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Part 1  Cryptography 1 Chapter 5: Hash Functions++ “I'm sure [my memory] only works one way.” Alice remarked. “I can't remember things before they happen.”

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Presentation on theme: "Part 1  Cryptography 1 Chapter 5: Hash Functions++ “I'm sure [my memory] only works one way.” Alice remarked. “I can't remember things before they happen.”"— Presentation transcript:

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2 Part 1  Cryptography 1 Chapter 5: Hash Functions++ “I'm sure [my memory] only works one way.” Alice remarked. “I can't remember things before they happen.” “It's a poor sort of memory that only works backwards,” the Queen remarked. “What sort of things do you remember best?" Alice ventured to ask. “Oh, things that happened the week after next," the Queen replied in a careless tone.  Lewis Carroll, Through the Looking Glass

3 Part 1  Cryptography 2 Chapter 5: Hash Functions++ A boat, beneath a sunny sky Lingering onward dreamily In an evening of July  Children three that nestle near, Eager eye and willing ear,...  Lewis Carroll, Through the Looking Glass

4 Part 1  Cryptography 3 Hash Function Motivation  Suppose Alice signs M o Alice sends M and S = [M] Alice to Bob o Bob verifies that M = {S} Alice o Can Alice just send S ?  If M is big, [M] Alice costly to compute & send  Suppose instead, Alice signs h(M), where h(M) is much smaller than M o Alice sends M and S = [h(M)] Alice to Bob o Bob verifies that h(M) = {S} Alice

5 Part 1  Cryptography 4 Hash Function Motivation  So, Alice signs h(M) o That is, Alice computes S = [h(M)] Alice o Alice then sends (M, S) to Bob o Bob verifies that h(M) = {S} Alice  What properties must h(M) satisfy? o Suppose Trudy finds M’ so that h(M) = h(M’) o Then Trudy can replace (M, S) with (M’, S)  Does Bob detect this tampering? o No, since h(M’) = h(M) = {S} Alice

6 Part 1  Cryptography 5 Crypto Hash Function  Crypto hash function h(x) must provide o Compression  output length is small o Efficiency  h(x) easy to compute for any x o One-way  given a value y it is infeasible to find an x such that h(x) = y o Weak collision resistance  given x and h(x), infeasible to find y  x such that h(y) = h(x) o Strong collision resistance  infeasible to find any x and y, with x  y such that h(x) = h(y)  Lots of collisions exist, but hard to find any

7 Part 1  Cryptography 6 Pre-Birthday Problem  Suppose N people in a room  How large must N be before the probability someone has same birthday as me is  1/2 ? o Solve: 1/2 = 1  (364/365) N for N o We find N = 253

8 Part 1  Cryptography 7 Birthday Problem  How many people must be in a room before probability is  1/2 that any two (or more) have same birthday? o 1  365/365  364/365    (365  N+1)/365 o Set equal to 1/2 and solve: N = 23  Surprising? A paradox?  Maybe not: “Should be” about sqrt(365) since we compare all pairs x and y o And there are 365 possible birthdays

9 Part 1  Cryptography 8 Of Hashes and Birthdays  If h(x) is N bits, 2 N different hash values are possible  So, if you hash about 2 N/2 random values then you expect to find a collision o Since sqrt(2 N ) = 2 N/2  Implication: secure N bit symmetric key requires 2 N  1 work to “break” while secure N bit hash requires 2 N/2 work to “break” o Exhaustive search attacks, that is

10 Part 1  Cryptography 9 Non-crypto Hash (1)  Data X = (X 0,X 1,X 2,…,X n-1 ), each X i is a byte  Define h(X) = X 0 +X 1 +X 2 +…+X n-1  Is this a secure cryptographic hash?  Example: X = ( , )  Hash is h(X) =  If Y = ( , ) then h(X) = h(Y)  Easy to find collisions, so not secure…

11 Part 1  Cryptography 10 Non-crypto Hash (2)  Data X = (X 0,X 1,X 2,…,X n-1 )  Suppose hash is defined as h(X) = nX 0 +(n  1)X 1 +(n  2)X 2 +…+1  X n-1  Is this a secure cryptographic hash?  Note that h( , )  h( , )  But hash of ( , ) is same as hash of ( , )  Not “secure”, but this hash is used in the (non-crypto) application rsyncrsync

