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Shui Yu | Akateeminen Kirjakauppa

Haullasi löytyi yhteensä 39 tuotetta
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Malicious Attack Propagation and Source Identification
Jiaojiao Jiang; Sheng Wen; Bo Liu; Shui Yu; Yang Xiang; Wanlei Zhou
Springer (2018)
Kovakantinen kirja
126,80
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ostoskoriin kpl
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Stratigraphy Around the Permian–Triassic Boundary of South China
Wei-hong He (ed.); G. R. Shi (ed.); Jian-xin Yu (ed.); Dao-Liang Chu (ed.); Ke-Xin Zhang (ed.); Hai-Shui Jiang (ed.); Yang
Springer (2024)
Kovakantinen kirja
126,80
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ostoskoriin kpl
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Security and Privacy in Federated Learning
Yu Shui Yu; Cui Lei Cui
Springer Nature B.V. (2023)
Pehmeäkantinen kirja
104,80
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ostoskoriin kpl
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Chang`an Avenue and the Modernization of Chinese Architecture
Shuishan Yu
MV - University of Washington Press (2013)
Kovakantinen kirja
64,30
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ostoskoriin kpl
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Distributed Denial of Service Attack and Defense
Shui Yu
Springer (2013)
Pehmeäkantinen kirja
49,60
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ostoskoriin kpl
Siirry koriin
Networking for Big Data
Shui Yu; Xiaodong Lin; Jelena Misic; Xuemin Shen (Sherman)
Taylor & Francis Inc (2015)
Kovakantinen kirja
157,00
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ostoskoriin kpl
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Big Data Concepts, Theories, and Applications
Shui Yu (ed.); Song Guo (ed.)
Springer (2016)
Kovakantinen kirja
138,50
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ostoskoriin kpl
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A Business Plan for Setting Up a Necktie Specialty Shop in Hong Kong
Shui-Yu Marion Chan; 陳萃如
Open Dissertation Press (2017)
Pehmeäkantinen kirja
104,50
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A Business Plan for Setting Up a Necktie Specialty Shop in Hong Kong
Shui-Yu Marion Chan; 陳萃如
Open Dissertation Press (2017)
Kovakantinen kirja
123,00
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ostoskoriin kpl
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Big Data Concepts, Theories, and Applications
Shui Yu (ed.); Song Guo (ed.)
Springer (2018)
Pehmeäkantinen kirja
138,50
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ostoskoriin kpl
Siirry koriin
Networking for Big Data
Shui Yu; Xiaodong Lin; Jelena Misic; Xuemin Shen (Sherman)
Taylor & Francis Ltd (2019)
Pehmeäkantinen kirja
76,30
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ostoskoriin kpl
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Security and Privacy in Digital Economy : First International Conference, SPDE 2020, Quzhou, China, October 30 – November 1, 202
Shui Yu (ed.); Peter Mueller (ed.); Jiangbo Qian (ed.)
Springer (2020)
Pehmeäkantinen kirja
97,90
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Security and Privacy in Federated Learning
Shui Yu; Lei Cui
Springer Verlag, Singapore (2023)
Kovakantinen kirja
138,50
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ostoskoriin kpl
Siirry koriin
Tools for Design, Implementation and Verification of Emerging Information Technologies : 17th EAI International Conference, Trid
Shui Yu (ed.); Bruce Gu (ed.); Youyang Qu (ed.); Xiaodong Wang (ed.)
Springer (2023)
Pehmeäkantinen kirja
59,30
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ostoskoriin kpl
Siirry koriin
Security and Privacy in Federated Learning
Shui Yu; Lei Cui
Springer Verlag, Singapore (2024)
Pehmeäkantinen kirja
138,50
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ostoskoriin kpl
Siirry koriin
Delay Tolerant Networks
Longxiang Gao; Shui Yu; Tom H. Luan; Wanlei Zhou
Springer (2015)
Pehmeäkantinen kirja
49,60
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Evidence-based Clinical Chinese Medicine - Volume 2: Psoriasis Vulgaris
Claire Shuiqing Zhang; Jingjie Yu
World Scientific Publishing Co Pte Ltd (2016)
Kovakantinen kirja
63,80
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ostoskoriin kpl
Siirry koriin
Evidence-based Clinical Chinese Medicine - Volume 2: Psoriasis Vulgaris
Claire Shuiqing Zhang; Jingjie Yu
World Scientific Publishing Co Pte Ltd (2016)
Pehmeäkantinen kirja
40,40
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ostoskoriin kpl
Siirry koriin
Pathological Brain Detection
Shui-Hua Wang; Yu-Dong Zhang; Zhengchao Dong; Preetha Phillips
Springer (2018)
Kovakantinen kirja
49,60
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ostoskoriin kpl
Siirry koriin
Pathological Brain Detection
Shui-Hua Wang; Yu-Dong Zhang; Zhengchao Dong; Preetha Phillips
Springer (2019)
Pehmeäkantinen kirja
49,60
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ostoskoriin kpl
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Malicious Attack Propagation and Source Identification
126,80 €
Springer
Sivumäärä: 192 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2018, 01.12.2018 (lisätietoa)
Kieli: Englanti
Tuotesarja: Advances in Information Security 73

This book covers and makes four major contributions: 1) analyzing and surveying the pros and cons of current approaches for identifying rumor sources on complex networks; 2) proposing a novel approach to identify rumor sources in time-varying networks; 3) developing a fast approach to identify multiple rumor sources; 4) proposing a community-based method to overcome the scalability issue in this research area. These contributions enable rumor source identification to be applied effectively in real-world networks, and eventually diminish rumor damages, which the authors rigorously  illustrate in this book.

 

In the modern world, the ubiquity of networks has made us vulnerable to various risks. For instance, viruses propagate throughout the Internet and infect millions of computers. Misinformation spreads incredibly fast in online social networks, such as Facebook and Twitter. Infectious diseases, such as SARS, H1N1 or Ebola, have spread geographically and killed hundreds of thousands people. In essence, all of these situations can be modeled as a rumor spreading through a network, where the goal is to find the source of the rumor so as to control and prevent network risks. So far, extensive work has been done to develop new approaches to effectively identify rumor sources. However, current approaches still suffer from critical weaknesses. The most serious one is the complex spatiotemporal diffusion process of rumors in time-varying networks, which is the bottleneck of current approaches. The second problem lies in the expensively computational complexity of identifying multiple rumor sources. The third important issue is the huge scale of the underlying networks, which makes it difficult to develop efficient strategies to quickly and accurately identify rumor sources. These weaknesses prevent rumor source identification from being applied in a broader range of real-world applications. This book aims to analyze and address these issuesto make rumor source identification more effective and applicable in the real world.

 

The authors propose a novel reverse dissemination strategy to narrow down the scale of suspicious sources, which dramatically promotes the efficiency of their method. The authors then develop a Maximum-likelihood estimator, which can pin point the true source from the suspects with high accuracy. For the scalability issue in rumor source identification, the authors explore sensor techniques and develop a community structure based method. Then the authors take the advantage of the linear correlation between rumor spreading time and infection distance, and develop a fast method to locate the rumor diffusion source. Theoretical analysis proves the efficiency of the proposed method, and the experiment results verify the significant advantages of the proposed method in large-scale networks.

 

This book targets graduate and post-graduate students studying computer science and networking.  Researchers and professionals working in network security, propagation models and other related topics, will also be interested in this book.



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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 5-6 viikossa. Tilaa tuote jouluksi viimeistään 13.11.2024
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