство: Elsevier Science Рейтинг: Цена: 5051.00 р. Наличие на складе: Поставка под заказ.
Описание:
Everything we do online, and increasingly in the real world, is tracked, logged, analyzed, and often packaged and sold on to the highest bidder. Every time you visit a website, use a credit card, drive on the freeway, or go past a CCTV camera, you are logged and tracked. Every day billions of people choose to share their details on social media, which are then sold to advertisers.
The Edward Snowden revelations that governments - including those of the US and UK - have been snooping on their citizens, have rocked the world. But nobody seems to realize that this has already been happening for years, with firms such as Google capturing everything you type into a browser and selling it to the highest bidder. Apps take information about where you go, and your contact book details, harvest them and sell them on - and people just click the EULA without caring. No one is revealing the dirty secret that is the tech firms harvesting customers' personal data and selling it for vast profits - and people are totally unaware of the dangers.
You: For Sale is for anyone who is concerned about what corporate and government invasion of privacy means now and down the road. The book sets the scene by spelling out exactly what most users of the Internet and smart phones are exposing themselves to via commonly used sites and apps such as facebook and Google, and then tells you what you can do to protect yourself. The book also covers legal and government issues as well as future trends.
With interviews of leading security experts, black market data traders, law enforcement and privacy groups, You: For Sale will help you view your personal data in a new light, and understand both its value, and its danger.
Автор: Jiafu Wan; Kai Lin; Delu Zeng; Jin Li; Yang Xiang; Название: Cloud Computing, Security, Privacy in New Computing Environments ISBN: 3319696041 ISBN-13(EAN): 9783319696041 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 7th International Conference on Cloud Computing, Security, Privacy in New Computing Environments, CloudComp 2016, and the First EAI International Conference SPNCE 2016, both held in Guangzhou, China, in November and December 2016.The proceedings contain 10 full papers selected from 27 submissions and presented at CloudComp 2016 and 12 full papers selected from 69 submissions and presented at SPNCE 2016. CloudComp 2016 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. SPNCE 2016 focuses on security and privacy aspects of new computing environments including mobile computing, big data, cloud computing and other large-scale environments.
Описание: Data management technology is rapidly progressing, and with it comes the need for stricter rules that ensure the information being collected is handled appropriately.Ensuring Research Integrity and the Ethical Management of Data is an essential resource that examines the best approaches for providing quality research, as well as how to effectively manage that information in a reputable way. Featuring extensive research on relevant topics such as qualitative data collection, data sharing, data misinterpretation, and intellectual property, this scholarly publication is an ideal reference source for academicians, students, and researchers interested in current trends and techniques in ethical research and data management. Topics Covered:The many academic areas covered in this publication include, but are not limited to: Data MisinterpretationData Privacy DataReporting DataSharing Intellectual PropertyPeer Review ProcessQualitative Data CollectionQuantitative Data Processing
Описание: Cyber-attacks are rapidly becoming one of the most prevalent issues globally, and as they continue to escalate, it is imperative to explore new approaches and technologies that help ensure the security of the online community. Beyond cyber-attacks, personal information is now routinely and exclusively housed in cloud-based systems. The rising use of information technologies requires stronger information security and system procedures to reduce the risk of information breaches.Advanced Methodologies and Technologies in System Security, Information Privacy, and Forensics presents emerging research and methods on preventing information breaches and further securing system networks. While highlighting the rising concerns in information privacy and system security, this book explores the cutting-edge methods combatting digital risks and cyber threats. This book is an important resource for information technology professionals, cybercrime researchers, network analysts, government agencies, business professionals, academicians, and practitioners seeking the most up-to-date information and methodologies on cybercrime, digital terrorism, network security, and information technology ethics.
Автор: Richard Chbeir; Bechara Al Bouna Название: Security and Privacy Preserving in Social Networks ISBN: 3709148367 ISBN-13(EAN): 9783709148365 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on a range of expert contributions, this book assesses current approaches and technologies related to the security and privacy of social networks, outlines major challenges and offers perspectives on the direction of future research on the topic.