12 Part 1  Cryptography 11 Non-crypto Hash (3)  Cyclic Redundancy Check (CRC)  Essentially, CRC is the remainder in a long division calculation  Good for detecting burst errors o Random errors unlikely to yield a collision  But easy to construct collisions  CRC has been mistakenly used where crypto integrity check is required (e.g., WEP)

13 Part 1  Cryptography 12 Popular Crypto Hashes  MD5  invented by Rivest o 128 bit output o Note: MD5 collisions easy to find  SHA-1  A U.S. government standard, inner workings similar to MD5 o 160 bit output  Many other hashes, but MD5 and SHA-1 are the most widely used  Hashes work by hashing message in blocks

14 Part 1  Cryptography 13 Crypto Hash Design  Desired property: avalanche effect o Change to 1 bit of input should affect about half of output bits  Crypto hash functions consist of some number of rounds  Want security and speed o Avalanche effect after few rounds o But simple rounds  Analogous to design of block ciphers

15 Part 1  Cryptography 14 Tiger Hash  “Fast and strong”  Designed by Ross Anderson and Eli Biham  leading cryptographers  Design criteria o Secure o Optimized for 64-bit processors o Easy replacement for MD5 or SHA-1

16 Part 1  Cryptography 15 Tiger Hash  Like MD5/SHA-1, input divided into 512 bit blocks (padded)  Unlike MD5/SHA-1, output is 192 bits (three 64-bit words) o Truncate output if replacing MD5 or SHA-1  Intermediate rounds are all 192 bits  4 S-boxes, each maps 8 bits to 64 bits  A “key schedule” is used

17 Part 1  Cryptography 16 Tiger Outer Round F7F7 F9F9  W  cab cab F5F5 key schedule  Input is X o X = (X 0,X 1,…,X n-1 ) o X is padded o Each X i is 512 bits  There are n iterations of diagram at left o One for each input block  Initial (a,b,c) constants  Final (a,b,c) is hash  Looks like block cipher! cab W W XiXi

18 Part 1  Cryptography 17 Tiger Inner Rounds f m,0 f m.1 f m,2 f m,7 w0w0 w1w1 w2w2 w7w7 cab cab  Each F m consists of precisely 8 rounds  512 bit input W to F m o W=(w 0,w 1,…,w 7 ) o W is one of the input blocks X i  All lines are 64 bits  The f m,i depend on the S-boxes (next slide)

19 Part 1  Cryptography 18 Tiger Hash: One Round  Each f m,i is a function of a,b,c,w i and m o Input values of a,b,c from previous round o And w i is 64-bit block of 512 bit W o Subscript m is multiplier o And c = (c 0,c 1,…,c 7 )  Output of f m,i is o c = c  w i o a = a  (S 0 [c 0 ]  S 1 [c 2 ]  S 2 [c 4 ]  S 3 [c 6 ]) o b = b + (S 3 [c 1 ]  S 2 [c 3 ]  S 1 [c 5 ]  S 0 [c 7 ]) o b = b  m  Each S i is S-box: 8 bits mapped to 64 bits

20 Part 1  Cryptography 19 Tiger Hash Key Schedule  Input is X o X=(x 0,x 1,…,x 7 )  Small change in X will produce large change in key schedule output x 0 = x 0  (x 7  0xA5A5A5A5A5A5A5A5) x 1 = x 1  x 0 x 2 = x 2  x 1 x 3 = x 3  (x 2  ((~x 1 ) << 19)) x 4 = x 4  x 3 x 5 = x 5 +x 4 x 6 = x 6  (x 5  ((~x 4 ) >> 23)) x 7 = x 7  x 6 x 0 = x 0 +x 7 x 1 = x 1  (x 0  ((~x 7 ) << 19)) x 2 = x 2  x 1 x 3 = x 3 +x 2 x 4 = x 4  (x 3  ((~x 2 ) >> 23)) x 5 = x 5  x 4 x 6 = x 6 +x 5 x 7 = x 7  (x 6  0x ABCDEF)

21 Part 1  Cryptography 20 Tiger Hash Summary (1)  Hash and intermediate values are 192 bits  24 (inner) rounds o S-boxes: Claimed that each input bit affects a, b and c after 3 rounds o Key schedule: Small change in message affects many bits of intermediate hash values o Multiply: Designed to ensure that input to S-box in one round mixed into many S-boxes in next  S-boxes, key schedule and multiply together designed to ensure strong avalanche effect

22 Part 1  Cryptography 21 Tiger Hash Summary (2)  Uses lots of ideas from block ciphers o S-boxes o Multiple rounds o Mixed mode arithmetic  At a higher level, Tiger employs o Confusion o Diffusion

23 Part 1  Cryptography 22 HMAC  Can compute a MAC of the message M with key K using a “hashed MAC ” or HMAC  HMAC is a keyed hash o Why would we need a key?  How to compute HMAC ?  Two obvious choices: h(K,M) and h(M,K)  Which is better?

