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Hiervoor hebt u een OCR-programma nodig, zoals ABBYY FineReader (met uw ... OCR-software kan de volgende document- of teksttypen niet of slechts ...

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can still be dif cult to pinpoint the areas in your program where such data are introduced and manipulated Private data can come from a variety of sources and are often intermixed with other, less private data The broadest approach is to treat every piece of data with the same white-glove precautions that private data require, but this would be too restrictive for most environments Short of that, you must identify speci c points where private data can enter the program and develop conventions for how they are propagated At a broad level, consider values that arrive in the following ways as potential sources of private data: Directly from the user Persisted from a database or other data store Indirectly from a partner or other third party Organize the methods and data structures used to access information from relevant sources so that it is always clear what s private and what s not As a first step, ensure that functions and variables follow a naming convention that conveys any privacy concerns related to them, such as including SSN in the name of a variable used to store social security numbers In software that handles a large amount of private data, develop a framework specifically designed to ensure the proper handling of private data, including using a whitelist approach to require that new sources of data be explicitly called out as nonprivate in order to be treated as such This approach requires more up-front investment but makes auditing for and avoiding the misuse of private data much easier Handling Private Information We use the term privacy violation to refer to the programmatic misuse of private information, such as writing private data to a log le or displaying sensitive information in an error message on the Web Although private data can be mishandled in a variety of ways, many common errors related to private data stem from misplaced trust Programmers often trust the operating environment in which a program runs and, therefore, believe that it is acceptable to store private information on the lesystem, in the registry, or in other subsystems However, not everyone with access to these internal resources should be given access to the private data For example, in 2004, an unscrupulous employee at AOL with access to the user database sold all 92 million private customer e-mail addresses to a spammer marketing an offshore gambling Web site [Oates, 2005].



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NeOCR is a free software based on Tesseract ( Open Source OCR Engine) for the Windows operating system. It provides an easy and user-friendly user interface to recognize texts contained in images as well as PDF documents and convert to editable text formats (.txt, .doc, .docx).

The single best way to protect private data is to minimize their exposure Applications, processes, and employees should not be granted access to private data unless the access is necessary for their given responsibilities Just as the principle of least privilege dictates that no operation should be performed with more than the necessary privileges, access to private data should be restricted to the smallest possible group Privacy violations are often nonobvious For instance, Example 111 gives a wrapper method built to take some of the trouble out of running a SQL query If the method fails to execute the query as planned (perhaps because the database is unavailable), the method logs the query string along with the exception If the query contains private data, the private data will be logged Blindly logging all queries is simply not appropriate for some kinds of data Information that ends up in a log dictates the level of trust that must be placed in the people who can access it If you write con dential data into the log, you make the software administration process more expensive because access to the logs has to be restricted to people who are trusted with that information Depending on the context surrounding an application, legal or contractual constraints might govern where certain types of information are allowed to appear In 2006, Visa warned that Fujitsu's point-of-sale software was retaining debit card personal identi cation numbers (PINs), in violation of the PCI Data Security Standard [Sandoval, 2006] Fujitsu denied that any data had been stolen because of the problem, but that didn t stop the Wall Street Journal from picking up the story





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The samples in this book use very simplistic interfaces, often accepting and returning a single string or number In practice, your service operations will likely accept and return complex types Communicating over a wire should be more chunky than chatty, minimizing network traf c and response latency This requires passing more information with each call, requiring complex types for input and return values De ne an endpoint Within the endpoint de nition, we ll specify an address, binding, and contract by using the method on the class The address is blank, which indicates that the address of the endpoint is the same as the base address

In this chapter we discuss some selected further topics in RMI: DGC, logging, debugging, performance, efficiency, and the usability and interoperability of RMI under different versions of Java and JDK

Example 111 If this wrapper method is used to execute a query that contains private data, the private data will be logged if the query fails

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public ResultSet execSQL(Connection conn, String sql) { Statement stmt = null; ResultSet rs = null; try { stmt = conncreateStatement(); rs = stmtexecuteQuery(sql); } catch (SQLException sqe) { loggerlog(LevelWARNING, "error executing: " + sql, sqe); } finally { close(stmt); } return rs; }

and set the validation at accordingly This internal routine, , in a le In prois overly simple in this example and stores the duction, this internal routine should be enhanced to store the name/value pair in a database or Web service that is accessible from the client and service

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