A Human Flesh Search Model Based on Multiple Effects

Nian, Fuzhong; Diao, Hongyuan

doi:10.1109/tnse.2019.2931943

Cited by 25 publications

(4 citation statements)

References 47 publications

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“…If we want to hinder HFS, we must reduce the efficiency of search, propagation, and evolution of HFS, because the interest of users will gradually shift from HFS over time. When no netizen pays attention to HFS, it will stop [101].…”

Section: Modeling and Simulation Issues Of Hfsmentioning

confidence: 99%

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How to respond to emerging threats of cyberspace security via social engineering? A novel paradigm to solve cyberspace security issues

Lin¹

2022

Preprint

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Cybersecurity researchers always ignore the “people” behind the issues when dealing with cyberspace security issues. The human and technological aspects of cyberspace security must be simultaneously addressed to enable a secure cyber environment. Social engineering is a discipline whose research object is people, and the combination of social engineering and cyberspace security can provide new solution ideas for lots of cyberspace security issues. This paper attempts to answer the question —— “How to solve cyberspace security issues via social engineering?” We briefly review existing frameworks for social engineering attacks and pro?pose a novel, recursive, and iterative framework for social engineering attacks in cyberspace. The existing research achievements of combination of social engineering and cyberspace security were reviewed in the order of cyber personality, hacker psychology, human flesh search, and social engineering defense. To answer this question, we summarized four “guidelines” for using social engineering. Finally, we look ahead, give our thoughts, and discuss answers of the question and future research. It is aimed at getting more researchers of cyberspace security and social science to pay attention to this field.

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Section: Modeling and Simulation Issues Of Hfsmentioning

confidence: 99%

“…The parameters {α, µ, γ, β, λ} controlling the SIR model will be static until the next T. The model similar to the SIR model is the SIS+SIR model proposed in literature [101], which is shown in figure 12. β(T) is the propagation rate in the SIS+SIR model, which is defined as…”

Section: Modeling and Simulation Issues Of Hfsmentioning

confidence: 99%

How to respond to emerging threats of cyberspace security via social engineering? A novel paradigm to solve cyberspace security issues

Lin¹

2022

Preprint

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“…In recent years, the number of online social network activities has greatly expanded in scope and volume, opening new opportunities for public exposure [1][2][3][4] . A specific individual search (SIS) is a type of group behavior initiated on the internet based on a popular social event, in which multiple internet users collect and screen relevant pieces of information to find a specific individual [5][6][7] . Hundreds of SIS incidents are launched every day, but most of these incidents cannot evoke enough responses.…”

Section: Introductionmentioning

confidence: 99%

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model

Shi

Fei

Sun

et al. 2023

Tsinghua Sci. Technol.

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In this paper, we introduce a long-term follow-up specific individual searching (SIS) model. This model introduces the concept of node search contributions by considering the characteristics of the network structure. A node search contribution indicates the ability of a certain node to correctly guide the search path and successfully complete an SIS. The influencing factors of node search contributions have three components: the individual influence index, attribute similarity, and node search willingness. On the basis of node search contributions and the PeopleRank idea, this paper proposes an SIS model based on node search contribution values and conducts comparison experiments with several mainstream SIS algorithms in three aspects: the search failure rate, the minimum number of search hops, and the search size. The experimental results verify the advanced nature and operability of the model proposed in this paper, which presents theoretical and practical significance to the quantitative study of the SIS process.

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“…The information spreading model evolved from the COVID-19 spreading model (SI, SIR, SIRS, SIS) ( van den and Watmough, 2000 , DALEY and KENDALL, 1965 , Ren and Wang, 2014 , Boguñá and Castellano, 2013 , Song et al, 2002 , Wen-Jie and Xing-Yuan, 2013 ). Through extensive research on the spreading dynamics of complex networks, it is found that the structural characteristics and propagation mechanism of networks have great influence on the threshold of information burst ( Tunc and Shaw, 2014 , Zhang et al, 2015 , Pastor-Satorras and Vespignani, 2001 , Shi et al, 2020 , Nian and Diao, 2019 , Chao et al, 2014 , Xu et al, 2015 , Guo, 2012 ). On the one hand, there is evidence that the heterogeneity of level distribution reduces the prevalence threshold ( Boguñá and Castellano, 2013 ), but the Heterogeneity of the edge weight suppresses the outbreak of popularity ( Wang et al, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

The fluctuation analysis of public opinion energy: Modeling social group opinion base on the event of social networks

Shi

Wangq

2022

Intelligent Systems with Applications

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A Human Flesh Search Model Based on Multiple Effects

Cited by 25 publications

References 47 publications

How to respond to emerging threats of cyberspace security via social engineering? A novel paradigm to solve cyberspace security issues

How to respond to emerging threats of cyberspace security via social engineering? A novel paradigm to solve cyberspace security issues

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model

The fluctuation analysis of public opinion energy: Modeling social group opinion base on the event of social networks

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