24 Part 1  Cryptography 23 HMAC  Should we compute HMAC as h(K,M) ?  Hashes computed in blocks o h(B 1,B 2 ) = F(F(A,B 1 ),B 2 ) for some F and constant A o Then h(B 1,B 2 ) = F(h(B 1 ),B 2 )  Let M’ = (M,X) o Then h(K,M’) = F(h(K,M),X) o Attacker can compute HMAC of M’ without K  Is h(M,K) better? o Yes, but… if h(M’) = h(M) then we might have h (M,K)=F(h(M),K)=F(h(M’),K)=h(M’,K)

25 Part 1  Cryptography 24 The Right Way to HMAC  Described in RFC 2104  Let B be the block length of hash, in bytes o B = 64 for MD5 and SHA-1 and Tiger  ipad = 0x36 repeated B times  opad = 0x5C repeated B times  Then HMAC(M,K) = h(K  opad, h(K  ipad, M))

26 Part 1  Cryptography 25 Hash Uses  Authentication ( HMAC )  Message integrity ( HMAC )  Message fingerprint  Data corruption detection  Digital signature efficiency  Anything you can do with symmetric crypto  Also, many, many clever/surprising uses…

27 Part 1  Cryptography 26 Online Bids  Suppose Alice, Bob and Charlie are bidders  Alice plans to bid A, Bob B and Charlie C  They don’t trust that bids will stay secret  A possible solution? o Alice, Bob, Charlie submit hashes h(A), h(B), h(C) o All hashes received and posted online o Then bids A, B, and C submitted and revealed  Hashes don’t reveal bids (one way)  Can’t change bid after hash sent (collision)  But there is a flaw here…

28 Part 1  Cryptography 27 Spam Reduction  Spam reduction  Before accept , want proof that sender spent effort to create o Here, effort == CPU cycles  Goal is to limit the amount of that can be sent o This approach will not eliminate spam o Instead, make spam more costly to send

29 Part 1  Cryptography 28 Spam Reduction  Let M = message R = value to be determined T = current time  Sender must find R so that h(M,R,T) = (00…0,X), where N initial bits of hash value are all zero  Sender then sends (M,R,T)  Recipient accepts , provided that… h(M,R,T) begins with N zeros

30 Part 1  Cryptography 29 Spam Reduction  Sender: h(M,R,T) begins with N zeros  Recipient: verify that h(M,R,T) begins with N zeros  Work for sender: about 2 N hashes  Work for recipient: always 1 hash  Sender’s work increases exponentially in N  Small work for recipient regardless of N  Choose N so that… o Work acceptable for normal users o Work is too high for spammers

31 Part 1  Cryptography 30 Secret Sharing

32 Part 1  Cryptography 31 Shamir’s Secret Sharing (X 0,Y 0 )(X 1,Y 1 ) (0,S)  Two points determine a line  Give (X 0,Y 0 ) to Alice  Give (X 1,Y 1 ) to Bob  Then Alice and Bob must cooperate to find secret S  Also works in discrete case  Easy to make “ m out of n ” scheme for any m  n X Y 2 out of 2

33 Part 1  Cryptography 32 Shamir’s Secret Sharing (X 0,Y 0 ) (X 1,Y 1 ) (0,S)  Give (X 0,Y 0 ) to Alice  Give (X 1,Y 1 ) to Bob  Give (X 2,Y 2 ) to Charlie  Then any two can cooperate to find secret S  But one can’t find secret S  A “2 out of 3” scheme X Y (X 2,Y 2 ) 2 out of 3

34 Part 1  Cryptography 33 Shamir’s Secret Sharing (X 0,Y 0 ) (X 1,Y 1 ) (0,S)  Give (X 0,Y 0 ) to Alice  Give (X 1,Y 1 ) to Bob  Give (X 2,Y 2 ) to Charlie  3 pts determine parabola  Alice, Bob, and Charlie must cooperate to find S  A “3 out of 3” scheme  What about “3 out of 4”? X Y (X 2,Y 2 ) 3 out of 3

