On the malware propagation in heterogeneous networks

Alexeev, Alexander; Henshel, Diane S.; Cains, Mariana; Sun, Qiang

doi:10.1109/wimob.2016.7763252

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Epidemiological modeling is in another academic silo addressing heterogeneity in time zones [21], software and hardware components [22], or modeling the location of the human as an important component of device interaction [23]. Models of malware that have included human behavior have provided large-scale generalizations in terms of modeling agents [24].…”

Section: Motivationmentioning

confidence: 99%

“…Studies show that adolescents differ from other populations in legitimate technology use [36], with a younger population (18)(19)(20)(21)(22)(23)(24)(25) being the most susceptible to online deception, despite being described as the most technologically enhanced generation [31]. Women are traditionally more risk averse [37] and therefore the extrapolation is that female populations would perceive a greater threat from computer security risks.…”

Section: A Health Resilience Modelmentioning

confidence: 99%

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Measuring Human Resilience in the Face of the Global Epidemiology of Cyber Attacks

Camp¹,

Grobler²,

Jang-Jaccard³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Computer security is a complex global phenomenon where different populations interact, and the infection of one person creates risk for another. Given the dynamics and scope of cyber campaigns, studies of local resilience without reference to global populations are inadequate. In this paper, we describe a set of minimal requirements for implementing a global epidemiological infrastructure to understand and respond to large-scale computer security outbreaks. We enumerate the relevant dimensions, the applicable measurement tools, and define a systematic approach to evaluate cyber security resilience. From the experience in conceptualizing and designing a cross-national coordinated phishing resilience evaluation, we describe the cultural, logistic, and regulatory challenges to this proposed public health approach to global computer assault resilience. We conclude that mechanisms for systematic evaluations of global attacks and the resilience against those attacks exist. Coordinated global science is needed to address organised global ecrime.

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Section: Motivationmentioning

confidence: 99%

Section: A Health Resilience Modelmentioning

confidence: 99%

Measuring Human Resilience in the Face of the Global Epidemiology of Cyber Attacks

Camp¹,

Grobler²,

Jang-Jaccard³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

New Approaches of Epidemic Models to Simulate Malware Propagation

Guillén

Rey

Encinas

2017

International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

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A stochastic and dynamic approach in simulating spread processess of malwareof automated energy facilities and their systems

Khaidurov¹

2022

Sist. dosl. energ.

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The rapid development of information technologies in today's conditions makes it possible to control and automate processes and enterprises, institutions to ensure the correct and efficient operation of various energy systems. The mathematical apparatus used in the software for such objects and systems makes it possible to manage their states in various regular conditions. Sometimes unpredictable factors arise in the operation of energy facilities, which can lead to global catastrophes not only for a particular region, but also for all of humanity is the deliberate damage to the logic of the software that controls all the processes of the power system is one of these factors, for the purpose of terror or other malicious purposes. Such factors require the construction of models with which it is possible to predict the scale of risk and extent of damage, as well as to obtain a general estimate of the costs of protecting power system software against such malicious actions. An optimization mathematical model and a corresponding description of the implementation of a complex software tool for modeling the spread of malicious software (malware) in modern energy facilities and systems is the result of the work. The developed optimization mathematical model is based on the use of methods of optimization of functions and functionals with restrictions in the form of systems of ordinary differential equations with given corresponding initial conditions. To develop process simulation software modules based on the PSIDR mathematical model, stochastic population methods, models and algorithms were used to determine the control parameter at each time step. The use of such optimization methods and algorithms makes it possible to solve more complex tasks. It requires a procedure for predicting the spread of processes of various origins in general. The developed mathematical model consists in the minimization of costs for the purchase of antiviruses for the protection of relevant systems in energy facilities and systems. Keywords: malware, prediction, optimization, stochastic model, deterministic model, cellular automaton, energy objects

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On the malware propagation in heterogeneous networks

Cited by 3 publications

References 9 publications

Measuring Human Resilience in the Face of the Global Epidemiology of Cyber Attacks

Measuring Human Resilience in the Face of the Global Epidemiology of Cyber Attacks

New Approaches of Epidemic Models to Simulate Malware Propagation

A stochastic and dynamic approach in simulating spread processess of malwareof automated energy facilities and their systems

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