Îãëàâëåíèå

Êðèïòîñèñòåìà Õèëëà        3

Ïðèìåð-øèôðîâàíèå        3

Ïðèìåð-ðàñøèôðîâàíèå        4

Ðàñøèðåííûé àëãîðèòì Åâêëèäà        5

Çàäàíèå 1        7

Çàäàíèå 2        7

Çàäàíèå 3        8

Çàäàíèå 4        8

Ðåæèìû øèôðîâàíèÿ        9

Çàäàíèå 5        12

Çàäàíèå 6        12

Çàäàíèå 7        12

Çàäàíèå 8        12

Çàäàíèå 9        13

Çàäàíèå 10        13

Çàäàíèå 11        13

Çàäàíèå 12        13

Çàäàíèå 13        14

Çàäàíèå 14        14

Çàäàíèå 15        14

Çàäàíèå 16        14

Çàäàíèå 17        14

Çàäàíèå 18        15

×àñòîòíûé àíàëèç        16

Çàäàíèå 19        17

Ïðèìåð äåøèôðàöèè êðèïòîãðàììû        18

Âàðèàíòû ê çàäàíèþ 19        21

1        21

2        21

3        21

4        21

5        21

6        21

7        22

8        22

9        22

ÍÅ íàøëè? Íå òî? ×òî âû èùåòå?

10        22

11        22

12        22

13        23

14        23

15        23

16        23

17        23

18        24

19        24

20        24

Ëèòåðàòóðà        25

Êðèïòîñèñòåìà Õèëëà


Øèôð çàìåíû. Òîëüêî çàìåíà âûïîëíÿåòñÿ íå ñèìâîëà íà ñèìâîë, à áëîêà ñèìâîëîâ íà áëîê ñèìâîëîâ. Òàêîé øèôð íàçûâàþò áëî÷íûì. Ðàññìîòðèì ñëó÷àé, êîãäà áëîê ñîñòîèò èç äâóõ ñèìâîëîâ. Èäåÿ çàìåíû áûëà ïðåäëîæåíà Õèëëîì â ñòàòüÿõ: L. S. Hill, "Concerning certain linear transformation  apparatus  of cryptography",  American  Mathematical Monthly, Volume 38  (1931), 135-154. Lester S. Hill, Cryptography in an Algebraic Alphabet, The American Mathematical Monthly Vol.36, June–July 1929, pp. 306–312.

Ïðèìåð-øèôðîâàíèå

Ðàññìîòðèì ñîîáùåíèå:

THE GOLD IS BURIED IN ORONO.

Ñôîðìèðóåì áëîêè ïî 2 ñèìâîëà:

TH EG OL DI SB UR IE DI NO RO NO.

Ò. ê. ó êàæäîãî ñèìâîëà åñòü ñâîé ÷èñëîâîé ýêâèâàëåíò (òàáë.1), òî ïîëó÷åííûå áëîêè áóäóò âûãëÿäåòü òàê:

19 7  4 6  14 11  3 8  18 1  20 17  8 4  3 8  13 14  17 14  13 14.

  Òàáëèöà 1

Êàæäûé áëîê èç äâóõ ÷èñåë èñõîäíîãî ñîîáùåíèÿ ïðåîáðàçóåòñÿ â áëîê èç äâóõ ÷èñåë çàøèôðîâàííîãî ñîîáùåíèÿ ïî ñëåäóþùåé ôîðìóëå:

ãäå , , À – ìàòðèöà ðàçìåðíîñòè 2x2.

Ïóñòü , òîãäà øèôðîâàíèå ïåðâîãî áëîêà áóäåò âûãëÿäåòü òàê:

ãäå

 

Åñëè ïðèìåíèòü ýòó ôîðìóëó êî âñåì áëîêàì, òî ïîëó÷èì ñëåäóþùèé ðåçóëüòàò:

6 25  18 2  23 13  21 2  3 9  25 23  4 14  21 2  17 2  1l l8  l7 2.

Èëè â ñèìâîëüíîì âèäå:

GZ SC XN VC DJ ZX EO VC RC LS RC.