35 Part 1  Cryptography 34 Secret Sharing Example  Key escrow  suppose it’s required that your key be stored somewhere  Key can be “recovered” with court order  But you don’t trust FBI to store your keys  We can use secret sharing o Say, three different government agencies o Two must cooperate to recover the key

36 Part 1  Cryptography 35 Secret Sharing Example (X 0,Y 0 ) (X 1,Y 1 ) (0,K)  Your symmetric key is K  Point (X 0,Y 0 ) to FBI  Point (X 1,Y 1 ) to DoJ  Point (X 2,Y 2 ) to DoC  To recover your key K, two of the three agencies must cooperate  No one agency can get K X Y (X 2,Y 2 )

37 Part 1  Cryptography 36 Visual Cryptography  Another form of secret sharing…  Alice and Bob “share” an image  Both must cooperate to reveal the image  Nobody can learn anything about image from Alice’s share or Bob’s share o That is, both shares are required  Is this possible?

38 Part 1  Cryptography 37 Visual Cryptography  How to share a pixel?  Suppose image is black and white  Then each pixel is either black or white  We split pixels as shown

39 Part 1  Cryptography 38 Sharing a B&W Image  If pixel is white, randomly choose a or b for Alice’s/Bob’s shares  If pixel is black, randomly choose c or d  No information in one “share”

40 Part 1  Cryptography 39 Visual Crypto Example  Alice’s share  Bob’s share  Overlaid shares

41 Part 1  Cryptography 40 Visual Crypto  How does visual “crypto” compare to regular crypto?  In visual crypto, no key… o Or, maybe both images are the key?  With encryption, exhaustive search o Except for a one-time pad  Exhaustive search on visual crypto? o No exhaustive search is possible!

42 Part 1  Cryptography 41 Visual Crypto  Visual crypto  no exhaustive search…  How does visual crypto compare to crypto? o Visual crypto is “information theoretically” secure  true of other secret sharing schemes o With regular encryption, goal is to make cryptanalysis computationally infeasible  Visual crypto an example of secret sharing o Not really a form of crypto, in the usual sense

43 Part 1  Cryptography 42 Random Numbers in Cryptography

44 Part 1  Cryptography 43 Random Numbers  Random numbers used to generate keys o Symmetric keys o RSA: Prime numbers o Diffie Hellman: secret values  Random numbers used for nonces o Sometimes a sequence is OK o But sometimes nonces must be random  Random numbers also used in simulations, statistics, etc. o Such numbers need to be “statistically” random

45 Part 1  Cryptography 44 Random Numbers  Cryptographic random numbers must be statistically random and unpredictable  Suppose server generates symmetric keys… o Alice: K A o Bob: K B o Charlie: K C o Dave: K D  But, Alice, Bob, and Charlie don’t like Dave  Alice, Bob, and Charlie working together must not be able to determine K D

46 Part 1  Cryptography 45 Non-random Random Numbers  Random numbers used to shuffle the deck  Program did not produce a random shuffle  A serious problem or not?  Online version of Texas Hold ‘em Poker o ASF Software, Inc.

47 Part 1  Cryptography 46 Card Shuffle  There are 52! > possible shuffles  The poker program used “random” 32-bit integer to determine the shuffle o So, only 2 32 distinct shuffles could occur  Code used Pascal pseudo-random number generator (PRNG): Randomize()  Seed value for PRNG was function of number of milliseconds since midnight  Less than 2 27 milliseconds in a day o So, less than 2 27 possible shuffles

48 Part 1  Cryptography 47 Card Shuffle  Seed based on milliseconds since midnight  PRNG re-seeded with each shuffle  By synchronizing clock with server, number of shuffles that need to be tested  2 18  Could then test all 2 18 in real time o Test each possible shuffle against “up” cards  Attacker knows every card after the first of five rounds of betting!

