Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection

In the last years the number of malware Apps that the users download to their devices has risen. In this paper, we propose an agent-based model to quantify the Android malware infection evolution, modeling the behavior of the users and the different markets where the users may download Apps. The model predicts the number of infected smartphones depending on the type of malware. Additionally, we will estimate the cost that the users should afford when the malware is in their devices. We will be able to analyze which part is more critical: the users, giving indiscriminate permissions to the Apps or not protecting their devices with antivirus software, or the Android platform, due to the vulnerabilities of the Android devices that permit their rooted. We focus on the community of Valencia, Spain, although the obtained results can be extrapolated to other places where the number of Android smartphones remains fairly stable.

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MACRO- AND MICROPRUDENTIAL POLICIES: SWEET AND LOWDOWN IN A CREDIT NETWORK AGENT-BASED MODEL

Macroeconomic Dynamics ◽

10.1017/s1365100519000634 ◽

2019 ◽

pp. 1-20

Author(s):

Ermanno Catullo ◽

Federico Giri ◽

Mauro Gallegati

Keyword(s):

Systemic Risk ◽

Financial Stability ◽

Agent Based Model ◽

Agent Based ◽

Macroprudential Policies ◽

The Stability ◽

The Individual ◽

The Cost ◽

Individual Choices ◽

Credit Network

The paper presents an agent-based model reproducing a stylized credit network that evolves endogenously through the individual choices of firms and banks. We introduce in this framework a financial stability authority in order to test the effects of different prudential policy measures designed to improve the resilience of the economic system. Simulations show that a combination of micro- and macroprudential policies reduces systemic risk but at the cost of increasing banks’ capital volatility. Moreover, the agent-based methodology allows us to implement an alternative meso regulatory framework that takes into consideration the connections between firms and banks. This policy targets only the more connected banks, increasing their capital requirement in order to reduce the diffusion of local shocks. Our results support the idea that the mesoprudential policy is able to reduce systemic risk without affecting the stability of banks’ capital structure.

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The cost-effectiveness of conservation auctions in the presence of asset specificity: An agent-based model

Land Use Policy ◽

10.1016/j.landusepol.2020.104907 ◽

2021 ◽

Vol 102 ◽

pp. 104907

Author(s):

Elsa Cardona Santos ◽

Hugo Storm ◽

Sebastian Rasch

Keyword(s):

Cost Effectiveness ◽

Asset Specificity ◽

Agent Based Model ◽

Agent Based ◽

Conservation Auctions ◽

The Cost

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Cost–benefit of limited isolation and testing in COVID-19 mitigation

Scientific Reports ◽

10.1038/s41598-020-75640-2 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Andreas Eilersen ◽

Kim Sneppen

Keyword(s):

Short Duration ◽

Disease Transmission ◽

Social Groups ◽

Cost Benefit ◽

Mitigation Strategies ◽

Disease Spread ◽

Agent Based Model ◽

Social Contacts ◽

Agent Based ◽

The Cost

Abstract The international community has been put in an unprecedented situation by the COVID-19 pandemic. Creating models to describe and quantify alternative mitigation strategies becomes increasingly urgent. In this study, we propose an agent-based model of disease transmission in a society divided into closely connected families, workplaces, and social groups. This allows us to discuss mitigation strategies, including targeted quarantine measures. We find that workplace and more diffuse social contacts are roughly equally important to disease spread, and that an effective lockdown must target both. We examine the cost–benefit of replacing a lockdown with tracing and quarantining contacts of the infected. Quarantine can contribute substantially to mitigation, even if it has short duration and is done within households. When reopening society, testing and quarantining is a strategy that is much cheaper in terms of lost workdays than a long lockdown. A targeted quarantine strategy is quite efficient with only 5 days of quarantine, and its effect increases when testing is more widespread.

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