Measuring inconsistency in a network intrusion detection rule set based on Snort

In this preliminary study, we investigate how inconsistency in a network intrusion detection rule set can be measured. To achieve this, we first examine the structure of these rules which are based on Snort and incorporate regular expression (Regex) pattern matching. We then identify primitive elements in these rules in order to translate the rules into their (equivalent) logical forms and to establish connections between them. Additional rules from background knowledge are also introduced to make the correlations among rules more explicit. We measure the degree of inconsistency in formulae of such a rule set (using the Scoring function, Shapley inconsistency values and Blame measure for prioritized knowledge) and compare the *This is a revised and significantly extended version of [1]

A Longitudinal Study of Cognitive Abilities in Williams Syndrome

This longitudinal study assessed cognition in Williams syndrome (WS) over a 5 year period using the same test battery over the two occasions of testing. The aim was to explore whether absolute levels of ability and relative cognitive strengths and weaknesses remain consistent over time. 27 participants with WS were assessed using the Woodcock Johnson Test of Cognitive Ability-Revised (WJ-R COG, Woodcock Johnson, 1989, 1990). Results suggested some developmental progress over time, but at a slower rate than typically developing peers. Cognitive strengths and weaknesses were consistent, at least on those abilities assessed using the WJ-R COG.18 page(s