Shrinking Generator

In cryptography, the shrinking generator is a form of pseudorandom number generator intended to be used in a stream cipher. It was published in Crypto 1993 by Don Coppersmith, Hugo Krawczyk and Yishay Mansour.

The shrinking generator uses two linear-feedback shift registers. One, called the sequence, generates output bits, while the other, called the sequence, controls their output. Both and are clocked; if the bit is 1, then the bit is output; if the bit is 0, the bit is discarded, nothing is output, and the registers are clocked again. This has the disadvantage that the generator's output rate varies irregularly, and in a way that hints at the state of S; this problem can be overcome by buffering the output. The random sequence generated by LFSR can not guarantee the unpredictability in secure system and various methods have been proposed to improve its randomness

Despite this simplicity, there are currently no known attacks better than exhaustive search when the feedback polynomials are secret. If the feedback polynomials are known, however, the best known attack requires less than • bits of output.Caballero-Gil, P. et al
New Attack Strategy for the Shrinking Generator
''Journal of Research and Practice in Information Technology'', Vol. 1, pages 331–335, Dec 2008.

A variant is the self-shrinking generator.

An implementation in Python

This example uses two Galois LFRSs to produce the output pseudorandom bitstream. The Python code can be used to encrypt and decrypt a file or any bytestream.

#!/usr/bin/env python3

import sys

# ----------------------------------------------------------------------------
# Crypto4o functions start here
# ----------------------------------------------------------------------------

class GLFSR:
"""Galois linear-feedback shift register."""

def __init__(self, polynom, initial_value):
print "Using polynom 0x%X, initial value: 0x%X." % (polynom, initial_value)

self.polynom = polynom , 1
self.data = initial_value
tmp = polynom
self.mask = 1

while tmp != 0:
if tmp & self.mask != 0:
tmp ^= self.mask

if tmp

0:
break

self.mask <<= 1

def next_state(self):
self.data <<= 1

retval = 0

if self.data & self.mask != 0:
retval = 1
self.data ^= self.polynom

return retval

class SPRNG:
def __init__(self, polynom_d, init_value_d, polynom_c, init_value_c):
print "GLFSR D0: ",
self.glfsr_d = GLFSR(polynom_d, init_value_d)
print "GLFSR C0: ",
self.glfsr_c = GLFSR(polynom_c, init_value_c)

def next_byte(self):
byte = 0
bitpos = 7

while True:
bit_d = self.glfsr_d.next_state()
bit_c = self.glfsr_c.next_state()

if bit_c != 0:
bit_r = bit_d
byte , = bit_r << bitpos

bitpos -= 1

if bitpos < 0:
break

return byte

# ----------------------------------------------------------------------------
# Crypto4o functions end here
# ----------------------------------------------------------------------------

def main():
prng = SPRNG(
int(sys.argv 16),
int(sys.argv 16),
int(sys.argv 16),
int(sys.argv 16),
)

with open(sys.argv "rb") as f, open(sys.argv "wb") as g:
while True:
input_ch = f.read(1)

if input_ch

"":
break

random_ch = prng.next_byte() & 0xFF
g.write(chr(ord(input_ch) ^ random_ch))

if __name__

"__main__":
main()

See also

* FISH, an (insecure) stream cipher based on the shrinking generator principle
* Alternating step generator, a similar stream cipher

References

{{Cryptography stream

Articles with example Python (programming language) code
Stream ciphers
Pseudorandom number generators