Epidemic state analysis of computers under malware attacks

Kondakci, Suleyman

doi:10.1016/j.simpat.2008.02.011

Cited by 22 publications

(16 citation statements)

References 5 publications

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“…These models can also be classified attending to the nature and the mathematical tools on which they are based. In this sense, we find deterministic models (see, for example, ) and stochastic models (see, for example, ). Deterministic models are usually based on differential equations or difference equations.…”

Section: Mathematical Models For Simulating the Malware Propagationmentioning

confidence: 71%

Mathematical modeling of the propagation of malware: a review

Rey

2015

Security Comm Networks

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In the present work, we offer a critical review of the mathematical models that have been proposed to date to simulate malware propagation in a network of computers or mobile devices. We analyze the models proposed determining the deficits and possible alternatives for improving them. Mathematical modeling of the propagation of malware: a review Real problem Working model Mathematical model Computational model Results and conclusions Simplification Representation Implementation Simulation Analysis Figure 2. A simple scheme of the mathematical modeling process. Security Comm. Networks (2015) Mathematical modeling of the propagation of malware: a review Security Comm. Networks (2015)Mathematical modeling of the propagation of malware: a review Security Comm. Networks (2015)

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Section: Mathematical Models For Simulating the Malware Propagationmentioning

confidence: 71%

Mathematical modeling of the propagation of malware: a review

Rey

2015

Security Comm Networks

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“…Kondakci presented a stochastic worm propagation model [30] using Markovian process to analyze epidemic states of computer system. This model helps to study the dynamics of state transition during worm propagation to estimate infection probability and rate of recoverability of infected hosts.…”

Section: Related Workmentioning

confidence: 99%

Worm Propagation with Differential Infectivity under Quarantine Control Strategy

Paul¹,

Mishra²

2016

IJSIA

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“…They concluded that there is a threshold of rate of infection from which we can speak of an epidemic. Thirdly, Kondakci [11] used a stochastic model to analyse the epidemic states of infected computers and determine the state probabilities of susceptible populations. He shows that there is more than one state transition.…”

Section: Related Workmentioning

confidence: 99%

A clinical study of risk factors related to malware infections

Lévesque

Nsiempba

Fernandez

et al. 2013

Proceedings of the 2013 ACM SIGSAC Conference on Computer &Amp; Communications Security - CCS '13

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The success of malicious software (malware) depends upon both technical and human factors. The most security conscious users are vulnerable to zero-day exploits; the best security mechanisms can be circumvented by poor user choices. While there has been significant research addressing the technical aspects of malware attack and defense, there has been much less research reporting on how human behavior interacts with both malware and current malware defenses.In this paper we describe a proof-of-concept field study designed to examine the interactions between users, antivirus (anti-malware) software, and malware as they occur on deployed systems. The 4-month study, conducted in a fashion similar to the clinical trials used to evaluate medical interventions, involved 50 subjects whose laptops were instrumented to monitor possible infections and gather data on user behavior. Although the population size was limited, this initial study produced some intriguing, non-intuitive insights into the efficacy of current defenses, particularly with regards to the technical sophistication of end users. We assert that this work shows the feasibility and utility of testing security software through long-term field studies with greater ecological validity than can be achieved through other means.

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Epidemic state analysis of computers under malware attacks

Cited by 22 publications

References 5 publications

Mathematical modeling of the propagation of malware: a review

Mathematical modeling of the propagation of malware: a review

Worm Propagation with Differential Infectivity under Quarantine Control Strategy

A clinical study of risk factors related to malware infections

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