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For each attack and each variable, whose 10-minute data sample under the inactive condition and attack data sample for the entire duration of the attack condition are obtained from Run 1 of data collection, the Mann-Whitney test in Statistica is performed using the inactive data sample and the attack data sample to determine if there is a signi cant difference in the mean feature of the data, as described in Section 81 If a signi cant mean difference is present, the sample averages of two data samples as the mean estimates of two populations, respectively, are compared to identify if the attack causes an increase or a decrease in the mean from the inactive condition to the attack condition A mean increase is denoted by M+, and a mean decrease is denoted by M The variable name along with either M+ or M is also noted for a mean shift characteristic of the attack This procedure of applying the Mann-Whitney test to two samples of inactive data and attack data is repeated for each variable under each attack As a result, a list of the mean shift characteristics, which are de ned by the data variables along with an indication of M+ or M for each of these variables, is obtained for each attack Similarly, a list of the mean shift characteristics is obtained for each of the two normal use activities, web browsing and text editing, by applying the Mann-Whitney test to two samples of 10-minute inactive data and 10-minute normal use data from Run 2 for text editing or Run 3 for web browsing for each variable For each attack, each mean shift characteristic of the attack is examined to see if the same characteristic (the same variable with the same mean shift) also manifests as the mean shift characteristic of either text editing or web browsing If so, this mean shift characteristic of the attack is removed from the initial list of the mean shift characteristics for the attack Removing such attack characteristics which also appear in a normal use activity produces the nal list of the mean shift characteristics for the attack Figure 81 summarizes the procedure of discovering the mean shift data characteristics for the attacks Although the above procedure focuses on he mean shift attack characteristics, the mean shift characteristics for the text editing and the web browsing can also be uncovered in a similar manner Ultimately, instead of classifying the activities into two categories of attack and normal use, each individual activity can be considered as a distinctive category to allow activity detection and identi cation for purposes other than cyber attack detection For example, corporations may be interested in identifying user activities that are not allowed in the work environment. 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