Ïðèìåð-ðàñøèôðîâàíèå

Ðàñøèôðîâàíèå âûïîëíÿåòñÿ ïî ôîðìóëå:

,

ãäå - îáðàòíàÿ ê ìàòðèöà ïî mod 26.

Äëÿ ìàòðèöû

åñëè îïðåäåëèòåëü

ÿâëÿåòñÿ âçàèìíî ïðîñòûì ñî çíà÷åíèåì ìîäóëÿ (â äàííîì ñëó÷àå 26), òî

îáðàòíóþ ìàòðèöó ìîæíî íàéòè ïî ñëåäóþùåé ôîðìóëå:

ãäå - îáðàòíîå çíà÷åíèå ïî óìíîæåíèþ äëÿ ïî ìîäóëþ 26.

Äëÿ ìàòðèöû îáðàòíàÿ ïî ìîäóëþ 26 áóäåò ìàòðèöà

.

Òîãäà, ðàñøèôðîâêà, íàïðèìåð, ïåðâîãî çàøèôðîâàííîãî áëîêà áóäåò òàêîé:

,

ãäå

 

Ðàñøèðåííûé àëãîðèòì Åâêëèäà

Äëÿ ïîèñêà îáðàòíîãî çíà÷åíèÿ ïî óìíîæåíèþ ïðèìåíÿþò ðàñøèðåííûé àëãîðèòì Åâêëèäà ðèñ.1.

– Ðàñøèðåííûé àëãîðèòì Åâêëèäà [1]

Ðåàëèçàöèÿ â Python:

def findModInverse(a, m):

  # Returns the modular inverse of a % m, which is

  # the number x such that a*x % m = 1

  if gcd(a, m) != 1:

  return None  # no mod inverse if a & m aren't relatively prime

  # Calculate using the Extended Euclidean Algorithm:

  u1, u2, u3 = 1, 0, a

  v1, v2, v3 = 0, 1, m

  while v3 != 0:

  q = u3 // v3  # // is the integer division operator

  v1, v2, v3, u1, u2, u3 = (u1 - q * v1), (u2 - q * v2), (u3 - q * v3), v1, v2, v3

return u1 % m


 ïðèâåäåííîì êîäå èñïîëüçóåòñÿ ôóíêöèÿ gcd –ðåàëèçàöèÿ àëãîðèòìà Åâêëèäà ïîèñêà íàèáîëüøåãî îáùåãî äåëèòåëÿ äâóõ ÷èñåë (ðèñ.2):

– Àëãîðèì Åâêëèäà [1]

Ðåàëèçàöèÿ â Python:

def gcd(a, b):

  # Return the GCD of a and b using Euclid's Algorithm

  while a!= 0:

  a, b = b % a, a

return b


Çàäàíèå 1

Íàéòè îáðàòíîå çíà÷åíèå ïî óìíîæåíèþ äëÿ 550 ïî mod 1759.  òàáëèöå ïîêàçàíà ïîøàãîâàÿ ðåàëèçàöèÿ àëãîðèòìà, ïðèâåäåííîãî íà ðèñ.1.

Ïðîâåðèòü ïîëó÷åííûé ðåçóëüòàò ñ ïîìîùüþ ôóíêöèè findModInverse. Äëÿ ýòîãî ôóíêöèè gcd è findModInverse çàïèñàòü â ôàéë utilFunctions. py. Ïîñëå ýòîãî èìïîðòèðîâàòü â ñâîþ ïðîãðàììó ôóíêöèþ findModInverse:

from utilFunctions import findModInverse

Íàéòè îáðàòíîå äëÿ à=141:

a_inv = findModInverse(a, 256)

Çàäàíèå 2

Ðàñøèôðîâàòü ôàéë im3_hill_c_all. bmp. Êëþ÷ – ìàòðèöà K=[[189  58]

[ 21 151]].

