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Presence and IM are made possible by the packet nature of the Internet and may merit dedicated books on their own. We will attempt to give some basic notions that help in understanding the new SIP-based IM services and their potential. The IETF model for a presence service is shown in Figure 13.1. The model is meant to help the understanding of the basics and is not a standard by itself. Note the distinction in the model for presence between the user agents (UA) of the principals, shown here as people, the Presence UA and the Watcher UA, and Presentity and Watcher functions that may be networkbased elements or co-located with the respective UAs. The presentity is an application that manages the presence information and presents it to the presence service. The Presence service is an abstraction that communicates with the presentity and watcher using the Presence Protocol, the SIMPLE protocol in our case. The presentity information is displayed to the watcher on the UA as a buddy or contact. We will use here the term buddy so as to avoid confusion with the contact as in the Contact address. A watcher usually has a buddy list and one can see their status at a glance.

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guidance to the Internet community on combatting reported incidents. The Vulnerability Handling Team receives reports on suspected computer and network vulnerabilities, veri es and analyzes the reports, and works with the Internet community to understand and develop countermeasures to those vulnerabilities. The Artifacts Analysis Team focuses on the code used to carry out cyberattacks (e.g., computer viruses), analyzing the code and nding ways to combat it.

A cell s dependents consist of all formula cells that use the cell. Again, the formula cell can be a direct dependent or an indirect dependent.

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The superego is thus concerned with moral issues and comprises the conscience and the ego-ideal. Within the superego, the conscience makes an individual feel guilty or ashamed of behaving badly, while the ego-ideal makes an individual feel proud of good behaviour. Freud believed that the superego developed at the age of 5 or 6 years as a result of the resolution of the Oedipus complex in boys and the Electra complex in girls. Children identlfy with the same-sex parent, and incorporate elements of their parents moral standards within their superego.

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The proposed Encapsulating Security Payload (ESP) header (Figure 6-24) is designed to provide confidentiality,data origin authentication, connectionless integrity, an anti-replay service, and limited traffic flow confidentiality.The service or services provided depend on the security association and its implementation. The presence of the ESP header is identified by a value of 50 in the preceding header s Next Header field. This header contains seven fields, some of which are mandatory, and some of which are optional, depending on the security association.

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Naive Bayes is a very fast algorithm with accuracy that is adequate for many applications. It does not, however, operate on continuous variables. The Naive portion of its name derives from this algorithm s assumption that every input is independent. For example, the probability of a married person purchasing a bike is computed from how often married and bike buyer appear together in the training data without considering any other columns. The probability of a new case is just the normalized product of the individual probabilities. Several viewers display data from the nished model: Dependency Network: Displays both input and predictable columns as nodes with arrows indicating what predicts what; a simple example is shown in Figure 76-7. Move the slider to the bottom to see only the most signi cant predictions. Click on a node to highlight its relationships. Attribute Pro les: Similar in function to the Cluster Pro les Viewer, this shows all variables and predictable outcomes in a single matrix. Each cell of the matrix is a graphical representation of that variable s distribution for a given outcome. Click on a cell (chart) to see the full distribution for that outcome/variable combination in the Mining Legend, or hover over a cell for the same information in a tooltip. Attribute Characteristics: This viewer displays the list of characteristics associated with the selected outcome. Attribute Discrimination: This viewer is similar to the Characteristics Viewer, but it shows which characteristics favor one outcome versus another.

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