Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model

Purposing to lessen malware propagation, this paper proposes optimal control measures for a susceptible-carrier-infectious-recovered-susceptible (SCIRS) epidemiological model formed by a system of ordinary differential equations. By taking advantage of real-world data related to the number of reported cybercrimes in Japan from 2012 to 2017, an optimal control problem is formulated to minimize the number of infected devices in a cost-effective way. The existence and uniqueness of the results related to the optimality system are proved. Overall, numerical simulations show the usefulness of the proposed control strategies in reducing the spread of malware infections.- Fundação para a Ciência e Tecnologia, Grant/Award Number: UID/MAT/04106/2019 and UID/CEC/00319/201

Modelización Matemática de la propagación de malware: Un nuevo enfoque basado en la seguridad de la información

[ES] En esta tesis se estudian modelos que simulan la propagación del malware. Uno de los objetivos de estos modelos es prever si una epidemia desaparece o permanece a lo largo del tiempo. Para ello se realiza un estudio de la estabilidad del modelo y se calcula el número reproductivo básico, denotado por R0. Para estudiar la estabilidad se usan los valores propios de las matrices Jacobianas, las funciones de Liapunov y el enfoque geométrico, mientras que para obtener el número reproductivo básico se utiliza el método de la siguiente generación. De este modo, se obtiene que la epidemia desaparece si R0 es menor o igual a 1 y la epidemia se mantiene si R0 > 1, entre otras propiedades. Haciendo un análisis de estos modelos se han propuesto tres mejoras en esta tesis: 1. La creación de una familia de modelos que tiene en cuenta el compartimento de los portadores, es decir, aquellos dispositivos que están infectados pero el malware no les afecta. 2. El estudio del número reproductivo básico en varias variables. 3. La redefinición de los parámetros de los modelos teniendo en cuenta las características del malware

On the Optimal Control of a Malware Propagation Model

An important way considered to control malware epidemic processes is to take into account security measures that are associated to the systems of ordinary differential equations that governs the dynamics of such systems. We can observe two types of control measures: the analysis of the basic reproductive number and the study of control measure functions. The first one is taken at the beginning of the epidemic process and, therefore, we can consider this to be a prevention measure. The second one is taken during the epidemic process. In this work, we use the theory of optimal control that is associated to systems of ordinary equations in order to find a new function to control malware epidemic through time. Specifically, this approach is evaluate on a particular compartmental malware model that considers carrier devices.This research has been partially supported by Ministerio de Ciencia, Innovación y Universidades (MCIU, Spain), Agencia Estatal de Investigación (AEI, Spain), and Fondo Europeo de Desarrollo Regional (FEDER, UE) under project with reference TIN2017-84844-C2-2-R (MAGERAN) and the project with reference SA054G18 (MASEDECID) supported by Consejería de Educación (Junta de Castilla y León, Spain). J.D. Hernández Guillén is supported by University of Salamanca (Spain) and Banco Santander under a doctoral grant

VI Workshop on Computational Data Analysis and Numerical Methods: Book of Abstracts

The VI Workshop on Computational Data Analysis and Numerical Methods (WCDANM) is going to be held on June 27-29, 2019, in the Department of Mathematics of the University of Beira Interior (UBI), Covilhã, Portugal and it is a unique opportunity to disseminate scientific research related to the areas of Mathematics in general, with particular relevance to the areas of Computational Data Analysis and Numerical Methods in theoretical and/or practical field, using new techniques, giving especial emphasis to applications in Medicine, Biology, Biotechnology, Engineering, Industry, Environmental Sciences, Finance, Insurance, Management and Administration. The meeting will provide a forum for discussion and debate of ideas with interest to the scientific community in general. With this meeting new scientific collaborations among colleagues, namely new collaborations in Masters and PhD projects are expected. The event is open to the entire scientific community (with or without communication/poster)