×òîá ñäåëàòü êîä íàãëÿäíåé, ìîæíî èìïîðòèðîâàòü ôóíêöèè äëÿ ÷òåíèÿ è çàïèñè äàííûõ èç ôàéëà òàê:

from read_write_file import read_data_1byte as read

from read_write_file import write_data_1byte as write

Òîãäà, ïðî÷èòàòü äàííûå èç ôàéëà:

c_data = read('im3_hill_c_all. bmp ')

Çàäàíèå 3

Äåøèôðîâàòü png-ôàéë b4_hill_c_all. png. Ïåðâûå ÷åòûðå áàéòà â ëþáîì png-ôàéëå: 137, 80, 78, 71.

Çàäàíèå 4

Äåøèôðîâàòü ôàéë text2_hill_c_all. txt. Èçâåñòíî, ÷òî òåêñò â ôàéëå íà÷èíàåòñÿ ñî ñëîâà Whose.

Ðåæèìû øèôðîâàíèÿ

Äîïîëíèòü íèæåïðèâåäåííûå ñõåìû îïèñàíèåì ïðåèìóùåñòâ è íåäîñòàòêîâ ïåðå÷èñëåííûõ ðåæèìîâ øèôðîâàíèÿ.

Ðàññìîòðåííûå ðàíåå àëãîðèòìû âûïîëíÿëèñü â ðåæèìå ECB (ðèñ.3).

– Øèôðîâàíèå â ðåæèìå ECB

Ðåæèì øèôðîâàíèÿ CBC (ðèñ.4, 5).

–  Øèôðîâàíèå â ðåæèìå CBC

– Ðàñøèôðîâàíèå â ðåæèìå CBC

Ðåæèì øèôðîâàíèÿ OFB (ðèñ.6, 7).

– Øèôðîâàíèå â ðåæèìå OFB

– Ðàñøèôðîâàíèå â ðåæèìå OFB

Ðåæèì øèôðîâàíèÿ CFB (ðèñ.8, 9).

– Øèôðîâàíèå â ðåæèìå CFB

– Ðàñøèôðîâàíèå â ðåæèìå CFB

Ðåæèì øèôðîâàíèÿ CTR (ðèñ.10, 11).

– Øèôðîâàíèå â ðåæèìå CTR

– Ðàñøèôðîâàíèå â ðåæèìå CTR

Çàäàíèå 5

Ïðîâåðüòå, ÷òî äëÿ äàííûõ [1, 2, 3, 4] ðåçóëüòàò øèôðîâàíèÿ â ðåæèìå CBC øèôðîì Öåçàðÿ ñ êëþ÷îì 3 è âåêòîðîì èíèöèàëèçàöèè 1 áóäåò [3, 4, 10, 17].

Çàäàíèå 6

Ðàñøèôðîâàòü ôàéë z1_caesar_cbc_c_all. bmp – çàøèôðîâàííîå øèôðîì Öåçàðÿ èçîáðàæåíèå â ôîðìàòå bmp. Ðåæèì øèôðîâàíèÿ CBC (ðèñ. 4, 5). Êëþ÷ ðàâåí 223. Âåêòîð èíèöèàëèçàöèè ðàâåí 59. Çàøèôðîâàòü â ðåæèìå ECB è â ðåæèìå CBC, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ. Ñðàâíèòü ïîëó÷åííûå èçîáðàæåíèÿ.

Çàäàíèå 7

Ðàñøèôðîâàòü ôàéë im8_caesar_ofb_c_all. bmp – çàøèôðîâàííîå øèôðîì Öåçàðÿ èçîáðàæåíèå â ôîðìàòå bmp. Ðåæèì øèôðîâàíèÿ OFB (ðèñ. 6, 7). Êëþ÷ ðàâåí 56. Âåêòîð èíèöèàëèçàöèè ðàâåí 9. Çàøèôðîâàòü â ðåæèìå ECB è â ðåæèìå OFB, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ. Ñðàâíèòü ïîëó÷åííûå èçîáðàæåíèÿ.

Çàäàíèå 8

Ðàñøèôðîâàòü ôàéë z2_caesar_cfb_c_all. bmp – çàøèôðîâàííîå øèôðîì Öåçàðÿ èçîáðàæåíèå â ôîðìàòå bmp. Ðåæèì øèôðîâàíèÿ CFB (ðèñ. 5, 6). Êëþ÷ ðàâåí 174. Âåêòîð èíèöèàëèçàöèè ðàâåí 9. Çàøèôðîâàòü â ðåæèìå ECB è â ðåæèìå ÑFB, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ. Ñðàâíèòü ïîëó÷åííûå èçîáðàæåíèÿ.

