Feb 13, 2012 · We show in an ideal static model that only 59% of inferred encounters correspond to actual device copresence. To investigate the effects of ...
It is shown that the statistical properties of scanned encounters differ from actual device encounters in ways which impact malware propagation dynamics, ...
Patterns of human encounters, which are difficult to observe directly, are fundamental to the propagation of mobile malware aimed at infecting devices in ...
Gjergji Zyba's 3 research works with 119 citations, including: Limitations of scanned human copresence encounters for modelling proximity-borne malware.
András Méhes's 3 research works with 152 citations, including: Limitations of scanned human copresence encounters for modelling proximity-borne malware.
Publications. Limitations of scanned human copresence encounters for modelling proximity-borne malware, James Mitchell, Eamonn O'Neill, Gjergji Zyba, Geoffrey M ...
Méhes, P. Johansson,. “Limitations of scanned human copresence encounters for modelling proximity-borne malware“, Proceedings of the 4th International ...
May 8, 2024 · , Per Johansson: Limitations of scanned human copresence encounters for modelling proximity-borne malware. COMSNETS 2012: 1-10; 2011. [c3].
... M. Voelker, Michael Liljenstam, András Méhes, and Per Johansson "Limitations of scanned human copresence encounters for modelling proximity-borne malware ...
Apr 30, 2024 · Limitations of scanned human copresence encounters for modelling proximity-borne malware. COMSNETS 2012: 1-10. [+][–]. 2000 – 2009. FAQ. see FAQ.