The spreading of computer viruses on time-varying networks.
Social networks have gradually turned into prime means for the spreading of computer viruses, especially of those that employ social engineering deception strategies. Yet the study of their propagation typically neglects the temporal nature of social interactions, as well as that the susceptibility of online users is not homogenous. Conversely, the study of individual users' susceptibility to cyber threats neglects their connections. Here, we address these limitations with a theoretical framework that captures both susceptibility to deception and the time-varying nature of social networks. Our analysis identifies where the coupling of susceptibility and time-varying connectivity favors the spreading of a virus. Comparison between our analytical and simulation results for two types of realistic viruses shows that accurate representation of the spreading power of computer viruses in social networks requires taking into account the networks' dynamics and their interplay with the characteristics of the users.
Publisher URL: http://arxiv.org/abs/1901.02801
Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.
Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.