عنوان

Malicious attack propagation and source identification /

3030021793

9783030021795

3030021785

9783030021788

Malicious attack propagation and source identification /

[Book]

Jiaojiao Jiang, Sheng Wen, Bo Liu, Shui Yu, Yang Xiang, Wanlei Zhou.

Cham :

Springer,

[2019]

1 online resource

Advances in information security ;

73

Includes bibliographical references.

1 Introduction -- 2 Preliminary of Modeling Malicious Attack Propagation -- 3 User Influence in the Propagation of Malicious Attacks -- 4 Restrain Malicious Attack Propagation -- 5 Preliminary of Identifying Propagation Sources -- 6 Source Identification Under Complete Observations: A Maximum Likelihood (ML) Source Estimator -- 7 Source Identification Under Snapshots: A Sample Path Based Source Estimator -- 8 Source Identification Under Sensor Observations: A Gaussian Source Estimator -- 9 Comparative Study and Numerical Analysis -- 10 Identifying Propagation Source in Time-varying Networks -- 11 Identifying Multiple Propagation Sources -- 12 Identifying Propagation Source in Large-scale Networks -- 13 Future Directions and Conclusion.

0

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 issues to make rumor source identification more effective and applicable in the real world.

Springer Nature

com.springer.onix.9783030021795

Malicious attack propagation and source identification.

9783030021788

Computer networks-- Security measures.

Computer security.

Data encryption (Computer science)

Communications engineering-- telecommunications.

Computer networks-- Security measures.

Computer security.

Computer security.

COMPUTERS-- Security-- General.

Data encryption (Computer science)

Network hardware.

COM-- 053000

UR

UR

Jiang, Jiaojiao

Liu, Bo

Wen, Sheng

Xiang, Yang

Yu, Shui

Zhou, Wanlei

20200823073920.0

pn

[Book]

Y