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The Eclipse Modeling Project is a relatively new top-level project at Eclipse In contrast, the core of the project, EMF, has been in existence for as long as the Eclipse platform itself Today the Modeling project is largely a collection of projects related to modeling and MDSD technologies This collection was formed to coordinate and focus model-driven software development capabilities within Eclipse The introduction of the Amalgamation project ushered in the beginnings of a DSL-focused development environment, although it has a long way to go before mainstream developers can use it Documentation certainly lags behind implementation within Modeling hence, the need for this book The Modeling project is organized logically into projects that provide the following capabilities: abstract syntax development, concrete syntax development, model-to odel transformation, and model-to-text transformation A single project, the Model Development Tools (MDT) project, is dedicated to the support of industry-standard models Another project within the Modeling project focuses on research in generative modeling technologies These are outside the scope of this book, except where explicitly referenced.



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The check bits are stored into the helper data along with the hashed value of the ppended template The authors targeted a 10% bit error rate for iris images, and they suggested using multiple images on enrollment and veri cation to reduce this error rate by majority coding No speci c implementation details, such as which ECC to use, were given The problem with this approach is that the check bits reveal some information about the biometric template Consider the following example: A 55-bit template is encoded into 255-bit codeword using (255, 55) BCH ECC According to Davida et al, there will be (255 55) = 200 check bits stored into the helper data The BCH code can correct up to 31 random errors, which is only 31/255 = 122% of all bits Note that most biometrics usually have a higher error rate.





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Even though the template size, k = 55, is larger than the number of correctable random errors, an attacker can run the ECC decoder in the erasure mode, which can correct up to 2 31 = 62 errors (the error locations, ie, the rst 55 bits, are known) In other words, the stored check bits allow the complete reconstruction of the template without actually capturing a fresh biometric sample, meaning that the scheme would not have any security Perhaps to address this issue, the authors put a requirement n < 2k However, such an ECC would not be powerful enough for most biometrics, since even for iris images, a realistic bit error rate is about 25% [36, 31], and it does not decrease signi cantly when multiple images are used (as Davida et al had hoped).

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Even if n < 2k, the search space still can be reduced by soft decoding Therefore, we deem this scheme inherently not secure and impractical Consider the following example: A 55-bit template is encoded into 255-bit codeword using (255 55) BCH ECC According to Davida et al, there will be (255 55) = 200 check bits stored into the helper data The BCH code can correct up to 31 random errors, which is only 31/255 = 122% of all bits Note that most biometrics usually have a higher error rate Even though the template size, k = 55, is larger than the number of correctable random errors, an attacker can run the ECC decoder in the erasure mode, which can correct up to 2 31 = 62 errors (the error locations, ie, the rst 55 bits, are known).

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In other words, the stored check bits allow the complete reconstruction of the template without actually capturing a fresh biometric sample, meaning that the scheme would not have any security Perhaps to address this issue, the authors put a requirement n < 2k However, such an ECC would not be powerful enough for most biometrics, since even for iris images, a realistic bit error rate is about 25% [36, 31], and it does not decrease signi cantly when multiple images are used (as Davida et al had hoped) Even if n < 2k, the search space still can be reduced by soft decoding Therefore, we deem this scheme inherently not secure and impractical a image on office excel using barcode maker for excel Related: Java QR Code Generator , ASPNET QR Code Generator , NET WinForms QR Code Generation Data.

Implementing an Abstraction Layer in Software Creator Code 128 Code Set C in Software Implementing an bstraction Layer.

We now consider the case where not all codeword inputs are iven to the checker. In this situation it is dif cult to satisfy the self-testing property at all times.* Some methods for overcoming this dif culty were proposed in [KHAK82b, KHAK84, FUJI87a]. Here we consider the XOR tree circuit with a cascaded form and an extra input v that can take any value in f0; 1g [FUJI87a]. Figure 12.22 gives an example of this type of tree structure. Theorem 12.5 If the cascaded XOR tree circuit having m XOR gates satis es the following conditions, then every single fault in this circuit can be detected: 1. Primary input yi 6 constant, i 0; 1; . . . ; m 1. 2. Independent of yi s, input v can take any value in f0; 1g. yi s, input v can take any value in f0 . using barcode maker for asp.net web service control to generate .Related: Printing Intelligent Mail .NET , VB.NET EAN-13 Generator , UPC-A Generation Word

Invoking this target should produce identical results to the previous example, with the exception of a new file appearing in your working directory.

net vs 2010 Control to generate, create, read, scan barcode image in .net vs 2010 applications. The codeword and the template are XOR-ed, and the esulting n-bit string is stored into helper data along with the hashed value of the key. On veri cation, a fresh biometric template is XOR-ed with the stored string, and the result is decoded by the ECC. If the codeword obtained coincides with the enrolled one (this is checked by comparing the hashed values), the k-bit key is released. If not, a failure is declared. The fuzzy commitment scheme was considered from a more general point of view by Tuyls, Verbitskiy, Goseling, Denteneer, and Linnartz [61 64], who introduced helper data systems, and by Dodis, Reyzin, and Smith [30], who created the concepts of fuzzy extractors and secure sketches. In particular, the scheme was generalized to incorporate non-binary strings and permutation-based extractors. Both scienti c groups delivered a formal proof of security for such systems (see also references 35 and 67). Other generalizations of fuzzy extractors were presented in references 68 and 69. It was also shown by Dodis et al. [30] that storing the so-called ECC syndrome of (n k) size is, in fact, equivalent to the fuzzy commitment scheme if the ECC is linear. This syndrome scheme is a secure sketch; that is, the original template can be.Related: EAN 128 Generator VB.NET , ITF-14 Generating .NET WinForms , ITF-14 Generating Word

When you create views, your goal is to display the entity to the end user in a way that makes sense based on the user s requirements This might mean joining several tables to provide your output, or it might mean querying a single table but not displaying all the rows A view that returns all the information about a customer is great, but if you also join to the address table, you could receive multiple addresses for that customer and hence receive multiple rows in your view per customer This isn t necessarily a problem, but the consumers of the view need to understand what they are receiving Also, it s a good idea to create views that shortcut application logic In other words, if the application often pulls a list of all the past orders of a customer to output an account summary page, then a view that joins the customer table to the order table might save time and prevent the application from making two trips to the database and then combining the record sets locally Also, avoid using SELECT * syntax or INSERT syntax without a list of values In fact, avoid may be the wrong term; just don t use this syntax Doing so creates problems and reduces the usefulness of your abstraction layer if changes are made Either form of this syntax relies on the ata being in a particular order When the application performs a SELECT *, it might be expecting 15 columns of specific data If you now add a new column before column 5, the application will still get 16 columns, but beginning at column 5 the data will be different from last time This kind of unexpected result can trigger a simple problem such as data being labeled incorrectly, or it can create bigger problems, such as application crashes due to incorrect data types, divide by zero errors, item not found in collection errors, and the list goes on If you select data by column name, the worst the application will do is ignore the new column until you modify the view definition Let s look at the views we will need to view our customer data Remember that the customer entity is made up of both tbl_customer and tbl_address, so we must decide how to return this data In this case, we will use two views: one for all the customer information except for address data, and the other for address detail Had we decided to use only one view, we would end up repeating all the customer data for each address in the database Although this isn t really a problem, it is often easier to reduce the duplication in the view rather than rely on the application to take care of it For view 1, we use the code shown next.

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