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It is extremely unlikely that all users of Java-enabled browsers will consider the security implications of surfing a site before each Web page access If the mobile code paradigm is going to work, security concerns should be addressed in the language of the content itself That way, users will not need to worry too much about security Java's designers took this task to heart One of their fundamental concerns was making the use of Java transparent, automatic, and above all, safe As a result, Java was developed with key security issues in mind It is clear that the Java development environment attempts to address the security problems introduced by the idea of dynamically downloading and running external, untrusted code To what extent Java succeeds in this task is a subject of debate Security concerns have always been one of the major technical stumbling blocks to achieving safe mobile code.

discussion for the LRD case only However, an essentially identical procedure, estimator de nition, and properties hold in the self-similar case For other kinds of scaling also, magnitude parameters can be de ned and estimated in a similar way; however, this will not be discussed here We brie y summarize the results of Veitch and Abry [74, 75] for a twodimensional joint estimator ^ ; cf of long-range dependence One of the powerful a ^ ^ properties of a is that its statistics are entirely independent of the speci c form of the mother wavelet, depending on the coef cients of the linear regression and the amount of data nj at each scale It is this feature that allows an explicit expression for its variance to be obtained independently of the wavelet basis.

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It is clear that ^ this property is shared by a vj yj , the unbiased estimator of the intercept a of the same linear regression de ning a (The coef cients vj are given by vj Sjj Sj j = s2 SSjj Sj2 , cf Eq (223)) From Eq (216) it is apparent j that whereas a is simply the slope in the logscale diagram, the magnitude parameter ^ cf is related to the intercept, being essentially proportional to 2a , a quantity that ^ ^ retains the wavelet independence advantages of a Unfortunately, 2a does not correspond exactly to cf but rather to the dimensionless quantity cf C a; c0 , and an attempt to isolate the former necessarily brings in a wavelet dependence.

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Java took these concerns seriously and made a good effort to protect Web users In this chapter, we present the original (or base) Java security model and discuss how it mitigates some of the risks that applets introduce The original Java security model presented in this chapter implements a sandbox that imposes strict controls on what certain kinds of Java programs can and cannot do To the extent that the sandbox works, it allows a user to run untrusted code safely As we discussed in 1, "Mobile Code and Security: Why Java Security Is Important," an alternative approach to handling mobile code is to run only code that is trusted ActiveX controls, for example, are omnipotent and should be run only when you completely.

It is advantageous, however, to study cf C as the largest ``wavelet-independent part'' cf , d ^ ^ ^ and to de ne subsequently the estimator of cf as cf cf C=C, where C is an estimator of the integral C a; c0 , which will not be detailed here It can be shown ^ ^ [75] that C has small variance, so that the properties of cf closely resemble those of ^ d d cf C More speci cally, de ne cf C p2a , where p is a wavelet-independent bias correcting (and variance reducing) factor given by p G nj =2 exp c nj =2 vj ; G vj nj =2.

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