The AVR series microcontrollers are a collection of cheap and versatile chips that are used in many applications ranging from hobbist projects to commercial infrastructure. One major problem for some hobbists is the lack of secure random number generation on the Arduino platform. The included pseudo-random number generator (PRNG) is very easy to defeat and is useless for any crypto-related uses. One recommendation from the Arduino Reference Manual is to use atmospheric noise from the chip's analog sensor pins as seed data[6].
Unfortunately this method is extremely weak and should not be used to emulate a true random number generator (TRNG). Existing methods such as using the internal timer drift or using a dedicated generator are either too slow, requires extensive external hardware or modifications to the microcontroller's internal mech
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March 2, 2025 10:14
Two Fast Methods of Generating True Random Numbers on the Arduino
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| import java.io.{ByteArrayOutputStream, ByteArrayInputStream} | |
| import java.util.zip.{GZIPOutputStream, GZIPInputStream} | |
| import scala.util.Try | |
| object Gzip { | |
| def compress(input: Array[Byte]): Array[Byte] = { | |
| val bos = new ByteArrayOutputStream(input.length) | |
| val gzip = new GZIPOutputStream(bos) |
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| *.class | |
| *.log | |
| # sbt specific | |
| .cache/ | |
| .history/ | |
| .lib/ | |
| dist/* | |
| target/ | |
| lib_managed/ |