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Mastering Java 11

Mastering Java 11

By : Dr. Edward Lavieri Jr., Jog
1 (2)
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Mastering Java 11

Mastering Java 11

1 (2)
By: Dr. Edward Lavieri Jr., Jog

Overview of this book

Java 11 is a long-term release and its new features add to the richness of the language. It emphasizes variable-type inference, performance improvements, along with simplified multithreading. The Java platform has a special emphasis on modularity, making this the programming platform of choice for millions of developers. The modern Java platform can be used to build robust software applications, including enterprise-level and mobile applications. Fully updated for Java 11, this book stands to help any Java developer enjoy the richness of the Java programming language. Mastering Java 11 is your one-stop guide to fully understanding recent Java platform updates. It contains detailed explanations of the recent features introduced in Java 9, Java 10, and Java 11 along with obtaining practical guidance on how to apply the new features. As you make your way through the chapters, you'll discover further information on the developments of the Java platform and learn about the changes introduced by the variable handles and Project Coin, along with several enhancements in relation to import statements processing. In the concluding chapters, you'll learn to improve your development productivity, making your applications more efficient. You'll also be able to get to grips with the command-line flags with respect to various utilities and the command-line utility changes featured in the current Java platform. By the end of the book, you'll have obtained an advanced level understanding of the Java platform and its recent changes.
Table of Contents (20 chapters)
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DRBG-based SecureRandom implementations

In earlier versions of Java, that is, version 8 and earlier, the JDK had two approaches to generating secure random numbers. One method, written in Java, used SHA1-based random number generation and was not terribly strong. The other method was platform-dependent and used preconfigured libraries.

Deterministic Random Bit Generator (DRBG) is a method for generating random numbers. It has been approved by the NIST, a branch of the U.S. Department of Commerce. DRBG methodologies include modern and stronger algorithms for generating secure random numbers.

Recently, three specific DRBG mechanisms were implemented. These mechanisms are listed as follows:

  • Hash_DRBG
  • HMAC_DRBG
  • CTR_DRBG
You can learn the specifics of each of the DRBG mechanisms at http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-90Ar1.pdf.

Here are the three new...

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