Research on a Dynamic Virus Propagation Model to Improve Smart Campus Security

Wang, Lei; Yao, Changhua; Yang, Yuqi; Yu, Xiaohan

doi:10.1109/access.2018.2817508

Cited by 14 publications

(8 citation statements)

References 13 publications

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“…Such models assess the risks and the propagation of failures in complex systems of different natures. This approach is widely used in solving the problems of cyber-physical systems [1,2], computing systems [3,4], epidemiology [5,6], as well as other subject areas.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Shiroky

Kalashnikov

2021

Mathematics

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This paper deals with the problem of managing the risks of complex systems under targeted attacks. It is usually solved by using Defender–Attacker models or similar ones. However, such models do not consider the influence of the defending system structure on the expected attack outcome. Our goal was to study how the structure of an abstract system affects its integral risk. To achieve this, we considered a situation where the Defender knows the structure of the expected attack and can arrange the elements to achieve a minimum of integral risk. In this paper, we consider a particular case of a simple chain attack structure. We generalized the concept of a local risk function to account for structural effects and found an ordering criterion that ensures the optimal placement of the defending system’s elements inside a given simple chain structure. The obtained result is the first step to formulate the principles of optimally placing system elements within an arbitrarily complex network. Knowledge of these principles, in turn, will allow solving the problems of optimal allocation of resources to minimize the risks of a complex system, considering its structure.

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Section: Introductionmentioning

confidence: 99%

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Shiroky

Kalashnikov

2021

Mathematics

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“…Entretanto, preocupam-se sobre como fazê-lo. A literatura também enfatiza a importância do smart campus, bem como, a emergência do tema (WANG et al, 2018;XIA et al, 2018). Trata-se um modelo novo, onde as tecnologias estão sendo testadas em diversas áreas do campus (TORRES-SOSPEDRA et al, 2015;ROMANO et al, 2016;DE ANGELIS et al, 2015;DE SÁ et al, 2016;BANDARA et al, 2016).…”

Section: Resultados Esperados Do Smart Campusunclassified

“…Recentemente, o smart campus se tornou um tópico de pesquisa importante, porque a rede do campus é uma instalação básica. Ele deve ser estruturado por redes rápidas, fortes e seguras no campus (WANG et al, 2018) e é uma nova etapa na criação de tecnologias de informação em faculdades e universidades. Suas características incluem onipresença de alta velocidade da Internet, Internet das Coisas, interconexão contínua e consciência ambiental, ampla popularização e aplicação de terminais inteligentes e aprendizagem colaborativa aberta no ambiente de pesquisa e de trabalho.…”

Section: Smart Campus: Um Conceito Recenteunclassified

Smart Campus No Brasil: A Percepção Dos Gestores Das Ifes

Bandeira

Neto

2020

Perspectivas em Gestão & Conhecimento

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O objetivo desta pesquisa foi de investigar a percepção dos gestores das instituições federais de ensino superior do Brasil sobre o conceito e a criação de um smart campus. Os últimos vinte anos apresentaram uma evolução na área das tecnologias da informação e da comunicação, que vem promovendo importantes mudanças na forma de trabalho das pessoas, no transporte, na comunicação, na educação, no setor industrial etc. O smart campus é um conceito emergente, que se originou no conceito de smart cities, o qual aplica nas cidades as referidas tecnologias, com o objetivo de enfrentar os desafios e as oportunidades cotidianos. Nesse contexto, o campus é visto como uma cidade e enfrenta problemas similares aos de uma cidade convencional. Trata-se de uma pesquisa exploratória de abordagem quantitativa. A pesquisa foi realizada com gestores de 27 instituições, durante o Fórum Nacional de Pró-Reitores de Planejamento e de Administração das Instituições Federais de Ensino Superior (FORPLAD). Foram analisadas seis dimensões sobre o smart campus: importância; conhecimento dos gestores sobre smart campus; estrutura da instituição; gestão; equipe e resultados esperados do smart campus. Trata-se de um tema de pesquisa recente, e isso se reflete nos resultados, pois a maioria dos gestores desconhecem o conceito, porém tem uma percepção geral muito positiva sobre a criação do smart campus em suas instituições. Os estudos sobre smart campus se concentram nas áreas de tecnologia, todavia podem ser uma oportunidade de pesquisa para a área da Administração, focando, sobretudo, estudos a respeito da governança do smart campus.

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“…• Some elaborately set infection probabilities according to previous works,e.g. [8], [10]. Such probabilities are general in practice, so we call them normal infection probabilities;…”

Section: Simulation and Resultsmentioning

confidence: 99%

On Modeling Malware Propagation in Interest-Based Overlapping Communities

et al. 2019

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Interest-based communities, where users may have diversified interests and consequently cause communities overlapping, exist extensively in social networks. However, this will inevitably introduce more opportunities for malware spreading, whose propagation model is fundamentally different from that in currently widely-studied contact-based social networks. To address this issue, we firstly investigate the basic differences between interest-based communities and contact-based social networks. Then, the problem is formulated, and two malware propagation models in interest-based overlapping communities are put forward, one for early propagation stage and another for general propagation stage respectively. The proposed models fully consider the characters of such environment and reveal the malware spreading rules of different propagation stages in randomly overlapping interest communities. Moreover, the models are transformed into lightweight computational complexity modes so as to be easily utilized in practice. Finally, our models are verified with simulations which are based on a real-world dataset from YouTube interest communities, showing the analytical results match the simulation results very well. INDEX TERMS Malware propagation, Interest-based communities, overlapping communities, immunity.

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Research on a Dynamic Virus Propagation Model to Improve Smart Campus Security

Cited by 14 publications

References 13 publications

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Smart Campus No Brasil: A Percepção Dos Gestores Das Ifes

On Modeling Malware Propagation in Interest-Based Overlapping Communities

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