--- /dev/null
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os,sys,inspect\n",
+ "currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))\n",
+ "parentdir = os.path.dirname(currentdir)\n",
+ "sys.path.insert(0,parentdir) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from cipher.caesar import *\n",
+ "from cipher.affine import *\n",
+ "from cipher.keyword_cipher import *\n",
+ "from cipher.column_transposition import *\n",
+ "from cipher.vigenere import *\n",
+ "\n",
+ "from support.text_prettify import *\n",
+ "from support.utilities import *\n",
+ "from support.plot_frequency_histogram import *\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "challenge_number = 8\n",
+ "plaintext_a_filename = f'{challenge_number}a.plaintext'\n",
+ "plaintext_b_filename = f'{challenge_number}b.plaintext'\n",
+ "ciphertext_a_filename = f'{challenge_number}a.ciphertext'\n",
+ "ciphertext_b_filename = f'{challenge_number}b.ciphertext'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ca = open(ciphertext_a_filename).read()\n",
+ "cb = open(ciphertext_b_filename).read()\n",
+ "\n",
+ "sca = sanitise(ca)\n",
+ "pca = letters(ca)\n",
+ "pta = depunctuate(ca)\n",
+ "\n",
+ "scb = sanitise(cb)\n",
+ "pcb = letters(cb)\n",
+ "ptb = depunctuate(cb)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/neil/Programming/cipher-tools/support/plot_frequency_histogram.py:11: UserWarning: Matplotlib is currently using module://ipykernel.pylab.backend_inline, which is a non-GUI backend, so cannot show the figure.\n",
+ " f.show()\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fc = collections.Counter(sca)\n",
+ "plot_frequency_histogram(fc, sort_key=fc.get)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'low'"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "kworda, score = vigenere_frequency_break(sca, fitness=Ptrigrams)\n",
+ "kworda"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'harrywemanagedtotapthephonelinesinosloandinterceptedgermanmilitarypolicereportstothessheadquarterstheyestablishedthatthegunnersideoperationwaseffectiveinwipingouttheexistingstocksofheavywaterbutthatthenaziengineerswereabletorestartproductionthiswasconfirmedincommunicationssmuggledoutoftheplantbyjomarbrunandeinnarskinnerlandthechiefengineeranddesigneroftheplantwhoarestillworkingthereassoeagentstheinformationwassenttointelligenceheadquartersinlondonintoothpastetubesusingacipherdevelopedforbossbyleomarksthisintelligencewaspassedtousaafwhostartedtodevelopaplantobombtheplantrunningtheriskofsignificantcivilianlossesluckilyoneofourbossofficialsspottedthemaponthewallofabriefingroomduringaprotocolvisitandrealisedwhatitwasheflaggedtheoperationandgotmeinvolvediwasabletocontactswallowviatheoslobranchofmilorgandwehavebeenworkingtogetherwithusaaftorefinethemissiondespitetheriskstheyagreedtoadaylightraidinthehopethattheaddedaccuracywouldreducenorwegiancasualtiesunfortunatelytheraidwasamixedsuccessasyoucanseefromtheattachedreportitisdoubleencryptedagainbutwasalottoughertocracktheyhaveusedanaffineshiftforthesubstitutionphasebeforeusingthesamesortoftranspositiontakealookandletmeknowwhatyouthinkmeanwhileiwilltrytocontactronnenbergtoseewhathewantstodonextgiventheneedtoprotectournetworkiwillincreasethekeylengthformymessagetoyounextweektoatleastsix'"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pa = vigenere_decipher(sca, kworda)\n",
+ "pa"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "harry we managed to tap the phone lines in oslo and intercepted german military police reports to\n",
+ "the ss headquarters they established that the gunner side operation was effective in wiping out the\n",
+ "existing stocks of heavy water but that the nazi engineers were able to restart production this was\n",
+ "confirmed in communications smuggled out of the plant by jomar brun and e in nar skinner land the\n",
+ "chief engineer and designer of the plant who are still working there as soe agents the information\n",
