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Wanlei Zhou | 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
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advances in Web-Based Learning -- ICWL 2003 : Second International Conference, Melbourne, Australia, August 18-20, 2003, Proceed
Wanlei Zhou (ed.); Paul Nicholson (ed.); Brian Corbitt (ed.); Joseph Fong (ed.)
Springer (2003)
Pehmeäkantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advances in Web-Based Learning – ICWL 2021 - 20th International Conference, ICWL 2021, Macau, China, November 13–14, 2021, Proce
Wanlei Zhou; Yi Mu
Springer Nature Switzerland AG (2021)
Pehmeäkantinen kirja
54,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Distributed Network Systems : From Concepts to Implementations
Weijia Jia; Wanlei Zhou
Springer (2004)
Kovakantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Distributed and Parallel Computing - 6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3P
Michael Hobbs; Andrzej Goscinski; Wanlei Zhou
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Distributed Network Systems
Weijia Jia; Wanlei Zhou
SPRINGER VERLAG GMBH (2008)
Pehmeäkantinen kirja
64,20
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Algorithms and Architectures for Parallel Processing, Part I : 11th International Conference, ICA3PP 2011, Melbourne, Australia,
Yang Xiang (ed.); Alfredo Cuzzocrea (ed.); Michael Hobbs (ed.); Wanlei Zhou (ed.)
Springer (2011)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Algorithms and Architectures for Parallel Processing, Part II - 11th International Conference, ICA3PP 2011, Workshops, Melbourne
Yang Xiang; Alfredo Cuzzocrea; Michael Hobbs; Wanlei Zhou
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Cyberspace Safety and Security - 4th International Symposium, CSS 2012, Melbourne, Australia, December 12-13, 2012, Proceedings
Yang Xiang; Javier Lopez; C.-C. Jay Kuo; Wanlei Zhou
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Algorithms and Architectures for Parallel Processing - 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27,
Xiang-he Sun; Wenyu Qu; Ivan Stojmenovic; Wanlei Zhou; Zhiyang Li; Hua Guo; Geyong Min; Tingting Yang; Yulei Wu; L Liu
Springer International Publishing AG (2014)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Delay Tolerant Networks
Longxiang Gao; Shui Yu; Tom H. Luan; Wanlei Zhou
Springer (2015)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Distributed Network Systems : From Concepts to Implementations
Weijia Jia; Wanlei Zhou
Springer (2014)
Pehmeäkantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Differential Privacy and Applications
Tianqing Zhu; Gang Li; Wanlei Zhou; Philip S. Yu
Springer (2017)
Kovakantinen kirja
129,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Location Privacy in Mobile Applications
Bo Liu; Wanlei Zhou; Tianqing Zhu; Yong Xiang; Kun Wang
Springer (2018)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Differential Privacy and Applications
Tianqing Zhu; Gang Li; Wanlei Zhou; Philip S. Yu
Springer (2018)
Pehmeäkantinen kirja
129,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Algorithms and Architectures for Parallel Processing - 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27,
Xiang-he Sun; Wenyu Qu; Ivan Stojmenovic; Wanlei Zhou; Zhiyang Li; Hua Guo; Geyong Min; Tingting Yang; Yulei Wu; L Liu
Springer International Publishing AG (2014)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Adversarial Machine Learning - Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Aneesh Sreevallabh Chivukula; Xinghao Yang; Bo Liu; Wei Liu; Wanlei Zhou
Springer Nature Switzerland AG (2023)
Kovakantinen kirja
147,10
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Adversarial Machine Learning - Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Aneesh Sreevallabh Chivukula; Xinghao Yang; Bo Liu; Wei Liu; Wanlei Zhou
Springer Nature Switzerland AG (2024)
Pehmeäkantinen kirja
147,10
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Network Simulation and Evaluation : Second International Conference, NSE 2023, Shenzhen, China, November 22-24, 2023, Proceeding
Zhaoquan Gu (ed.); Wanlei Zhou (ed.); Jiawei Zhang (ed.); Guandong Xu (ed.); Yan Jia (ed.)
Springer (2024)
Pehmeäkantinen kirja
126,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Network Simulation and Evaluation : Second International Conference, NSE 2023, Shenzhen, China, November 22-24, 2023, Proceeding
Zhaoquan Gu (ed.); Wanlei Zhou (ed.); Jiawei Zhang (ed.); Guandong Xu (ed.); Yan Jia (ed.)
Springer (2024)
Pehmeäkantinen kirja
126,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
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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Tampere
Malicious Attack Propagation and Source Identificationzoom
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