Weekly period Daily period Average type Expected entropy Insignificant Insignificant Continuous Low in Java

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Weekly period Daily period Average type Expected entropy Insignificant Insignificant Continuous Low
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Figure 11.3 The weekly rhythm of the paging data show that there is a definite daily rhythm, but again, it is drowned in the huge variances due to random influences on the system, and is therefore of no use in an analytical context
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Number of privileged processes: the number of processes running system provides an indication of the number of forked processes or active threads which are carrying out the work of the system. This should be relatively constant, with a weak periodicity indicating responses to local users' requests. This is separated from the processes of ordinary users, since one expects the behaviour of privileged (root/Administrator) processes to follow a different pattern. See Figure 11.4.
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Weekly period Daily period Average type Expected entropy Weak Weak Discrete Low
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Number of non-privileged processes: this measure counts not only the number of processes but provides an indication of the range of tasks being performed by users, the number of users by implication. This measure has a strong periodic quality, relatively quiescent during weekends, rising sharply on Monday to a peak on Tuesday, followed by a gradual decline towards the weekend again. See Figures 11.5 and 11.6. nexus weekly rootp nexus
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Figure 11.4 The weekly average of privileged (root) processes shows a constant daily pulse, steadily on week days. During weekends there is far less activity, but wider variance. This might be explained by assuming that root process activity is dominated by service requests from users
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Figure 11.5 The daily average of non-privileged (user) processes shows an indisputable, strong daily rhythm. The variation of the graph is now greater than the uncertainty reflected in the error bars
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Weekly period Daily period Average type Expected entropy
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Maximum percentage CPU used in processes: this is an experimental measure which characterizes the most CPU expensive process running on the host at a given moment. The significance of this result is not clear. It seems to have a marginally periodic behaviour, but basically inconclusive. The error bars are much larger than the variation of the average, but the magnitude of the errors also increases with the increasing average, thus; while for all intents and purposes this measure's average must be considered irrelevant, a weak signal can be surmised. The peak value of the data might be important however, since a high max-cpu task will significantly load the system. See Figures 11.7 and 11.8.
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Weekly period Daily period Average type Expected entropy Marginal/none Marginal/none Peak value only High
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Figure 11.6 The weekly average of non-privileged (user) processes shows a constant daily pulse, quiet at the weekends, strong on Monday, rising to a peak on Tuesday and falling off again towards the weekend Users
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Number logged on: this follows the classic pattern of low activity during the weekends, followed by a sharp rise on Monday, peaking on Tuesday and declining steadily towards the weekend again.
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Weekly period Daily period Average type Expected entropy Strong Strong Continuous Undetermined
Total number: this value should clearly be constant except when new user accounts are added. The average value has no meaning, but any change in this value can be significant from a security perspective.
Weekly period Daily period Average type Expected entropy Irrelevant Irrelevant Absolute value Minimal
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Figure 11.7 The daily average of maximal CPU percentage shows no visible rhythm, if we remove the initial anomalous point then there is no variation, either in the average or its standard deviation (error bars) which justifies the claim of a periodicity
Average time spent logged on per user: can signify patterns of behaviour, but has a questionable relevance to the behaviour of the system.
Weekly period Daily period Average type Expected entropy Undetermined Undetermined Continuous Undetermined
Load average: this is the system's own back-of-the-envelope calculation of resource usage. It provides a continuous indication of load, but on an exaggerated scale. It remains to be seen whether any useful information can be obtained from this value; its value can be quite disordered (high entropy).