The mobile phone virus

Dwan, Berni

doi:10.1016/s1353-4858(04)00105-9

Cited by 4 publications

(3 citation statements)

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“…But he deems that a method always can be found to cope with the security issue caused by the mobile phone virus. Dwan takes the mobile phone virus “Cabir” as an example to emphasize the lack of security mechanism and expects to take certain security measures from both mobile phones' software and hardware [ 22 ]. Jamaluddin et al state the damage of the mobile phone virus and predict that the mobile phone virus will develop along the path of the computer virus and cause serious security problems [ 23 ].…”

Section: Related Workmentioning

confidence: 99%

“…It is hard to simulate the real propagation environment of mobile phones virus. So the simulation experiments are carried out like other researchers [ 22 – 30 ]. Our simulation is a discrete-time simulation and well embodies the propagation of viruses in which node data are obtained on a time interval every second.…”

Section: Numerical and Simulation Experimentsmentioning

confidence: 99%

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Modeling the Propagation of Mobile Phone Virus under Complex Network

Yang

Wei

Guo³

et al. 2014

The Scientific World Journal

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Mobile phone virus is a rogue program written to propagate from one phone to another, which can take control of a mobile device by exploiting its vulnerabilities. In this paper the propagation model of mobile phone virus is tackled to understand how particular factors can affect its propagation and design effective containment strategies to suppress mobile phone virus. Two different propagation models of mobile phone viruses under the complex network are proposed in this paper. One is intended to describe the propagation of user-tricking virus, and the other is to describe the propagation of the vulnerability-exploiting virus. Based on the traditional epidemic models, the characteristics of mobile phone viruses and the network topology structure are incorporated into our models. A detailed analysis is conducted to analyze the propagation models. Through analysis, the stable infection-free equilibrium point and the stability condition are derived. Finally, considering the network topology, the numerical and simulation experiments are carried out. Results indicate that both models are correct and suitable for describing the spread of two different mobile phone viruses, respectively.

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Section: Related Workmentioning

confidence: 99%

Section: Numerical and Simulation Experimentsmentioning

confidence: 99%

Modeling the Propagation of Mobile Phone Virus under Complex Network

Yang

Wei

Guo³

et al. 2014

The Scientific World Journal

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“…, mobile phone viruses and malware can cause serious damages, which can be divided into five typical types, including economic loss, inconvenience, functionality, privacy, and mobile network disturbance. The first mobile phone virus, Cabir, which appeared in 2004, infected mobile phones running on Symbian S60 operating system via Bluetooth . Since then, more and more mobile phone viruses and malware have appeared.…”

Section: Introductionmentioning

confidence: 99%

Smartphone security: understanding smartphone users' trust in information security management

Jang

Chang

Tsai

2013

Security Comm Networks

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Owing to the rapid advancement of technologies, today's mobile phones (e.g., smartphones) can not only fulfill users' basic requirements for communication purposes but also serve as powerful pervasive devices with various valuable functions for users. With wide and close Internet accessibility, smartphones nowadays inevitably suffer security threats and information security management (ISM) issues like common computers do. In this research, information security related trust issues are investigated through a user‐based empirical study. Our research project aims to study the relationships between smartphone users' computer literacy, network literacy, knowledge on mobile phone viruses, and trust in ISM principles (i.e., confidentiality, integrity, and availability). The study results indicate that smartphone users' network literacy positively influence their knowledge on mobile phone viruses, whereas users' computer literacy is not significantly associated with their knowledge on mobile phone viruses. Moreover, smartphone users' knowledge on mobile phone viruses would significantly affect their trusts in three ISM principles. The validated research model and corresponding findings can be referenced by business executives and ISM decision makers in electronic commerce (e‐commerce) for making favorable tactics to catch the revolutionary benefits offered by effective ISM policies in the ubiquitous computing environment. Copyright © 2013 John Wiley & Sons, Ltd.

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Malware comes of age: The arrival of the true computer parasite

Furnell¹,

Ward²

2004

Network Security

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The mobile phone virus

Cited by 4 publications

References 0 publications

Modeling the Propagation of Mobile Phone Virus under Complex Network

Modeling the Propagation of Mobile Phone Virus under Complex Network

Smartphone security: understanding smartphone users' trust in information security management

Malware comes of age: The arrival of the true computer parasite

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