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Feistel Networks made Public, and Applications.

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Title: Feistel Networks made Public, and Applications.


1
Feistel Networks made Public, and Applications.
  • Yevgeniy Dodis
  • Prashant Puniya

2
Feistel Network
One round Feistel Construction
  • Construction of a permutation on 2n bits from a
    n?n bit function f.
  • Easily invertible.
  • Feistel Network Iterated Feistel Construction.

3
Block Cipher Design
  • Several practical block ciphers based on Feistel
    network.
  • DES, Blowfish, Triple DES
  • Use 16-48 round Feistel network
  • Theoretical basis?
  • Luby-Rackoff showed that 4 rounds of Feistel with
    pseudorandom round functions is a PRP.
  • Several improvements Naor-Reingold, Patarin,
    Ramzan-Reyzin
  • All apply to 3-6 rounds of Feistel.
  • Why the disconnect?

4
Reason 1
  • Round functions are not pseudorandom functions.
  • All above theoretical results assume some of the
    round functions to be PRFs.
  • Round functions in actual block ciphers are
    heuristically designed and arent pseudorandom.
  • Maybe expect less from round functions.
  • Weaker assumptions on round functions, such as
    unpredictability?

5
Reason 2
  • Cannot argue secrecy of round values.
  • Necessary for any of the theoretical results to
    be applicable.
  • May not necessarily hold for actual block ciphers
    with non-pseudorandom round functions.
  • Example need not hold for unpredictable fns.
  • More generally, there may be situations where
    this has to be the case (more details later).

6
Summary
  • All theoretical results are inapplicable once we
    relax the above assumptions, i.e. when
  • Round functions may not be PRFs.
  • Cannot argue secrecy of round values.
  • In fact, we give a simple attack on the Feistel
    network in the paper if either of these
    assumptions does not hold.

7
Our results (in brief)
  • Negative Results
  • If round values are public, O(log n) round
    Feistel network is insecure.
  • With unpredictable round fns., O(log n) rounds
    need not be secure (even if round values arent
    explicitly revealed)
  • An attack using exponential (in of rounds)
    queries.
  • Positive results
  • ?(log n) rounds preserve PR/Unpredictability even
    if round values are leaked.

8
Implications for Block Ciphers
  • If round functions are pseudorandom
  • O(log n) round Feistel is insecure if round
    values revealed.
  • ?(log n) round Feistel is a PRP even if round
    values revealed!
  • If round functions are only unpredictable
  • O(log n) round Feistel need not be secure even if
    round values are not explicitly revealed.
  • ?(log n) round Feistel is an unpredictable
    permutation (UP).
  • Safe fallback security for block ciphers.
  • Even for stronger security notions
  • Forces a weaker/more clever attack for ?(log n)
    rounds.
  • Possible that weaker than PRF round functions
    suffice!
  • ?(log n) matches the number of rounds in block
    ciphers much better than previous results.
  • E.g. DES on 64 bits uses 16 rounds.

9
Our results (in brief)
  • Negative Results
  • If round values are public, O(log n) round
    Feistel network is insecure.
  • With unpredictable round fns., O(log n) rounds
    need not be secure (even if round values arent
    explicitly revealed)
  • An attack using exponential (in of rounds)
    queries.
  • Positive results
  • ?(log n) rounds preserve PR/Unpredictability even
    if round values are leaked.
  • Give a general abstraction for the Feistel
    network.
  • Many other applications (stay tuned!)

10
A useful abstraction.
  • We describe a simple combinatorial game involving
    the Feistel network which is applicable to all
    scenarios that we consider.
  • Involves a k-round Feistel network and an
    attacker A.
  • A makes forward/inverse queries to Feistel.
  • Can see all intermediate round values.
  • Goal Force a collision of the middle ((k/2)th)
    round values of two different queries.

11
Negative Result
  • We describe an attacker that wins this
    combinatorial game.
  • The attacker makes O(1.62k) queries to the
    k-round Feistel network.
  • Works for arbitrary round functions
  • Hence, works in polynomial time for the O(log
    n)-round Feistel network.

12
Matching Positive Result
  • We find a sufficient combinatorial condition on
    the round functions such that no efficient
    attacker can win if k?(log n).
  • 5-XOR game
  • Same rules as the main combinatorial game.
  • Goal Attacker wins if some new round function
    output XOR of upto 5 previous round values.
  • 5-XOR resistant functions resist such attacks.

