Group items tagged

The ASPN Cookbooks are collections of solutions and practical examples. The recipes highlight programming best practices and can be used directly in day-to-day tasks, as a source of ideas, or as a way to learn more about the languages.

Google executes 100k MapReduce jobs each day; more than 20 petabytes of data are processed per day; more than 10k MapReduce programs have been implemented; machines are dual processor with gigabit ethernet and 4-8 GB of memory.

These documents were released to the New York Times regarding the Pentagon's Military Analyst program.

Attacks that exploit memory errors are still a serious problem. We present data randomization, a new technique that provides probabilistic protection against these attacks by xoring data with random masks. Data randomization uses static analysis to partition instruction operands into equivalence classes: it places two operands in the same class if they may refer to the same object in an execution that does not violate memory safety. Then it assigns a random mask to each class and it generates code instrumented to xor data read from or written to memory with the mask of the memory operand's class. Therefore, attacks that violate the results of the static analysis have unpredictable results. We implemented a data randomization prototype that compiles programs without modifications and can preventmany attacks with low overhead. Our prototype prevents all the attacks in our benchmarks while introducing an average runtime overhead of 11% (0%to 27%) and an average space overhead below 1%.

Download Free Data Mining Source Code In C/C++, C#, Visual Basic, Visual Basic.NET, Java, and other programming languages

python GUI 程式設計必備良藥

python基礎線上電子書