Çàäàíèå 9

Ðàñøèôðîâàòü ôàéë z3_caesar_ctr_c_all. bmp – çàøèôðîâàííîå øèôðîì Öåçàðÿ èçîáðàæåíèå â ôîðìàòå bmp. Ðåæèì øèôðîâàíèÿ CTR (ðèñ. 7, 8). Êëþ÷ ðàâåí 223. Âåêòîð èíèöèàëèçàöèè ðàâåí 78. Çàøèôðîâàòü â ðåæèìå ECB è â ðåæèìå CTR, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ. Ñðàâíèòü ïîëó÷åííûå èçîáðàæåíèÿ.

Çàäàíèå 10

Äëÿ îäíîãî èç ðàñøèôðîâàííûõ èçîáðàæåíèé âûïîëíèòü ñëåäóþùåå: íà îäíîì è òîì æå êëþ÷å è âåêòîðå èíèöèàëèçàöèè çàøèôðîâàòü âî âñåõ ðàññìîòðåííûõ ðåæèìàõ, âêëþ÷àÿ ECB, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ. Ñðàâíèòü ïîëó÷åííûå èçîáðàæåíèÿ.

Çàäàíèå 11

Ðàñøèôðîâàòü ôàéë z5_vigener_cbc_c_all. bmp. Øèôð Âèæåíåðà. Ðåæèì CBC. Êëþ÷: MODELING, âåêòîð èíèöèàëèçàöèè: 67. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 12

Ðàñøèôðîâàòü ôàéë im4_vigener_ofb_c_all. bmp. Øèôð Âèæåíåðà. Ðåæèì OFB. Êëþ÷: MODULATOR, âåêòîð èíèöèàëèçàöèè: 217. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 13

Ðàñøèôðîâàòü ôàéë im5_vigener_cfb_c_all. bmp. Øèôð Âèæåíåðà. Ðåæèì CFB. Êëþ÷: MONARCH, âåêòîð èíèöèàëèçàöèè: 172. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 14

Ðàñøèôðîâàòü ôàéë z6_vigener_ctr_c_all. bmp. Øèôð Âèæåíåðà. Ðåæèì CTR. Êëþ÷: MONOLITH, âåêòîð èíèöèàëèçàöèè: 167. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 15

Ðàñøèôðîâàòü ôàéë im15_affine_cbc_c_all. bmp. Øèôð àôôèííûé. Ðåæèì CBC. a= 129 b= 107 iv =  243. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 16

Ðàñøèôðîâàòü ôàéë im16_affine_ofb_c_all. bmp. Øèôð àôôèííûé. Ðåæèì OFB. a= 233 b= 216 iv =  141. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 17

Ðàñøèôðîâàòü ôàéë im17_affine_ñfb_c_all. bmp. Øèôð àôôèííûé. Ðåæèì CFB. a= 117 b= 239 iv =  19. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.

Çàäàíèå 18

Ðàñøèôðîâàòü ôàéë z4_affine_ñtr_c_all. bmp. Øèôð àôôèííûé. Ðåæèì CTR. a= 61, b= 18, iv =  92. Çàøèôðîâàòü, îñòàâèâ ïåðâûå 50 áàéò áåç èçìåíåíèÿ.


×àñòîòíûé àíàëèç


Âñå åñòåñòâåííûå ÿçûêè èìåþò õàðàêòåðíîå ÷àñòîòíîå ðàñïðåäåëåíèå ñèìâîëîâ. Íàïðèìåð, áóêâà “Î” _ âñòðå÷àåòñÿ â ðóññêîì ÿçûêå ÷àùå äðóãèõ, à áóêâà “Ô” – ñàìàÿ ðåäêàÿ (òàáë. 2).

