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Bo Yu | Akateeminen Kirjakauppa

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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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Graph Neural Networks for Natural Language Processing - A Survey
Lingfei Wu; Yu Chen; Kai Shen; Xiaojie Guo; Hanning Gao; Shucheng Li; Jian Pei; Bo Long
now publishers Inc (2023)
Pehmeäkantinen kirja
100,30
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ostoskoriin kpl
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Sinopticon
Nian Yu; Zhao HaiHong; Regina Kanyu Wang; Wang JinKang; Tang Fei; Anna Wu; Han Song; Jiang Bo; Bao Shu
Rebellion Publishing Ltd. (2021)
Pehmeäkantinen kirja
9,30
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Milu de xiaohai
Jin Bo; Rong Yu
Tiantian (2021)
Kovakantinen kirja
29,40
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High Temperature Electrolysis in Large-Scale Hydrogen Production
Yu Bo; Xu Jingming
Nova Science Publishers Inc (2010)
Pehmeäkantinen kirja
94,00
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ostoskoriin kpl
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Cyber Security : 15th International Annual Conference, CNCERT 2018, Beijing, China, August 14–16, 2018, Revised Selected Papers
Xiaochun Yun (ed.); Weiping Wen (ed.); Bo Lang (ed.); Hanbing Yan (ed.); Li Ding (ed.); Jia Li (ed.); Yu Zhou (ed.)
Springer (2019)
Pehmeäkantinen kirja
49,60
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ostoskoriin kpl
Siirry koriin
Cell Separation : Fundamentals, Analytical and Preparative Methods
Ashok Kumar (ed.); Igor Yu Galaev (ed.); Bo Mattiasson (ed.)
Springer (2010)
Pehmeäkantinen kirja
172,80
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ostoskoriin kpl
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Differential Geometry For Physicists
Bo-yu Hou; Bo-yuan Hou
World Scientific Publishing Co Pte Ltd (1997)
Kovakantinen kirja
126,10
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ostoskoriin kpl
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New Models and Methods in Dynamic Portfolio Optimization
Lijun Bo; Xiang Yu
Imperial College Press (2025)
Kovakantinen kirja
137,30
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ostoskoriin kpl
Siirry koriin
Macroporous Polymers - Production Properties and Biotechnological/Biomedical Applications
Bo Mattiasson; Ashok Kumar; Igor Yu. Galeaev
Taylor & Francis Inc (2009)
Kovakantinen kirja
229,20
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ostoskoriin kpl
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Cell Separation - Fundamentals, Analytical and Preparative Methods
Ashok Kumar; Igor Yu Galaev; Bo Mattiasson
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007)
Kovakantinen kirja
172,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Relational Data Clustering - Models, Algorithms, and Applications
Bo Long; Zhongfei Zhang; Philip S. Yu
Taylor & Francis Ltd (2010)
Kovakantinen kirja
129,10
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ostoskoriin kpl
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Turbulent Drag Reduction by Surfactant Additives
Feng-Chen Li; Bo Yu; Jin-Jia Wei; Yasuo Kawaguchi
John Wiley & Sons Inc (2012)
Kovakantinen kirja
168,00
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ostoskoriin kpl
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Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Pape
Longbing Cao; Yifeng Zeng; Bo An; Andreas L. Symeonidis; Vladimir Gorodetsky; Frans Coenen; Philip S. Yu
Springer International Publishing AG (2015)
Pehmeäkantinen kirja
40,00
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ostoskoriin kpl
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Modification of Resin Matrices using Polyimide Oligomers
Doreen Itenyo; Yu Xinhai; Chen Bo
LAP Lambert Academic Publishing (2013)
Pehmeäkantinen kirja
92,10
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ostoskoriin kpl
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Distributed Fusion Estimation for Sensor Networks with Communication Constraints
Wen-An Zhang; Bo Chen; Haiyu Song; Li Yu
Springer Verlag, Singapore (2016)
Kovakantinen kirja
97,90
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ostoskoriin kpl
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Stability Analysis of Markovian Jump Systems
Yu Kang; Yun-Bo Zhao; Ping Zhao
Springer (2017)
Kovakantinen kirja
97,90
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ostoskoriin kpl
Siirry koriin
Galloping Instability to Chaos of Cables
Albert C. J. Luo; Bo Yu
Springer (2018)
Kovakantinen kirja
97,90
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ostoskoriin kpl
Siirry koriin
Packet-Based Control for Networked Control Systems : A Co-Design Approach
Yun-Bo Zhao; Guo-Ping Liu; Yu Kang; Li Yu
Springer (2017)
Kovakantinen kirja
97,90
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ostoskoriin kpl
Siirry koriin
Carbon Dioxide Reduction through Advanced Conversion and Utilization Technologies
Yun Zheng; Bo Yu; Jianchen Wang; Jiujun Zhang
Taylor & Francis Ltd (2019)
Kovakantinen kirja
175,00
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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 jouluksi viimeistään 13.11.2024
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Tapiola
Turku
Tampere
Malicious Attack Propagation and Source Identificationzoom
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