Main Theorem If round functions of a k-round
Feistel network are 5-XOR resistant, then no
attacker can find a (k/2)th round value
collision within O(1.38k/2) queries.
13
Matching Positive Result (contd.)
  • This is a purely deterministic result.
  • If attacker does not win the 5-XOR game, then it
    cannot find a (k/2)th round value collision with
    less than O(1.38k/2) queries.
  • Using 5-XOR-resistance?
  • Relatively weak property, easily proven to hold
    for UFs and PRFs
  • Applied to PRFs ? ?(log n) round Feistel is PRP
    (even if the round values are public!).
  • Applied to UFs ? ?(log n) round Feistel is UP
    (even if the round values are public!).
  • Implication to Domain extension of MACs!

14
Domain Extension of MACs
  • Problem Given a fixed-length input (FIL) MAC,
    construct an arbitrary-length input (AIL) MAC.
  • Well studied if FIL-MAC is a PRF (in fact, often
    get AIL-PRF).
  • Also well studied if FIL-MAC is shrinking
    (variants of Cascade construction work)
    AB99,MS05.
  • Grey Area What if the FIL-MAC is neither PRF nor
    shrinking?
  • Perhaps, most practically relevant case!
  • (a) FIL-MAC is typically a block cipher.
  • (b) overkill to assume it is a PRF!

15
Hash-then-MAC
  • Use a hash function to map to a short message,
    then apply the FIL-MAC.
  • If FIL-MAC is a PRF, then an almost-universal
    hash function works.
  • With general FIL-MACs, need collision-resistant
    hash functions!

16
CBC-MAC
  • Popular domain extension technique for MACs
  • Secure if FIL-MAC is a PRF BKR94.
  • Simple attack possible with general FIL-MACs
    AB99.

17
Cascade construction
  • Also called Merkle-Damgard construction.
  • Need a shrinking FIL-MAC.
  • If FIL-MAC is a PRF, one can chop the output and
    apply Cascade.
  • With general FIL-MACs, can chop at most
    logarithmic number of output bits
  • Very Inefficient ( poor exact security)

18
Naor-Reingold construction
  • A very nice technique of getting PRFs from UFs.
  • Need to extract a hardcore bit for every output
    bit of PRF.
  • Very inefficient

19
Feistel Network
  • 3-rounds already secure if FIL-MAC is a PRF.
  • With general FIL-MACs, AB99 gave an attack on
    3-round Feistel.
  • more rounds do not appear to help AB
  • Our result With general FIL-MACs, k-round
    Feistel network is a secure MAC if and only if
    k?(log n).
  • Extend AB99 to show that upto logarithmic
    number of rounds do not help in general.
  • Somewhat surprisingly, secure with more rounds!

20
More efficient AIL-MAC?
  • Above method is still somewhat inefficient for
    large inputs.
  • To get domain size (n?2i), need ?(log n)i round
    Feistel network.
  • Moreover, digest size grows as big as the domain!
  • Can this be improved?
  • Yes!
  • Optimize our technique to get 2n ? n bit MAC.
  • Use existing techniques for shrinking MACs
    (variants of Cascade).

21
More efficient AIL-MAC
  • How to get 2n?n bit MAC?
  • Chop n bits from the Feistel network output?
  • Cannot directly apply our technique.
  • With a little work, show that ?(log n) rounds are
    still necessary and sufficient!
  • Our suggestion to practitioners apply any secure
    variant of Cascade to the 2n?n MAC obtained by
  • Halving the output of an w(log n)-round Feistel
    network applied to any secure n-bit block cipher
  • Halving the output of a secure 2n-bit block
    cipher itself, if the block cipher is already
    Feistel-based!
  • Note this requires at least 256-bit block cipher

22
Other Applications
23
Verifiable Random Functions
  • Verifiable Random Functions (VRFs) are verifiable
    analogues of PRFs.
  • Given secret key SK
  • Can compute VRF f and provide proofs of
    correctness of f outputs.
  • Still cannot give proofs for two different
    outputs for the same input (even for adversarial
    PK!).
  • Given public key PK
  • Can verify proofs of correctness of f outputs.
  • All unproved outputs still look random.
  • Several known constructions MRV,L,DY,D.

24
Verifiable Random Permutations
  • We introduce VRPs, similarly natural verifiable
    analogues of PRPs.
  • Can we build them from VRFs, just like PRPs from
    PRFs?
  • First Attempt Use a 4-round Feistel network with
    VRFs in each round and apply the Luby-Rackoff
    result.
  • Doesnt work need to explicitly give round
    values (and their proofs) to prove VRP outputs.

25
Constructing VRPs from VRFs
  • Use our proof technique that works even if round
    values are public.
  • Result An ?(log n) round Feistel network with
    VRFs as round functions is a verifiable random
    permutation.
  • Cannot improve to O(log n) rounds, since our
    attack works in this case as well.

