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To give you the essence of site maps and site map data sources, let s briefly review a few usage scenarios. Suppose you re writing a Web site and your client asks for a sequence of hyperlinks that indicate the location of the page in the site map. In ASP.NET 1.x, you have to create your own infrastructure to hold site map information and render the page location. (Typically, you use a configuration file and a user control.) ASP.NET 2.0 provides richer support for site maps. You start by creating a configuration file named app.sitemap in the root of the Web application. The file describes the relationship between pages on the site. Your next step will depend on the expected output. If the common representation shown in Figure 6-3 (a sequence of hyperlinks with a separator) is what you need, add a NavigationPath control to the page. This control (described in more detail in 8) retrieves the site map and produces the necessary HTML markup. In this simple case, there is no need to resort to a site map data source control. If you need to build a more complex, hierarchical layout for example, a tree-based representation you need the SiteMapDataSource control. The SiteMapDataSource control pumps site map information to a hierarchical data-bound control (the new TreeView control) so it can display the site s structure. Here s an example:

You can mitigate every one of the attacks we have discussed so far by either using better passwords, or managing and operating your network more securely. 13 goes into depth about how to manage and operate the network more securely. Obviously, because password hashes are plaintext equivalent, using strong passwords will not mitigate all the attacks outlined so far. However, it will have a significant impact on many of them. What constitutes a strong password The answer is: a long password! No single factor is more important than length when it comes to password strength. Table 2-3 shows how long a password composed from n characters chosen randomly from a set of 32 characters resists both guessing and cracking attacks.

The chapter has been a whirlwind tour of current XML tools and technologies, along with their related Java APIs. Now that you are familiar with the state and direction of both XML and J2EE , we can begin to use them together to enhance your application architecture. By now, you should be comfortable with viewing XML as a generic metalanguage and understand the relationships between XML, XML parsers, XSLT processors, and XML-based technologies. You should also understand how XML is validated and constrained at high level. Perhaps most importantly, you should see how the various pieces of XML technology fit together to enable a wide

2:

<%@ Page Language="C# %> <html> <body> <form runat="server"> <asp:SiteMapDataSource runat="server ID="MySiteMapSource /> <asp:TreeView runat="server DataSourceId="MySiteMapSource /> </form> </body> </html>

Guessing Resilience in Days 10 331 10,605 339,355 10,859,374 347,499,971 11,119,999,080 355,839,970,558 11,386,879,057,845 Cracking Resilience In Days 0 0 1 27 869 27,800 889,600 28,467,198 910,950,325

Figure 6-4

Summary

As you can tell from Table 2-3, the strength of the password goes up dramatically the longer it gets. A 14-character password composed of randomly chosen symbols from a known 32-character character set resists guessing for more than 31 billion (!) years. Even an 8-character password would be impossible to guess in a reasonable time as long as the attacker cannot rely on heuristics. The 14-character password resists a cracking attack for 2.5 million years, but of course it is still plaintext equivalent, so resistance to cracking is really only relevant in the case of a captured challenge-response sequence. The question, however, that many want answered is how important the character set is in password strength. Obviously, the larger the character set the attacker has to contend with, the stronger the password is. However, the effect is nowhere near as drastic as length. Table 2-4 shows the same data as Table 2-3, but for passwords composed using a character set consisting of 95 characters.

6

Guessing Resilience in Days 7,090 673,551 63,987,310 6,078,794,461 577,485,473,802 54,861,120,011,233 5,211,806,401,067,100 495,121,608,101,375,000 47,036,552,769,630,600,000 Cracking Resilience In Days 1 54 5,119 486,304 46,198,838 4,388,889,601 416,944,512,085 39,609,728,648,110 3,762,924,221,570,450

As Table 2-4 shows, the passwords based on the set of 95 characters are certainly stronger than ones based only on 32. However, a 6-character password from the 95-character set is weaker than an 8-character password from the 32-character set. Realizing that difficulty