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Over longer timescales, palaeoseismic evidence suggests intervals between earthquakes ranging from 100 to 700 years, however these figures reflect a range of thresholds controlling the creation and preservation of evidence at any given site as well as the genuine intervals between earthquakes.
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The remaining intervals of the same width are then constructed outwards from the genuine interval.
Let be the mean of the genuine feature vector, then among the intervals, the genuine interval, which is assigned for the genuine user, is referred to as (3).
The remaining intervals are then constructed equal-probably, that is, with reference to the portion of background distribution captured by the genuine interval.
In [22], Lim et al. proposed dynamic genuine interval search (DGIS) as an improvement of the bit allocation scheme of Chen et al. [23].
This discretization scheme suffers from the same privacy problem as the previous supervised schemes owing to that the genuine interval is constructed based on the user-specific information.
Chen et al. [17] introduced another dynamic bit-allocation approach by considering detection rate (DR) (user probability mass captured by the genuine interval) as their bit-allocation measure.
Chen et al. proposed a similar discretization scheme [14] except that BRGC encoding is adopted; the genuine interval is determined by the likelihood ratio pdf; and the remaining intervals are constructed equal-probably.
This measure, as adopted by Chen et al. in their dynamic bit-allocation scheme [17], is defined as the area under curve of the user pdf enclosed by the genuine interval upon the respective intervals construction in that dimension.
Unfortunately, this leads to potential threats: features obtain higher probabilities in certain quantization intervals than in others, and thus attackers can easily find the genuine interval by continuously guessing the one with the highest probability.
Based on the knowledge that the user pdf is located at the center of the genuine interval, the constructed intervals thus serve as a clue at which the user pdf could be located to the adversary.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com