Title: Lecture 1: Cryptography for Network Security
1Lecture 1 Cryptography for Network Security
- Anish Arora
- CSE5473
- Introduction to Network Security
-
2Symmetric encryption
3Symmetric encryption requirements
- two requirements for secure use of symmetric
encryption - a strong encryption algorithm
- a secret key known only to sender / receiver
- y S x in notation of book Y EK(X)
- x S y X DK(Y)
- assume encryption algorithm is known
- implies a secure channel to distribute key
4Block versus stream ciphers
- block ciphers divide messages into blocks, each
is then en/decrypted - like a substitution on very big characters
- 64-bits or more
- would need table of 264 entries for a 64-bit
block - instead create from smaller building blocks
- using idea of a product cipher
- substitution (S-box) provides confusion
- permutation (P-box) provides diffusion
- stream ciphers process messages a bit or byte at
a time - typically have a (pseudo) random stream key
5Block versus stream ciphers contd
- key should satisfy
- statistical uniformity of distribution of
numbers in sequence - unpredictability of successive members of
sequence - randomness of key destroys statistical properties
in message - but must not reuse stream key
- e.g. RC4 used in SSL and WEP
- many current ciphers are block ciphers
- many symmetric block ciphers use Feistel Cipher
Structure
6Pseudo random functions (PRFs)
- A pseudo random function is an
- efficiently computable function
- that emulates a random oracle
- and there is no efficient algorithm for
distinguishing a PRF function, chosen randomly
from its PRF family, from a random oracle - Random oracle is a function that responds to
every query with a random response from its
range - note that response is deterministic
- note that it is impossible to implement a random
oracle - Main property of PRF
- all its outputs appear to be random
- assuming function is chosen in random
7Pseudo random generators (PRGs)
- PRFs should not be confused with PRGs
- Main property of PRG
- a single output of a PRG appears to be random
- Cryptographically secure (CS) PRGs are used for
generating a pool of randomness - for selecting keys, seeds, nonces, one-time pads
- sources of physical randomness may suffice
- geiger counters, thermal noise measurement
- observing random activity on keyboard or screen
- CSPRGs can be constructed using crypto
primitives, or number theoretically - PRFs can be generated from PRGs
8Fesitel schema for symmetric encryption
- Overall processing at each iteration use two
32-bit halves L and R - Li Ri-1
- Ri Li-1 ? F(Ri-1, Ki)
9Data Encryption Standard (DES)
- A widely used symmetric encryption scheme
- Algorithm is referred to as Data Encryption
Algorithm (DEA) - DES is a block cipher
- Plaintext is processed in 64-bit blocks
- Key is usually 56-bits in length
- n rounds, in each
- every block first undergoes key-based
substitution - then all blocks are collated and undergo
key-based permutation - Easy in hardware, slow in software
- selection of block size, key size, rounds, round
function, subkey generation scheme trades off
security vs speed
10The function F in DES
- takes 32-bit R half 48-bit subkey and
- expands R to 48-bits using perm E
- adds to subkey
- passes through 8 S-boxes to get 32-bit result
- finally permutes this using 32-bit perm P
11DEA
Decryption runs backward
12DES History
- IBM developed Lucifer cipher
- by team led by Feistel
- used 64-bit data blocks with 128-bit key
- Then redeveloped as a commercial cipher with
input from NSA others - In 1973, NBS issued request for proposals for a
national cipher standard - IBM submitted their revised Lucifer which was
eventually accepted as the DES - DES standard is public
- But there has been considerable controversy over
design - in choice of 56-bit key (vs original Lucifer
128-bit) - and because design criteria were classified
13Breaking DES
14Concerns about DEA
- Key length of only 56-bits is insufficient
- Even with larger keys, breaking is feasible if
you have - known plaintext or have repeated encryptions
- generally these are statistical attacks
- access to timing or power consumption information
- use knowledge of implementation to derive subkey
bits - exploit fact that calculations take varying times
based on input value - particularly problematic on smartcards
15Weaknesses in DES
- DES has Weak and Semi-Weak Keys The round key
construction is such that - Any key comprising All 0s, All 1s, Alternating 0s
and 1a, or Alternating 1s and 0s is its own
inverse (these are the 4 weak keys) - The set of keys composed of two halves each of
the above sorts is such that each key has an
inverse in this set (these are 12 semi-weak keys) - Complement key property means that brute force
search for DES is of complexity 255, not 256
16DES Electronic Code Book
- In encryption via ECB, repeated 64-bit blocks are
identically encrypted - ECB attackers who know the data structure (e.g.