26
Applications of VRPs
  • Non-interactive setup-free perfectly binding
    commitments.
  • Non-interactive Lottery.
  • Invariant Signatures of GO92 for NIZKs.
  • Verifiable CBC Encryption/Decryption.
  • Verifiable huge (pseudo)random objects.
  • Proof-transferrable implementation of Ideal
    Cipher Model.

27
Non-interactive commitments
  • Non-interactive, setup-free, perfectly-binding
    commitments.
  • Best known construction uses one-way permutations
    (Naors OWF-based commitment uses setup)
  • We note that VRPs work for this purpose.
  • To commit to m, send (?SK(m),PK).
  • To open commitment, send m and the proof for
    ?SK(m).
  • Hiding easy
  • Perfect Binding a permutation even if PK is
    chosen maliciously
  • Note VRFs do not suffice even for computational
    binding!
  • Nevertheless, using our VRF ? VRP construction,
    we get such commitments from VRFs
  • Incomparable assumption to OWPs.

28
Non-interactive Lottery
  • Micali-Rivest suggest using a VRF f.
  • Dealer publishes PK, and user selects X.
  • The user wins if fSK(X) satisfies some
    pre-determined predicate.
  • Problem Dealer can cheat by choosing PK such
    that fSK(X) never satisfies the predicate!
  • Using a VRP instead solves this problem.
  • A permutation even for malicious keys.
  • Moreover, can determine number of winners
    beforehand!

29
VUPs and more
  • We also give a way to construct verifiable
    unpredictable permutations from verifiable
    unpredictable functions.
  • Using ?(log n) round Feistel network.
  • Again, O(log n) rounds is not enough
  • Note this uses full power of our technique.
  • Hopefully, more applications of our technique
    will emerge in future?

30
Summary
  • New understanding of Feistel network with a weak
    security requirement on round functions.
  • 5-XOR-resistance, implied by both UFs PRFs.
  • Number of rounds we predict is closer to the one
    used in current block ciphers.
  • First efficient domain extension for MACs
    (starting with length-preserving MACs).
  • Verifiable Random Permutations and applications.

31
Unpredictable Permutation
UP Theorem A k?(log n) round Feistel
construction with independent UFs in each round
is an unpredictable permutation.
Part I UFs are 5-XOR resistant
f
32
Unpredictable Permutation
UP Theorem A k?(log n) round Feistel
construction with independent UFs in each round
is an unpredictable permutation.
Part II Use the combinatorial Main Theorem to
argue no collisions of (k/2)th
round value.
33
Unpredictable Permutation
UP Theorem A k?(log n) round Feistel
construction with independent UFs in each round
is an unpredictable permutation.
Part III No (k/2)th round collision ? UP
f
No middle round value collision ? Rk/2 is a new
input to f.
34
Main Theorem
Main Theorem If round functions of a k-round
Feistel network are 5-XOR resistant, then no
attacker can find a (k/2)th round value
collision within O(1.38k/2) queries.
Part I Existence of Collision Queries
Rn/2-2b
Rn/2-1b
Rn/2b
Rn/2 in query b Rn/2 in query a
Rn/2-2b
Rn/2-1b
Rn/2b
? fn/2-1(Rn/2-1a)Rn/2b? Rn/2-2a
Rn/2-1 in query b Rn/2-1 in query a
? fn/2-2(Rn/2-2a)Rn/2-1b? Rn/2-3a
Rn/2-2a
Rn/2-1a
Rn/2a
35
Main Theorem
Main Theorem If round functions of a k-round
Feistel network are 5-XOR resistant, then no
attacker can find a (k/2)th round value
collision within O(1.38k/2) queries.
Part II Permitted orders of collision queries.
f(Ri1b3)Rib2? Ri2b1
Rib1
Ri1b1
Ri2b1
Rib2
Ri1b2
Ri2b2
Rib3
Ri1b3
Ri2b3
36
Main Theorem
Main Theorem If round functions of a k-round
Feistel network are 5-XOR resistant, then no
attacker can find a (k/2)th round value
collision within O(1.38k/2) queries.
Part III More and more and more collision
queries!
Rib1
Ri1b1
Ri2b1
Rib2
Ri1b2
Ri2b2
f(Ri-1b3)Ri-2b3? f(Ri1b2)? Ri2b1
Ri-1c1
Ri-2b3? Ri2b2? Rib2? Ri2b1
Rib3
Ri1b3
Ri2b3
Ri-1b3
Ri-2b3
37
Main Theorem
Main Theorem If round functions of a k-round
Feistel network are 5-XOR resistant, then no
attacker can find a (k/2)th round value
collision within O(1.38k/2) queries.
  • Show that we are not double counting queries.
  • Formulate a recursion on the number of queries to
    get a closed form expression.

38
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