+ "was sent to intelligence headquarters in london in toothpaste tubes using a cipher developed for\n",
+ "boss by leo marks this intelligence was passed to usaaf who started to develop a plan to bomb the\n",
+ "plant running the risk of significant civilian losses luckily one of our boss officials spotted the\n",
+ "map on the wall of a briefing room during a protocol visit and realised what it was he flagged the\n",
+ "operation and got me involved i was able to contact swallow via the oslo branch of mil org and we\n",
+ "have been working together with usaaf to refine the mission despite the risks they agreed to a\n",
+ "daylight raid in the hope that the added accuracy would reduce norwegian casualties unfortunately\n",
+ "the raid was a mixed success as you can see from the attached report it is double encrypted again\n",
+ "but was alot tougher to crack they have used an affine shift for the substitution phase before using\n",
+ "the same sort of transposition take a look and let me know what you think meanwhile i will try to\n",
+ "contact ronn enberg to see what he wants to do next given the need to protect our network i will\n",
+ "increase the key length for my message to you next week to atleast six\n"
+ ]
+ }
+ ],
+ "source": [
+ "fpa = lcat(tpack(segment(pa)))\n",
+ "print(fpa)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1644"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "open(plaintext_a_filename, 'w').write(fpa)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fc = collections.Counter(scb)\n",
+ "plot_frequency_histogram(fc, sort_key=fc.get)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(11, 5, True)"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(kmb, kab, kob), score = affine_break(scb, fitness=Pletters)\n",
+ "kmb, kab, kob"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'etmhbnboiagoriendvrmaokaswciroredudtiudrnlagyhingtvnoobesmetirxnetetahheatstcaqkuodornincsisotnhfgttinreapelsnlesiiptonottogwrsucpeahamnkwiguotronhsnaetterwgtchsiphaapdreebthoeoetnkrdshpryoeotwriastaotnnnhderietaaptltnethiermsltetehoetaesttahtkascwtnaorfeoenesnwoirantsirtpecdteeabcyieorvnrladflaoetthakatcgirnaacirsfmtehteoeatvrnuerfemdretohsmoisynieieewtesnstsesaatthntrittmeintletdocuvcaoeeprpeaordsdtiprhuttetactuakhtbtaermjyiottoefhlxepiossvoaerduintyrhtnteosdrweprdoptweiehhvrhiygcaacuocryhniteatnrptnelntaotltywhooternetisohhtoterwpeasottnniahdetefirncosreutdrucwtrhietosttowhdesofrtetohsalsahtutoesbmifbadldetaaomtgrehueebtiuldrteemieuercltyoslscfiaiialtonydnusrectwookesfyahvtwwaeeerropcrtdteetbsyheeevtnesooyrseffriconrcecdotrnebeeaowhvoeehvroetprwaepinltethslbafsnemedeaagndhadsitsoercndaditopnhnleaaterihsstoeipslbsiyiattuthonrieehemseaevasngtrwnokigiwitthndiincissunisotwfihcfoilirasdofmaiheliecmesrtnpoguhibtanesecdeeihddttafthiaectlhiylosuedubsothdewsnxntiitgksofscoahweveaytnroadstpausyimodhrdxiieblwlhepsitepdhortebliaaorrtsioedannmauafucntragiflciiiietsenagrfnmyfotrurhrerehninmcentxadrpeeeiamnottiinngvetehsrfikclooeailsaopnwgieenlwldesetniogiinfcytalhecnaeensrcyuirftoitphsaeorotiinlnfawlhyelosuodtnttheaetthakatclkdiletewynetornnogwneivcaiiislaitnhsslivbuaaplperaaoganddaronueasgneatridtonihgeerhbseetrdalnidonntonnorseuhettanhtewoirepagnuotplniaodusnentrawdishosotabflmtoersheeelendseasdsteh'"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "acb = affine_decipher(scb, kmb, kab, kob)\n",
+ "acb"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(((2, 0, 5, 1, 3, 8, 6, 4, 7), False, False), -4688.2791775857195)"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(kwordb, fillb, emptyb), score = column_transposition_break_mp(acb, fitness=Ptrigrams)\n",
