The skyrocketing grow rate of new malware brings novel challenges to protect computers and networks. Discerning truly novel malware from variants of known samples is a way to keep pace with this trend. This can be done by grouping known malware in families by similarity and classifying new samples...
01a Articolo in rivista
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The vast majority of today's mobile malware targets Android devices. An important task of malware analysis is the classification of malicious samples into known families. In this paper we propose AndroDFA: an approach to Android malware family classification based on dynamic analysis of resource...
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The optimality system of a quasi-variational inequality can be reformulated as a non-smooth equation or a constrained equation with a smooth function. Both reformulations can be exploited by algorithms, and their convergence to solutions usually relies on the nonsingularity of the Jacobian, or the...
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The network architecture of the human brain contributes in shaping neural activity, influencing cognitive and behavioral processes. The availability of neuroimaging data across the lifespan allows us to monitor how this architecture reorganizes, influenced by processes like learning, adaptation,...
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Complex malware samples feature measures to impede automatic and manual analyses, making their investigation cumbersome. While automatic characterization of malware benefits from recently proposed designs for passive monitoring, the subsequent dissection process still sees human analysts struggling...
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We address the stochastic scheduled service network design problem with quality targets and uncertainty on travel times. This important problem, raising in the tactical planning process of consolidation-based freight carriers, has been little studied up to now. We define the problem considering...
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