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So, the way the broker achieves data integrity is by calculating a cryptographic hash and sending it along with the original message. The fund manager on receiving it recalculates the hash value based on the original message received and compares it to the hash value calculated on the broker end. If there is a discrepancy found, then it confirms the message has been tampered with in transit. Of course, you can further strengthen this by using a keyed hash algorithm that uses a symmetric key to encrypt the hash value. The keyed hash algorithm provides both message authenticity and integrity. The popular hash algorithms that are provided by the .NET Framework are Message Digest (MD5) and Secure Hash Algorithm (SHA). The MD5 algorithm produces a 128-bit hash value, whereas SHA supports 160-, 256-, 384-, and 512-bit hash values. SHA provides the hash size of a different length, and the greater the length of a hash size, the more difficult it is to break. Figure 6-20 shows the class layout of hash algorithm classes. HashAlgorithm is the abstract base class that is then derived by concrete classes.

Typical web interfaces are like the ones you ve seen so far in this book. The user navigates through a series of pages to accomplish tasks, like creating entries in catalogs, searching for information, and so on. The interaction paradigm is very simple: a page is presented to the user, the user edits fields and/or clicks a link or a button on the page, and he or she is taken to another page. In between the two page views, the client browser sends an HTTP request to the site, and this request can cause information to be updated, data to be retrieved, and so forth. This sequence (view a page, perform an action on that page, and be redirected to another page) continues until the user is done with whatever he or she is doing. This mode of interaction leaves a lot of room for improvement. It doesn t feel very interactive to users, for obvious reasons. User interactions are broken down into relatively

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Listing 6-3 shows the code that is used by the broker to generate a hash value, which is then verified by the fund manager to ensure that the message has not been tampered with. Listing 6-3. Hash Value Computed for Contract Note Data using System; using System.Text; using System.Security.Cryptography;

In my job as a system administrator, I have come to realize that new bits of kit we bring through the door might have an SSH interface or sometimes support SNMP but will almost always have a web GUI. Very often, this is all they have. Having to click the same combination of buttons in a web browser over and over again to configure a set of devices loses its novelty about 15 seconds in. As a result, one of the most common bits of code I find myself writing is one to interact with various combinations of forms on web-managed devices. Frustratingly, the kinds of techniques described in 7 rarely apply to this problem. DSL routers, bandwidth management boxes, and proprietary firewalls don t tend to have a well-defined XML-RPC or equivalent interface. Thus we have to fall back on simulating a buttonpushing monkey. More specifically, the Ruby way is to create a Net::HTTP (or SSL equivalent)based class for each model/make of device to be administered.

namespace HashAlgo { class Class1 { static void Main(string[] args) { //compute hash using SHA-1 HashAlgorithm hashAlgo = new SHA1Managed(); string contractNote = "<CONTRACTNOTE>" +"<SYMBOL>MSFT</SYMBOL>" +"<QUANTITY>100</QUANTITY>" +"<PRICE>24</PRICE>" +"</CONTRACTNOTE>"; byte[] contentBuffer = Encoding.ASCII.GetBytes(contractNote); //compute contract note hash value byte[] hashedData = hashAlgo.ComputeHash(contentBuffer); Console.WriteLine("Data Length : " +contentBuffer.Length); Console.WriteLine("Hashed Data Length : " +hashedData.Length); } } } As you can see, the code described in Listing 6-3 is pretty straightforward; the only missing part is that you are not encrypting the hash value, which is ideally done in a realistic scenario. For demonstration purposes, we have ignored those steps, so it is pretty simple to implement. In Listing 6-3, a new instance of SHA1Managed is created, and then ComputeHash is invoked to calculate the hash value. ComputeHash is an overloaded method that accepts either a byte array or a Stream object and returns a fixed-size byte array. Since this code uses a 160-bit SHA algorithm, it is obvious that the length of the hash value generated is 20 bytes. All this information is displayed in the console output window, as shown in Figure 6-21.

coarse transactions, delimited by pages and browser redirects Users experience a read/edit/wait sequence, where they are presented with a page, they have to visually parse what s on the page and what s being asked of them, decide what action they want to take, take it, and then wait for the browser to load up the next page A rich web client implements a more interactive experience for the user Transactions with the system are broken down into smaller units of work, and users see more immediate feedback from their actions (more immediate than a full browser page load, at least) A rich web client allows a user to push a button and see the impact immediately in the page that he or she is viewing There s no disorienting context switch to a new page, and the user feels more effective and more efficient.

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