Ìîíîàëôàâèòíûå ïîäñòàíîâêè îáëàäàþò âàæíûì ñâîéñòâîì: îíè íå íàðóøàþò ÷àñòîò ïîÿâëåíèÿ ñèìâîëîâ, õàðàêòåðíûõ äëÿ äàííîãî ÿçûêà. Ýòî ïîçâîëÿåò êðèïòîàíàëèòèêó ëåãêî ïîëó÷èòü îòêðûòûé òåêñò ïðè ïîìîùè ÷àñòîòíîãî àíàëèçà. Äëÿ ýòîãî íóæíî ñîïîñòàâèòü ÷àñòîòû ïîÿâëåíèÿ ñèìâîëîâ øèôðà ñ âåðîÿòíîñòÿìè ïîÿâëåíèÿ áóêâ èñïîëüçóåìîãî àëôàâèòà ( â äàííîì ñëó÷àå ðóññêîãî ). Ïîñëå ýòîãî íàèáîëåå ÷àñòûå ñèìâîëû êðèïòîãðàììû çàìåíÿþòñÿ íà íàèáîëåå âåðîÿòíûå ñèìâîëû àëôàâèòà, îñòàëüíûå çàìåíû ïðîèçâîäÿòñÿ íà îñíîâå âåðîÿòíûõ ñëîâ è çíàíèÿ ñèíòàêñè÷åñêèõ ïðàâèë èñïîëüçóåìîãî ÿçûêà.

Òàáëèöà 2. Âåðîÿòíîñòè âñòðå÷àåìîñòè áóêâ ðóññêîãî ÿçûêà

Ñèìâîë

âåð_òü

ñèìâîë

âåð_òü

ñèìâîë

âåð_òü

Ïðîáåë

0.175

Ê

0.028

×

0.012

Î

0.089

Ì

0.026

É

0.010

Å

0.072

Ä

0.025

Õ

0.009

À

0.062

Ï

0.023

Æ

0.007

È

0.062

Ó

0.021

Þ

0.006

Í

0.053

ß

0.018

Ø

0.006

Ò

0.053

Û

0.016

Ö

0.004

Ñ

0.045

Ç

0.016

Ù

0.003

Ð

0.040

Ü

0.014

Ý

0.003

Â

0.038

Á

0.014

Ô

0.002

Ë

0.035

Ã

0.013


Çàäàíèå 19


Èñïîëüçóÿ ÷àñòîòíûé àíàëèç, äåøèôðîâàòü êðèïòîãðàììó, çàøèôðîâàííóþ ìåòîäîì ìîíîàëôàâèòíûõ ïîäñòàíîâîê. Íàïèøèòå îò÷åò î ïðîäåëàííîé ðàáîòå.  îò÷åòå íåîáõîäèìî ïðåäñòàâèòü: íîìåð âàðèàíòà, ðàñøèôðîâàííûé èñõîäíûé òåêñò, êëþ÷ (â äàííîì ñëó÷àå êëþ÷îì ÿâëÿåòñÿ òàáëèöà çàìåí), êðàòêèé ïðîòîêîë êðèïòîàíàëèçà (ñì. ïðèìåð).

Ïðèìåð äåøèôðàöèè êðèïòîãðàììû

Ïðèìåð äåøèôðàöèè êðèïòîãðàììû, çàøèôðîâàííîé ìîíîàëôàâèòíîé ïîäñòàíîâêîé

Òåêñò êðèïòîãðàììû:

ÊÙÐÍÑÉØÙÕÄÒÀÐÁÓÒÖÏÔÞÑÍÛÀØÉÀÜÉËÁÀÍÑÉÑÒÍÑÒÎÁÍÄÙÌÙÀÉØÉÆÒËÉÀÑÁÄÍÑÉÀØÙÀÑÙÆ

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 òàáëèöå 3 íàõîäÿòñÿ ðåçóëüòàòû ñòàòèñòè÷åñêîãî àíàëèçà äàííîé êðèïòîãðàììû. Ñþäà âêëþ÷åíû çíà÷åíèÿ ÷àñòîò áóêâ ðóññêîãî ÿçûêà, à òàêæå ÷àñòîòû âñòðå÷àåìîñòè ñèìâîëîâ äëÿ  äàííîé êðèïòîãðàììû.