fields such as salary) can reorder blocks while
preserving structure
17Cipher Block Chaining
- To overcome ECB weakness, add (i.e. XOR) a random
number to each 64-bit block being encrypted, and
additionally communicate the random number in the
clear - This is inefficient
- Approximation only communicate the initial
random number, and derive the successive random
numbers from the previously encrypted message - Initial random number is called the
initialization vector - Default IVs, such as All Zeroes, can be used, but
is insecure for repeated transmissions of the
same message sequence
18Cipher Block Chaining
19A CBC threat
- If message structure is known, intruder can
systematically ensure that a modified message is
delivered, by changing the previous ciphertext - but then the previous plaintext is deciphered in
a way not controlled by intruder - An alternative to CBC is the Counter Mode (CTR)
- precompute encryptions of a counter value and
XOR with successive messages (this method enjoys
parallelism) - to avoid reusing the same sequence of precomputed
encryptions, prefix a nonce (which is made
public) to the counter value sequence - note message blocks are not encrypted, just
XOR-ed, unlike CBC mode
20Multiple DES, 3DES
- Two successive encryptions with different keys
are better than one 56 bit key - E2.E1 to encrypt and D2.D1 to decrypt
- Combinatorially, two keys yields more
permutations than those possible with one key - However, meet-in-the-middle cryptanalysis reduces
complexity of attack to 256, so net improvement
is not large - 3DES uses two keys E1.D2.E1 to encrypt and
D1.E2.D1 to decrypt - or three keys E3.D2.E1 to encrypt and
D3.E2.D1 to decrypt
21Other symmetric block ciphers
- Blowfish
- Easy to implement
- High execution speed
- Run in less than 5K of memory
- Uses a 32 to 448 bit key
- RC5
- Suitable for hardware and software
- Fast, simple, but proprietary
- Adaptable to processors of different word lengths
- Variable number of rounds
- Variable-length key
- Low memory requirement
- High security
- Data-dependent rotations
22AES
- AES, Elliptic Curve, IDEA, Public Key
cryptography concern numbers finite fields - US NIST issued call for ciphers in 1997
- 15 candidates accepted in Jun 98
- 5 were shortlisted in Aug 99
- Rijndael was selected as the AES in Oct 2000
- issued as a standard in Nov 2001
- Symmetric block cipher, 128-bit data,
128/192/256-bit keys - provide full specification design details
- both C Java implementations
- NIST have released all submissions unclassified
analyses - iterative (vs feistel) cipher, operates on entire
block per round
23Asymmetric encryption Public key cryptography
24Security of public key schemes
- brute force attacks infeasible since keys used
are too large (gt 512bits) - security relies on a large computation difference
in difficulty between easy (en/decrypt) and hard
(cryptanalyse) problems - the hard problem is generally known, its just
made too hard to do in practice - requires the use of very large numbers
- hence is slow compared to private key schemes
25Background
- Asymmetric cryptography invented by Diffie and
Helman 76 - 3 categories of uses
- encryption/decryption (provide secrecy)
- digital signatures (provide authentication)
- key exchange (of session keys)
26Authentication using public keys
27RSA
- To encrypt a message M the sender
- obtain public key of recipient KUe,N
- computes CMe mod N, where 0MltN
- To decrypt the ciphertext C the receiver
- uses its private key KRd,p,q
- computes MCd mod N
- Message M is smaller than modulus N (so block if
needed)
28RSA key generation
- 1 determine two primes at random - p, q
- primes p,q must not be easily derived from mod
Np.q - means must be sufficiently large
- typically guess and use probabilistic test
- 2 select either e or d and compute the other
- exponents e, d are inverses
- the goal is that selection of d should be random
and unpredictable - e is computed using extended Euclidean algorithm
- its okay for e to be predictable (e.g. small),
so encr. fast - but e should not be too small, e.g. 3
29Small M
- M0 and M1 are obviously not secure on
encryption, even if e is very large - Likewise, for other small M, Me would be smaller
than N and Me mod N can be precomputed and
