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False acceptance can lead to unauthorized access to assets, in cases in which an access control service relies on the biometric mechanism s results. False acceptance can lead to lack of accountability, in cases in which an accounting service such as audit relies on biometric mechanism results. If actor B successfully masquerades as actor A, then actor A is erroneously held accountable for the actions of actor B. False rejection can lead to reduced productivity and increased user frustration. False rejection can also lead to lack of accountability. For example, actor A may take steps to change certain biometric characteristics via surgery with the goal of being falsely rejected as actor A. This may allow him to avoid accountability for an action such as a serious crime. In general, low false acceptance rate (FAR) and low false rejection rate (FRR) are conflicting goals: configuring a biometric mechanism to achieve a very low FAR tends to increase the FRR. Conversely, achieving a very low FRR tends to increase the FAR. When comparing biometric systems, a low FAR is most important when security is the priority. On the other hand, a low FRR is most important when convenience is the priority. [Liu2001] discusses the inverse relation between these two error types.

Some biometric mechanisms cost more than others. Some biometric mechanisms require more equipment and changes to the infrastructure than others. Some biometric mechanisms are less safe than others. Enterprise-wide optimization affects selection of biometric techniques. An enterprise may find it more efficient for example, for cost, training, and maintenance reasons if all I&A domains that select biometrics use the same biometrics technique. For example, an enterprise may decide that the biometrics used in granting physical access to all enterprise facilities throughout the country should use the

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Identification and Authentication (I&A)

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he Canon PowerShot G11 comes loaded with features and controls to make creating awesome still images a snap, but this powerful little camera can handily produce great movies as well. It is very convenient having a capable tool at your ngertips to capture those special moments when video and sound take center stage. Those once-in-a-lifetime events, such as birthday parties, vacation happeings, or a child s discovery of something new, all lend themselves to priceless family memories captured forever by your G11 in moving imagery and sound.

The Relative Strength Index, often shortened to simply RSI, is a study that compares the magnitude of a stock s recent gains to recent losses. The study itself is a single line that is in its own pane, moving up and down between the ranges of 0 (at the bottom) to 100 (at the top). The RSI (Figure 5.25) is very simple to interpret and use: If it drops below 70 (which is marked with a horizontal dashed line), there is a sell signal; and if it goes above 30 (also marked with a dashed horizontal line) there is a buy signal. The path the RSI takes depends completely on the direction and momentum of the security s price. It may bob up and down between the 30 and 70 levels, generating no signals for quite some time. The best RSI indications happen when the study is plainly above or below one of the horizontal lines (Figure 5.26) and makes a decisive move back into the middle range. Unlike slower-moving studies, the RSI is prone to generating many buy and sell signals. In 6, you will learn how to use multiple studies together so they can essentially vote on the predicted direction of a

Systematically review the characteristics of available biometric mechanisms or techniques, and select a mechanism. Several well-known biometrics mechanisms exist. Different mechanisms have different strengths and weaknesses and emphasize different characteristics. Each technique resolves each force to a different degree than the others. The solution provides information about alternative biometric mechanisms that is intended to help differentiate them and to help select the best technique for a given purpose, enterprise, and I&A use. All biometric techniques can be used for verification, but only a few are capable of performing identification, especially in a large population of users or actors. This is because the task of matching a live sample with one designated template is much simpler than finding a template from a large number of possible templates. According to [Ashbourn2000], the only biometric mechanisms with the capability to operate realistically in identification mode are finger image, iris recognition, retinal scan, and, to a lesser degree, facial scan.

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