49 Part 1  Cryptography 48 Poker Example  Poker program is an extreme example o But common PRNGs are predictable o Only a question of how many outputs must be observed before determining the sequence  Crypto random sequences not predictable o For example, keystream from RC4 cipher o But “seed” (or key) selection is still an issue!  How to generate initial random values? o Keys (and, in some cases, seed values)

50 Part 1  Cryptography 49 What is Random?  True “randomness” hard to define  Entropy is a measure of randomness  Good sources of “true” randomness o Radioactive decay  radioactive computers are not too popular o Hardware devices  many good ones on the market o Lava lamp  relies on chaotic behavior Lava lamp

51 Part 1  Cryptography 50 Randomness  Sources of randomness via software o Software is (hopefully) deterministic o So must rely on external “random” events o Mouse movements, keyboard dynamics, network activity, etc., etc.  Can get quality random bits by such methods  But quantity of bits is very limited  Bottom line: “The use of pseudo-random processes to generate secret quantities can result in pseudo-security”

52 Part 1  Cryptography 51 Information Hiding

53 Part 1  Cryptography 52 Information Hiding  Digital Watermarks o Example: Add “invisible” identifier to data o Defense against music or software piracy  Steganography o “Secret” communication channel o Similar to a covert channel (more on this later) o Example: Hide data in image or music file

54 Part 1  Cryptography 53 Watermark  Add a “mark” to data  Visibility of watermarks o Invisible  Watermark is not obvious o Visible  Such as TOP SECRET  Robustness of watermarks o Robust  Readable even if attacked o Fragile  Damaged if attacked

55 Part 1  Cryptography 54 Watermark Examples  Add robust invisible mark to digital music o If pirated music appears on Internet, can trace it back to original source of the leak  Add fragile invisible mark to audio file o If watermark is unreadable, recipient knows that audio has been tampered (integrity)  Combinations of several types are sometimes used o E.g., visible plus robust invisible watermarks

56 Part 1  Cryptography 55 Watermark Example (1)  Non-digital watermark: U.S. currency  Image embedded in paper on rhs o Hold bill to light to see embedded info

57 Part 1  Cryptography 56 Watermark Example (2)  Add invisible watermark to photo  Claimed that 1 inch 2 contains enough info to reconstruct entire photo  If photo is damaged, watermark can be used to reconstruct it!

58 Part 1  Cryptography 57 Steganography  According to Herodotus (Greece 440 BC) o Shaved slave’s head o Wrote message on head o Let hair grow back o Send slave to deliver message o Shave slave’s head to expose message  warning of Persian invasion  Historically, steganography used more often than cryptography

59 Part 1  Cryptography 58 Images and Steganography  Images use 24 bits for color: RGB o 8 bits for red, 8 for green, 8 for blue  For example o 0x7E 0x52 0x90 is this color o 0xFE 0x52 0x90 is this color  While o 0xAB 0x33 0xF0 is this color o 0xAB 0x33 0xF1 is this color  Low-order bits don’t matter…

60 Part 1  Cryptography 59 Images and Stego  Given an uncompressed image file… o For example, BMP format  …we can insert information into low-order RGB bits  Since low-order RGB bits don’t matter, result will be “invisible” to human eye o But, computer program can “see” the bits

61 Part 1  Cryptography 60 Stego Example 1  Left side: plain Alice image  Right side: Alice with entire Alice in Wonderland (pdf) “hidden” in the image

62 Part 1  Cryptography 61 Non-Stego Example  “View source” reveals: "The time has come," the Walrus said, "To talk of many things: Of shoes and ships and sealing wax Of cabbages and kings And why the sea is boiling hot And whether pigs have wings."  Walrus.html in web browser

63 Part 1  Cryptography 62 Stego Example 2  “View source” reveals: "The time has come," the Walrus said, "To talk of many things: Of shoes and ships and sealing wax Of cabbages and kings And why the sea is boiling hot And whether pigs have wings."  stegoWalrus.html in web browser  “Hidden” message:

64 Part 1  Cryptography 63 Steganography  Some formats (e.g., image files) are more difficult than html for humans to read o But easy for computer programs to read…  Easy to hide info in unimportant bits  Easy to destroy info in unimportant bits  To be robust, must use important bits o But stored info must not damage data o Collusion attacks are another concern  Robust steganography is tricky!

65 Part 1  Cryptography 64 Information Hiding: The Bottom Line  Not-so-easy to hide digital information o “Obvious” approach is not robust o Stirmark: tool to make most watermarks in images unreadable without damaging the image o Stego/watermarking active research topics  If information hiding is suspected o Attacker may be able to make information/watermark unreadable o Attacker may be able to read the information, given the original document (image, audio, etc.)


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