checked by the passive eavesdropper - Even if Alice adds a large salt s to M, the
attacker can compute the encryption of s as well
as its successors (s1 ...) to guess M
30Avoiding Message Guessing
- Add random padding to make M large and
unpredictable - Public Key Cryptographic Standard replace M with
M -
- M0 padding 10 gt64 random bits
00000000 M - OAEP Scheme Optimal asymmetric encryption
padding -
- sender XORs message with output of the
cryptographic hash function with random input
recipient obtains random and XORs out
cryptographic hash - David Evans
31Fermats Little Theorem
- Theorem If n is prime,
- an-1 1 mod n
- Proof a mod n, 2a mod n, (n-1)a mod n
- since n is prime , a is not divisible by n
- 1, 2, n
- gt
- a x 2a x x (n-1)a (n-1)! mod n
-
- an-1 1 mod n
32Security of RSA
- Factoring numbers is hard
- Breaking (p-1)(q-1) or d is not easier than
factoring n - i.e. there is an easy way to factor n once
(p-1)(q-1) is broken - likewise if d is broken
33RSA (contd.)
- Due to Rivest, Shamir Adleman of MIT in 1977
- Best known widely used public-key scheme
- Based on exponentiation in a finite (Galois)
field over integers modulo a prime - exponentiation takes O((log n)3) operations
(easy) - Uses large integers (e.g. 1024 bits)
- Security due to cost of factoring large numbers
- factorization takes O(e log n log log n)
operations (hard) - barring dramatic breakthrough 1024 bit RSA
secure - Timing attacks possible
- exploit time taken in exponentiation to infer
operands - countermeasures
- use constant exponentiation time, add random
delays
34Hash functions
- a hash function produces a fingerprint of some
file/message/data - h H(M)
- condenses a variable-length message M
- to a fixed-sized fingerprint
- usually assume that the hash function is public,
not keyed - cf. MAC which is keyed
- hash used to detect changes to message, e.g. by
creating a digital signature or fingerprint of a
message - cryptographically secure hashes also used to
generate PRFs, e.g. to derive keys
35Requirements for hash functions
- can be applied to any sized message M
- produces fixed-length output h
- is easy to compute hH(M) for any message M
- given h is infeasible to find x s.t. H(x)h
- one-way property
- given x is infeasible to find y s.t. H(y)H(x)
- weak collision resistance
- is infeasible to find any x,y s.t. H(y)H(x)
- strong collision resistance
36Simple hash functions
- there are several proposals for simple functions,
based on XOR of message blocks - e.g. longitudinal redundancy check
- xor of columns of n-bit block arranged in rows
- e.g. above circular left shift of hash after
each row - effect of rotated XOR (RXOR) is to randomize the
input - but these lack weak collision resistance
- simply add a block to obtain desired hash
- need a stronger cryptographic function, which
tolerates strong collision resistance as well
37More on weak collision resistance
- How big should our hash function be?
- If attacker can perform 263 hashes, hash function
should have 64 bits is output so that probability
that the attacker can find another message with
the same hash is less than 0.5 - Assuming hash function distribution is uniform
- Prob (one guess gives same hash) 2-64
- Prob (the guess does not give same hash) 1- 2-64
- Prob (2L hash guesses dont give the same hash)
(1- 2-64)263
38Birthday attacks imply need longer hash values
- You might think a 64-bit hash is secure, but by
Birthday Paradox is not - Given k people, what is the probability that
there are two people with the same birthday - If birthdays uniformly distributed over 365
days, - probability of no duplicates 365x364x x
(365-k1) / 365k - 365!/((365-k)! x 365k)
39Birthday attacks imply need longer hash values
- birthday attack on strong-collision resistance
works thus - opponent generates 2m/2 variations of a valid
message all with essentially the same meaning - opponent also generates 2m/2 variations of a
desired fraudulent message - two sets of messages are compared to find pair
with same hash (probability gt 0.5 by birthday
paradox) - have user sign the valid message, then substitute
the forgery which will have a valid signature - conclusion is that need to use longer hash values
- also, you might wish to change every message you
sign !
