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Also, if a user leaves your company, you have to visit every single network device to remove their authentication However, this problem can be turned into a bene t if you wish to provide authentication to users for subsets of your network devices This can be quite dif cult if you use a centralized AAA mechanism (see below) Often, this kind of requirement leads operators to develop Perl or Expect scripts to manage the local accounts on all the network devices This implies that the usernames and passwords are recorded somewhere on a workstation or server, which is likely to impose further security risks For larger networks, it is invariably better to use a centralized AAA mechanism Similar problems exist with local accounting If all your accounting is local to each network device, then it is not easy to analyse and correlate events occurring on several devices.

answering the relevant questions than when answering any control question Also a GKT paradigm is used in fMRI research but this paradigm has other limitations ( 12) It can only be used in situations where some critical details about the examinee s alleged activities are known In addition, a GKT can only work if guilty examinees actually recognise the critical information when it is presented to them during the examination, and when innocent examinees cannot gure out what the critical information is Achieving this can be a daunting task Finally, sometimes the critical information is leaked to examinees prior to the examination If this happens, a GKT cannot be conducted fMRI tests based on a GKT are equally vulnerable to these limitations as traditional GKT polygraph examinations.

Second, the accuracy rates reported in laboratory polygraph examinations were also high (s 11 and 12) and comparable with the accuracy rates of the fMRI studies This raises doubts about the added value of fMRI examinations compared to traditional polygraph examinations Third, if fMRI examinations were to be used in security threat investigations to detect potential terrorists or spies, accuracy levels would need to be very high, due to the low base rate of terrorists and spies in a given sample ( 11) Suppose that a given sample of 1000 people contains 10 spies, and suppose that the fMRI test can discriminate between truths and lies with 90% accuracy Such an fMRI test would detect most (nine) but not all spies.

or divorce process between the child s parents (Issues 6 to 8 on the Validity Checklist). In other words, the strategy used by these professionals resembled to some extent the approach used by SVA experts.

It would further incorrectly classify approximately 99 innocent people as spies (10% of 990 non-spies), and the fMRI test outcomes cannot further discriminate between the nine spies and the 99 innocent individuals In other words, a lie detection tool with 90% accuracy is not accurate enough to detect a few terrorists and spies in a large sample Fourth, in the fMRI studies where accuracy rates were reported the researchers identi ed speci c brain activity models that involved simultaneous activity of different areas of the brain, and could classify truths and lies with reasonable accuracy on the basis of these brain activity models However, their ndings demonstrate that their models work in their speci c deception scenarios, but do not demonstrate that they will work in other deception scenarios.

However, with local accounting, it is obvious to which device the logs relate With centralized accounting, it is necessary to include some information in the accounting packets to identify the device to which it refers There are various logging/accounting mechanisms with many being based upon the System Logging (Syslog) protocol This provides a exible set of features to log information generated locally and possibly transmit that information to an external server Syslog can record information at various levels of detail on a scale from 0 (emergency messages relating to a total failure of the network element) through to 7 (debug level messages) It is also possible to record information relating to particular functions of the network device..