Название: The dark web : ISBN: 1522531637 ISBN-13(EAN): 9781522531630 Издательство: Turpin Рейтинг: Цена: 58397.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the digital era, the Internet has evolved into a ubiquitous aspect of modern society. With the prominence of the Dark Web, understanding the components of the Internet and its available content has become increasingly imperative.The Dark Web: Breakthroughs in Research and Practice is an innovative reference source for the latest scholarly material on the capabilities, trends, and developments surrounding the secrecy of the Dark Web. Highlighting a broad range of perspectives on topics such as cyber crime, online behavior, and hacking, this book is an ideal resource for researchers, academics, graduate students, and professionals interested in the Dark Web.
Автор: Gao Longxiang, Luan Tom H., Gu Bruce Название: Privacy-Preserving in Edge Computing ISBN: 9811621985 ISBN-13(EAN): 9789811621987 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm.
Автор: Chen, Kai (hong Kong University Of Science And Technology) Yang, Qiang (webank And Hong Kong University Of Science And Technology) Название: Privacy-preserving computing ISBN: 1009299514 ISBN-13(EAN): 9781009299510 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data. This practical introduction for students, researchers, and industry practitioners is the first cohesive and systematic presentation of the field's advances over four decades. The book shows how to use privacy-preserving computing in real-world problems in data analytics and AI, and includes applications in statistics, database queries, and machine learning. The book begins by introducing cryptographic techniques such as secret sharing, homomorphic encryption, and oblivious transfer, and then broadens its focus to more widely applicable techniques such as differential privacy, trusted execution environment, and federated learning. The book ends with privacy-preserving computing in practice in areas like finance, online advertising, and healthcare, and finally offers a vision for the future of the field.
Автор: Chang Wei, Wu Jie Название: Fog/Edge Computing for Security, Privacy, and Applications ISBN: 3030573273 ISBN-13(EAN): 9783030573270 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part I: Overview of Fog/Edge Computing
1. "Confluence of 4G LTE, 5G, fog, and cloud computing and understanding security issues"
Khaldoon Alshouiliy (University of Cincinnati, USA)
Dharma Agrawal (University of Cincinnati, USA)
2. "An overview of the Edge Computing in Modern Digital Age"
Reinaldo Padilha Franзa (University of Campinas- UNICAMP, Brazil)
Ana Carolina Borges Monteiro (University of Campinas- UNICAMP, Brazil)
Rangel Arthur (University of Campinas- UNICAMP, Brazil)
Yuzo Lano (University of Campinas- UNICAMP, Brazil)
Part II: Security in Fog/Edge Computing
3. "Secure Search and Storage Services in Fog/Edge Computing"
Qin Liu (Hunan University, China)
4. "Collaborative Intrusion Detection Schemes in Fog-to-Things Computing"
Abebe Diro (La Trobe University, Australia)
Abdun Mahmood (La Trobe University, Australia)
Naveen Chilamkurti (La Trobe University, Australia)
5. "On the Feasibility of Byzantine Agreement to Secure Fog/Edge Data Management"
Ali Shoker (VORTEX Colab, Portugal)
Hussam Yactine (INESC TEC and Universidade do Minho, Portugal)
Part III: Privacy in Fog/Edge Computing
6. "Privacy Issues in Edge Computing"
Qi Xia (College of William and Mary, USA)
Zeyi Tao (College of William and Mary, USA)
Qun Li (College of William and Mary, USA)
7. "Privacy-preserving Edge Video Analytics"
Miao Hu (Sun Yat-sen University, China)
Yao Fu (Sun Yat-sen University, China)
Di Wu (Sun Yat-sen University, China)
Part IV: Architectural Design in Fog/Edge Computing
8. "Vulnerabilities in Fog/Edge Computing from Architectural Perspectives"
Nhu-Ngoc Dao (Sejong University, South Korea)
Ngoc-Thanh Dinh (Soongsil University, South Korea)
Quoc-Viet Pham (Pusan National University, South Korea)
Trung V. Phan (Technische Universitдt Chemnitz, Germany)
Sungrae Cho (Chung-Ang University, South Korea)
Torsten Braun (University of Bern, Switzerland)
9. "Security and Intelligent Management for Fog/Edge Computing Resources"
Jun Wu (Shanghai Jiao Tong University, China)
10. "Algorithms for NFV-Enabled Multicasting in Mobile Edge Computing"
Zichuan Xu (Dalian University of Technology, China)
Weifa Liang (The Australian National University, Australia)
11. "Blockchain-based Security Services for Fog Computing"
