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RMI provides facilities for you to log the actions of an application These logs can be a useful way of tracking application performance, and collecting information for debugging purposes 1831 Application logging If you are building a serious production system you will want your RMI servers to log their actions in an application log This is an application design issue, not an issue about how RMI works You should log incoming remote calls, the date and time, and the client of each call You should probably also log exceptions thrown by incoming calls Make arrangements so that server logs do not overflow the storage medium they are written to Do this by starting a new log file at regular intervals such as every day, and archiving and removing log files older than some period such as a week or a month RMI provides some mechanisms to help you with application logging, as long as you are prepared to accept its output formats These mechanisms include:



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sqlQuery = "SELECT item FROM users WHERE login = " + usergetLogin() + " AND password = " + usergetPassword() result = execSQL(connection, sqlQuery);

Implementing Transactions (Operation Behavior)

Continued If the call to executeQuery() in execSQL() throws a SQLException, this code will cause a privacy violation because the SQL query contains a user login and password, which execSQL() will write to the log To identify this privacy violation, use the following rules to begin tracking the return values from getLogin() and getPassword() as private:

javarmiserverLogStream, an extension of javaioPrintStream which prefixes date/time, client, thread, and context information to its output[4]

Source rule:

Implementing Transactions (Operation Behavior)

Source rule:

Method: UsergetPassword() Postcondition: return value is tainted and carries the PRIVATE taint flag





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This class is deprecated, but the javarmiserverRemoteServergetLog method, which is not deprecated, returns an object of this class LogStream is used extensively internally To avoid using LogStream, you can assign the result of javarmiserverRemoteServergetLog to an object of class javaioPrintStream

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There are two scenarios commonly referred to as transactions Multistep business processes are long-running processes that typically span minutes, days, or months They could involve multiple organizations and human-based work ow Short-running transactions are business operations that typically complete in seconds and have few external dependencies Although they both have well-de ned interfaces and a deterministic work ow, they are fundamentally different animals WCF supports short-running transactions It does this by leveraging NET and Windows infrastructure for transactions running in a Microsoft-only environment and by leveraging WS-* standards transactions that span platforms Multistep business processes typically combine both automated and manual work ow They may take a few moments (for example, place an order) or a few months (for example, get a rebate) If a multistep process (for example, plan a business trip) fails part way through, earlier steps (for example, make a plane reservation) are undone by taking compensating steps (cancel the plane reservation) These transactions are best supported with a message broker or enterprise service bus such as BizTalk Server

And use the following rule to produce a warning whenever data that have been tagged as PRIVATE is logged with the Java logger:

Sink rule:

boundaries or may be aligned on 16 bit boundaries)

Short-running transactions encapsulate discrete business functions They typically take seconds to complete The business functions can be exposed at a high-level (for example, Open New Account) to aggregate or update information from multiple sources The business functions can also be exposed at a lower level (Update Customer Address) to update just one data source In either case, all data updates within the transaction must succeed or fail as an atomic unit to maintain integrity of the business function If one component update fails within the transaction, the service must undo the updates that succeeded prior to the failure so that it leaves the data exactly as it was found before the operation began This behavior is commonly known as an ACID transaction Much has been written on this topic, but in short ACID transactions are Atomic All updates within the transaction are successful, or they re all rolled back No partial updates are allowed For instance, in a bank transfer, if the debit succeeds but the credit fails, the debit is rolled back so money isn t created or lost Consistent After the operation, all data is valid according to the business rules For instance, in a bank transfer, the To and From accounts must be valid accounts or the transaction will abort Isolated While the operation is executing, no partial results are visible outside the transactions For instance, as a bank transfer is being executed, other users will not see the balances part way through the transfer Durable After the transaction is committed, the data must be persisted in a way that can survive system failures

Method: javautilloggingLoggerlog() Precondition: second argument must not carry the PRIVATE taint flag

A good static analysis tool includes rules to identify methods that are frequently involved in privacy violation issues, such as logging packages, but require customization to identify sources and entry points that introduce private data, which depend on the program s context

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