                                                               

Òàáëèöà 3

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Èñõîäÿ èç ïîëó÷åííîé ñòàòèñòèêè, ñäåëàåì ïåðâûå çàìåíû: “À”-“ ”, “Ù”-“Δ.

Ðåçóëüòàò:

ÊÙÐÍÑÉØÙÕÄÒÀÐÁÓÒÖÏÔÞÑÍÛÀØÉÀÜÉËÁÀÍÑÉÑÒÍÑÒÎÁÍÄÙÌÙÀÉØÉÆÒËÉÀÑÁÄÍÑÉÀ

-Î-----Î--- ----------- -- ---- ------------Î-Î ------- ------

ØÙÀÑÙÆÅÄÙÀÁÍÆÒÀÙØÀÐÙÍÑÉÑÙÎØÙÀÐÆÒØØÈÃ

-Î - Î---Î ---- Î - - Î----Î--Î -------

Îáðàòèì âíèìàíèå íà 8-îå è 12-îå ñëîâà: “ØÙ” è “ÙØ”. Ò. ê. ìû ïðåäïîëîæèëè, ÷òî “Ù” çàìåíÿåò “Δ â îòêðûòîì òåêñòå, òî áóêâà “Ø” ìîæåò áûòü òîëüêî áóêâîé “Í” èëè áóêâîé “Ò”. Ïîïðîáóåì ñäåëàòü çàìåíó “Ø”-“Í”.

Ìîæíî ïðåäïîëîæèòü, ÷òî 5-îå ñëîâî - îêàí÷èâàåòñÿ íà “ÎÃΔ è ÿâëÿåòñÿ, ñòàëî áûòü, ïðèëàãàòåëüíûì èëè ïðè÷àñòèåì.

Çàìåíà “Ì”-“Ô.

Ñëîâî, ñëåäóþùåå çà ïðèëàãàòåëüíûì èëè ïðè÷àñòèåì, ñêîðåå âñåãî ÿâëÿåòñÿ ñóùåñòâèòåëüíûì è îêàí÷èâàåòñÿ íà “À”. Îòñþäà ñëåäóåò çàìåíà “É”-“À”.

Òåïåðü èìååì ñëåäóþùóþ êàðòèíó:

ÊÙÐÍÑÉØÙÕÄÒÀÐÁÓÒÖÏÔÞÑÍÛÀØÉÀÜÉËÁÀÍÑÉÑÒÍÑÒÎÁÍÄÙÌÙÀÉØÉÆÒËÉÀÑÁÄÍÑÉÀ

-Î---ÀÍÎ--- ----------- ÍÀ - À-- --À---------ÎÃÎ ÀÍÀ---À -----À

ØÙÀÑÙÆÅÄÙÀÁÍÆÒÀÙØÀÐÙÍÑÉÑÙÎØÙÀÐÆÒØØÈÃ

ÍÎ - Î---Î ---- ÎÍ - Î--À-Î-ÍÎ ---ÍÍ--

×åòâåðòûì ñëîâîì ÿâëÿåòñÿ ïðåäëîã “ÍÀ”, ïîýòîìó ñëåäóþùåå ñëîâî îêàí÷èâàåòñÿ, ñêîðåå âñåãî, íà áóêâó “Å”.

Çàìåíÿåì “Á”-“Å”.

Øåñòîå ñëîâî èìååò âèä “ÀÍÀ---À”. Ýòî î÷åíü ïîõîæå íà ñëîâî “ÀÍÀËÈÇÀ”. Çàìåíèì “Æ”-“Ë”, “Ò”-“È”, “Ë”-“Ç”.

Ðåçóëüòàò:

ÊÙÐÍÑÉØÙÕÄÒÀÐÁÓÒÖÏÔÞÑÍÛÀØÉÀÜÉËÁÀÍÑÉÑÒÍÑÒÎÁÍÄÙÌÙÀÉØÉÆÒËÉÀÑÁÄÍÑÉÀ

-Î---ÀÍÎ--È - Å-È------- ÍÀ - ÀÇÅ --À-È--È-Å--ÎÃÎ ÀÍÀËÈÇÀ - Å---À

ØÙÀÑÙÆÅÄÙÀÁÍÆÒÀÙØÀÐÙÍÑÉÑÙÎØÙÀÐÆÒØØÈÃ

ÍÎ - ÎË--Î Å-ËÈ ÎÍ - Î--À-Î-ÍÎ - ËÈÍÍ--

Ñëîâîñî÷åòàíèå “ÍÀ - ÀÇÅ” îçíà÷àåò, âèäèìî, ñëîâà “ÍÀ ÁÀÇÅ”, ñëîâî “Å-ËÈ” ÿâëÿåòñÿ ñëîâîì “ÅÑËÈ”, à ïîñëåäíåå ñëîâî êðèïòîãðàììû “-ËÈÍÍ--” ïîõîæå íà ñëîâî “ÄËÈÍÍÛÉ”. Ñäåëàåì ñîîòâåòñòâóþùèå çàìåíû: “Ü”-“Á”, “Í”-“Ñ”, “Д-“Ä”, “È”-“Û”, “Ô-“É”.

Ðåçóëüòàò:

ÊÙÐÍÑÉØÙÕÄÒÀÐÁÓÒÖÏÔÞÑÍÛÀØÉÀÜÉËÁÀÍÑÉÑÒÍÑÒÎÁÍÄÙÌÙÀÉØÉÆÒËÉÀÑÁÄÍÑÉÀ

-ÎÄÑ-ÀÍÎ--È ÄÅ-È-----Ñ - ÍÀ ÁÀÇÅ Ñ-À-ÈÑ-È-ÅÑ-ÎÃÎ ÀÍÀËÈÇÀ - Å-Ñ-À

ØÙÀÑÙÆÅÄÙÀÁÍÆÒÀÙØÀÐÙÍÑÉÑÙÎØÙÀÐÆÒØØÈÃ

ÍÎ - ÎË--Î ÅÑËÈ ÎÍ ÄÎÑ-À-Î-ÍÎ ÄËÈÍÍÛÉ

Ñëîâî “Ñ-À-ÈÑ-È-ÅÑ-ÎÃΔ (ÀÍÀËÈÇÀ) ïîõîæå íà ñëîâî “ÑÒÀÒÈÑÒÈ×ÅÑÊÎÃΔ. Çàìåíû: “Ñ”-“Ò”, “Δ-“×”, “Ä”-“Ê”.

Ðåçóëüòàò:

ÊÙÐÍÑÉØÙÕÄÒÀÐÁÓÒÖÏÔÞÑÍÛÀØÉÀÜÉËÁÀÍÑÉÑÒÍÑÒÎÁÍÄÙÌÙÀÉØÉÆÒËÉÀÑÁÄÍÑÉÀ

-ÎÄÑÒÀÍÎ-ÊÈ ÄÅ-È----ÒÑ - ÍÀ ÁÀÇÅ ÑÒÀÒÈÑÒÈ×ÅÑÊÎÃÎ ÀÍÀËÈÇÀ ÒÅÊÑÒÀ

ØÙÀÑÙÆÅÄÙÀÁÍÆÒÀÙØÀÐÙÍÑÉÑÙÎØÙÀÐÆÒØØÈÃ

ÍÎ ÒÎË-ÊÎ ÅÑËÈ ÎÍ ÄÎÑÒÀÒÎ×ÍÎ ÄËÈÍÍÛÉ

Ïîñëåäóþùèå çàìåíû íå âûçûâàþò çàòðóäíåíèé.

Èñõîäíûé òåêñò:

ÏÎÄÑÒÀÍÎÂÊÈ ÄÅØÈÔÐÓÞÒÑß ÍÀ ÁÀÇÅ ÑÒÀÒÈÑÒÈ×ÅÑÊÎÃÎ ÀÍÀËÈÇÀ ÒÅÊÑÒÀ ÍÎ ÒÎËÜÊÎ ÅÑËÈ ÎÍ ÄÎÑÒÀÒÎ×ÍÎ ÄËÈÍÍÛÉ

Êëþ÷ (òàáëèöà çàìåí):


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Âàðèàíòû ê çàäàíèþ 19

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[1] Stallings W, “Cryptography And Network Security. Principles And Practice”, 5th Edition, 2011.