40Hash algorithms
- similarities in evolution of hash functions
block ciphers - increasing power of brute-force attacks led to
evolution in algorithms - from DES to AES in block ciphers
- from MD4 MD5 to SHA-1 in hash algorithms
- likewise tend to use common iterative structure
as do block ciphers - iteration of collision-resistant round
compression function preserves collision
resistance - good round functions should have an avalanche
effect - small changes in input should have large changes
in output
41Block ciphers as hash functions
- can use block ciphers as hash functions
- using H00 and zero-pad of final block
- compute Hi EMi Hi-1
- and use final block as the hash value
- similar to cipher block chaining but without a
key - but resulting hash should not be too small
(64-bit) - like block ciphers have brute-force attacks, and
a number of analytic attacks on iterated hash
functions
42MD5
- designed by Ronald Rivest (the R in RSA)
- latest in a series of MD2, MD4
- produces a 128-bit hash value
- until recently was the most widely used hash
algorithm - in recent times had both brute-force
cryptanalytic concerns - specified as Internet standard RFC1321
43MD5 overview
- pad message so its length is 448 mod 512
- append a 64-bit length value to message
- initialise 4-word (128-bit) MD buffer (A,B,C,D)
- process message in 16-word (512-bit) blocks
- using 4 rounds of 16-bit operations on message
block buffer - add output to buffer input to form new buffer
value - output hash value is the final buffer value
44MD5 overview
45MD4
- precursor to MD5
- also produces a 128-bit hash of message
- has 3 rounds of 16 steps vs 4 in MD5
- design goals
- collision resistant (hard to find collisions)
- direct security (no dependence on "hard"
problems) - fast, simple, compact
- favours little-endian systems (e.g., PCs)
46Strength of MD5
- MD5 hash is dependent on all message bits
- Rivest claimed security is as strong as can be
with 128 bit code - known attacks are
- Berson 92 attacked any 1 round using differential
cryptanalysis (but cant extend) - Boer Bosselaers 93 found a pseudo collision
(again unable to extend) - Dobbertin 96 created collisions on MD compression
function (but initial constants prevent exploit) - conclusion was that MD5 should be vulnerable soon
- In 2004, an attack was found
47Secure Hash Algorithm (SHA)
- SHA was designed by NIST NSA in 1993, revised
1995 as SHA-1 - US standard for use with DSA signature scheme
- standard is FIPS 180-1 1995, also Internet
RFC3174 - nb. the algorithm is SHA, the standard is SHS
- produces 160-bit hash values
- now the generally preferred hash algorithm
- SHA-1 is now regarded as broken (with a
theoretical attack of 251) - This year SHA-3 is being finalized
- based on design of MD4 with key differences
48SHA overview
- pad message so its length is 448 mod 512
- append a 64-bit length value to message
- initialise 5-word (160-bit) buffer (A,B,C,D,E) to
- (67452301,efcdab89,98badcfe,10325476,c3d2e1f0)
- process message in 16-word (512-bit) chunks
- expand 16 words into 80 words by mixing
shifting - use 4 rounds of 20 bit operations on message
block buffer - add output to input to form new buffer value
- output hash value is the final buffer value
49SHA-1 verses MD5
- brute force attack is harder (160 vs 128 bits for
MD5) - was regarded as less vulnerable to attacks
(compared to MD4/5), but this is no longer true - a little slower than MD5 (80 vs 64 steps)
- both designed as simple and compact
- optimised for big endian CPU's (vs MD5 which is
optimised for little endian CPUs)
50Revised secure hash standard
- NIST has issued a revision FIPS 180-2
- adds 3 additional hash algorithms
- SHA-256, SHA-384, SHA-512
- designed for compatibility with increased
security provided by the AES cipher - structure detail is similar to SHA-1
- hence analysis should be similar
51Reading on Crypto
- Comparable to the extent covered in class, read
- Chapter 3 3.1-3.4, 3.6
- Chapter 5 5.1
- Chapter 6 6.2-6.5
- Chapter 7 7.4
- Chapter 9 9.1-9.2
- Chapter 11 11.4-11.5
- Chapter 12 12.1-12.2