an introduction to cryptology and coding theory discrete math 2006
Post on 21-Dec-2015
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Communication System
Digital Source Digital Sink
Source Encoding
Source Decoding
Encryption Decryption
Error Control Encoding
Error Control Decoding
Modulation Channel Demodulation
Cryptology
Cryptography Inventing cipher systems; protecting
communications and storage
Cryptanalysis Breaking cipher systems
What is used in Cryptology?
Cryptography: Linear algebra, abstract algebra, number
theory
Cryptanalysis: Probability, statistics, combinatorics,
computing
Caesar Cipher
ABCDEFGHIJKLMNOPQRSTUVWXYZ Key = 3 DEFGHIJKLMNOPQRSTUVWXYZABC
Example Plaintext: OLINCOLLEGE Encryption: Shift by KEY = 3 Ciphertext: ROLQFROOHJH Decryption: Shift backwards by KEY = 3
Substitution Cipher
Permute A-Z randomly:
A B C D E F G H I J K L M N O P… becomes
H Q A W I N F T E B X S F O P C… Substitute H for A, Q for B, etc. Example
Plaintext: OLINCOLLEGE Key: PSEOAPSSIFI
One-Time Pads
Map A, B, C, … Z to 0, 1, 2, …25 Plaintext: MATHISUSEFULANDFUN Key: NGUJKAMOCTLNYBCIAZ Encryption: “Add” key to message mod 26 Decryption: “Subtract” key from ciphertext
mod 26
One-Time Pads
Unconditionally secure
Problem: Exchanging the key
There are some clever ways to exchange the key….
Public-Key Cryptography
Diffie & Hellman (1976) Known at GCHQ years before
Uses one-way (asymmetric) functions, public keys, and private keys
Public Key Algorithms
Based on two hard problems Factoring large integers (Duc and
Andrew) The discrete logarithm problem
What is Coding Theory?
Coding theory is the study of error-control codes
Error control codes are used to detect and correct errors that occur when data are transferred or stored
What IS Coding Theory?
A mix of mathematics, computer science, electrical engineering, telecommunications Linear algebra Abstract algebra (groups, rings, fields) Probability&Statistics Signals&Systems Implementation issues Optimization issues Performance issues
General Problem We want to send data from one place to another…
channels: telephone lines, internet cables, fiber-optic lines, microwave radio channels, cell phone channels, etc.
or we want to write and later retrieve data… channels: hard drives, disks, CD-ROMs, DVDs, solid
state memory, etc.
BUT! the data, or signals, may be corrupted additive noise, attenuation, interference, jamming,
hardware malfunction, etc.
General Solution
Add controlled redundancy to the message to improve the chances of being able to recover the original message
Trivial example: The telephone game
How Good Does It Get?
What are the ideal trade-offs between rate, error-correcting capability, and number of codewords?
What is the biggest distance you can get given a fixed rate or fixed number of codewords?
What is the best rate you can get given a fixed distance or fixed number of codewords?