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Listing 7.7 A health questionnaire expressed in XML (Questionnaire.xml). (Continued)

In signature-based ID, signatures or attributes that characterize an attack are stored for reference. Then, when data about events is acquired from host audit logs or network packet monitoring, the data is compared with the attack signature database. If there is a match, a response is initiated. These systems use a database of previous attacks and known system vulnerabilities to look for current attempts to exploit these vulnerabilities; they trigger an alarm if the attempt is found. This IDS mechanism is more common than behaviorbased ID. This approach does have a weakness, however: the failure to characterize attacks that are slow and extend over a long period of time. To identify these types of attacks, large amounts of information must be held for extended time periods. Another issue with signature-based IDS is that they only detect attack signatures that are stored in their database. A new type of attack will not be in the signature database and, therefore, will not be detected.

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Review team, Public might project managers include worldwide use or limited use to enterprise intranet or other security boundaries Public operation

The probability that the channel is busy happens when at least one station transmits during a time slot, denoted by pb , and is given by

ISO 9000-3 Guidelines for the Application of ISO 9001 to the Development,

Table 14-1 lists some notable damp starts; these form some of the best-known names in their fields.

16-11.VBS set tool = CreateObject( memory.stats ) ram = tool.Mem_phys_total avail = tool.Mem_phys_avail needed = tool.Mem_page_total - tool.Mem_page_avail msg = Your System has & MB(ram) & RAM installed. & vbCr if avail=0 then msg = msg & This is not enough! Your system currently _ & borrows & MB(needed) & from the file system. else msg = msg & Currently, your system doesn t need additional _ & memory. In fact, & MB(avail) & RAM is currently _ & unused! end if MsgBox msg, vbInformation function MB(bytes) MB = FormatNumber(bytes/1024^2,1) & MB end function

max max max Tts,nol + max Tts,ol , Tnts , max max Tts + Tnts ,

Other datatypes are included within the XSD specification that are equally as important as primitive datatypes. These datatypes are, by necessity, derived from the primitive datatypes. Table 4.2 shows some of the more commonly used derived datatypes. Many of the data types shown in Table 4.2 will help us control our element definitions, as shown in the following paragraphs. Datatypes like xsd:positiveInteger or xsd:language provide a level of detail not present in the primitive datatypes. As with our definition in Listing 4.3, which uses primitive datatypes, Listing 4.5 contains a data model (shown in Figure 4.2) that will enable us to create an instance document utilizing some datatypes. With our schema built, let s look at Listing 4.6 for samples that correspond to these datatypes. Primitive and derived datatypes are the only official datatypes defined in XML Schema Part 2: Datatypes. They certainly are not the only choices for using datatypes within your schemas. You can also define your own.

Improving network throughput by avoiding transmission in a low-quality channel is taken a step further in some CEA algorithms by setting their performance objective in terms of fairness in bandwidth sharing. The shared bandwidth can be the raw channel bandwidth that is consumed by all transmissions, or the effective bandwidth that results in successful transmissions. When the effective bandwidth is considered in fair sharing, ensuring strict fairness potentially contradicts the basic idea of CEA because more transmissions will have to be scheduled for a low-quality channel, so that a fair number of successful transmissions can be achieved after a suf cient number of retransmissions. As such, there are also CEA algorithms that look beyond strict fairness in bandwidth sharing and trade the strict fairness requirement for better overall network throughput as long as the fairness falls within an acceptable limit. Although fairness and throughput are important, there are other CEA algorithms that set their performance objectives as providing QoS in terms of packet delay guarantees to time-sensitive traf c with deadlines. There are also CEA algorithms with the performance objectives of providing differentiation in QoS guarantees.

Mar-06

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