Affiliation:
1. School of Engineering, Science and Technology, Universidad del Rosario, Carrera 6#12C-16, Bogotá, 111 711, Colombia
2. Faculty of Computer Science, University of Murcia, Edificio 32, Campus de Espinardo, Murcia, 30 100, Spain
Abstract
Over the last few decades, the Internet has brought about a myriad of benefits to almost every aspect of our daily lives. However, malware attacks have also widely proliferated, mainly aiming at legitimate network users, resulting in millions of dollars in damages if proper protection and response measures are not settled and enforced. In this context, the paper at hand proposes MalSEIRS, a novel dynamic model, to predict malware distribution in a network based on the SEIRS epidemiological model. As a result, the time-dependent rates of infection, recovery, and loss of immunity enable us to capture the complex dynamism of malware spreading behavior, which is influenced by a variety of external circumstances. In addition, we describe both offensive and defensive techniques, based on the proposed MalSEIRS model, through extensive experimentation, as well as disclosing real-life malware campaigns that can be better understood by using the suggested model.
Subject
Multidisciplinary,General Computer Science
Cited by
2 articles.
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