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Add Some Entropy to Your JVM

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Add Some Entropy to Your JVM

· Java Zone
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Being able to generate true random numbers depends on the entropy in your system. Some claim, that this can be guaranteed by fair dice roll. Others think that replacing the OpenJDK’s java.math.Random.nextInt() method with this body will help:

public int nextInt() {
  return 14;
}

Source: http://www.redcode.nl/blog/2013/10/openjdk-and-xkcd-random-number/.

But that’s absurd. We all know that the best way to add true entropy to the JVM is by rewriting the java.lang.Integer.IntegerCache when your JVM starts up. Here’s the code:

import java.lang.reflect.Field;
import java.util.Random;
 
public class Entropy {
  public static void main(String[] args) 
  throws Exception {
 
    // Extract the IntegerCache through reflection
    Class<?> clazz = Class.forName(
      "java.lang.Integer$IntegerCache");
    Field field = clazz.getDeclaredField("cache");
    field.setAccessible(true);
    Integer[] cache = (Integer[]) field.get(clazz);
 
    // Rewrite the Integer cache
    for (int i = 0; i < cache.length; i++) {
      cache[i] = new Integer(
        new Random().nextInt(cache.length));
    }
 
    // Prove randomness
    for (int i = 0; i < 10; i++) {
      System.out.println((Integer) i);
    }
  }
}

When I last tried, the above printed

92
221
45
48
236
183
39
193
33
84

Don’t believe it? Try it on your application! By trying this on your application, you agree to the following licensing terms:

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

Download Building Reactive Microservices in Java: Asynchronous and Event-Based Application Design. Brought to you in partnership with Red Hat

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Published at DZone with permission of Lukas Eder, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

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