+ "(kwordb, fillb, emptyb), score"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'thebombingraidonvemorkwascarriedoutduringdaylightonnovembersixteenththeattacksquadronconsistingofthirteenplanessplitintotwogroupseachmakingtworunsonthetargetswhichappearedtobethenorskhydropowerstationandthenitrateplantthreemilestotheeasttheattackwasnotforeseennorwasitinterceptedbyaircoverandalloftheattackingaircraftseemtohavereturnedfromthemissioneyewitnessesstatethatintermittentcloudcoverappearedtodisrupttheattackbutthemajorityoftheexplosivesaroundthirtytonsweredroppedwithveryhighaccuracyonthenitrateplantonlytwotothreetonshitthepowerstationandthereinforcedstructurewithstoodtheworstoftheassaultthebombsfailedtodamagetherebuiltdeuteriumelectrolysisfacilityandournewstocksofheavywaterwereprotectedbythesevenstoreysofreinforcedconcreteabovehoweverthepowerplantitselfhasbeendamagedandthissecondraidontheplantraisesthepossibilitythatourenemieshaveagentsworkingwithinitindiscussionwithofficialsfromdiealchemistengroupithasbeendecidedthatthefacilityshouldbeshutdownexistingstocksofheavywaterandpotassiumhydroxidewillbeshippedtotheirlaboratoriesandmanufacturingfacilitiesingermanyforfurtherenrichmentandexperimentationgiventheriskoflocalespionagewewillneedtosignificantlyenhancesecurityforthisoperationfinallyweshouldnotethattheattackkilledtwentyonenorwegianciviliansthisisvaluablepropagandaandouragentsaredoingtheirbesthereandinlondontoensurethatthenorwegianpopulationunderstandswhoistoblamefortheseneedlessdeaths'"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pb = column_transposition_decipher(acb, kwordb, fillcolumnwise=fillb, emptycolumnwise=emptyb)\n",
+ "pb"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "the bombing raid on ve mork was carried out during daylight on november sixteenth the attack\n",
+ "squadron consisting of thirteen planes split into two groups each making two runs on the targets\n",
+ "which appeared to be the norsk hydropower station and the nitrate plant three miles to the east the\n",
+ "attack was not foreseen nor was it intercepted by air cover and all of the attacking aircraft seem\n",
+ "to have returned from the mission eyewitnesses state that intermittent cloud cover appeared to\n",
+ "disrupt the attack but the majority of the explosives around thirty tons were dropped with very high\n",
+ "accuracy on the nitrate plant only two to three tons hit the powerstation and the reinforced\n",
+ "structure withstood the worst of the assault the bombs failed to damage the rebuilt deuterium\n",
+ "electrolysis facility and our new stocks of heavy water were protected by the seven storeys of\n",
+ "reinforced concrete above however the powerplant itself has been damaged and this second raid on the\n",
+ "plant raises the possibility that our enemies have agents working within it in discussion with\n",
+ "officials from die alchemist en group it has been decided that the facility should be shutdown\n",
+ "existing stocks of heavy water and potassium hydroxide will be shipped to their laboratories and\n",
+ "manufacturing facilities in germany for further enrichment and experimentation given the risk of\n",
+ "local espionage we will need to significantly enhance security for this operation finally we should\n",
+ "note that the attack killed twentyone norwegian civilians this is valuable propaganda and our agents\n",
+ "are doing their best here and in london to ensure that the norwegian population understands who is\n",
+ "to blame for these needless deaths\n"
+ ]
+ }
+ ],
+ "source": [
+ "fpb = lcat(tpack(segment(pb)))\n",
+ "print(fpb)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1686"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "open(plaintext_b_filename, 'w').write(fpb)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['clampdown']"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "transpositions[kwordb]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "jupytext": {
+ "formats": "ipynb,md"
+ },
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.4"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--- /dev/null
+---
+jupyter:
+ jupytext:
+ formats: ipynb,md
+ text_representation:
+ extension: .md
+ format_name: markdown
+ format_version: '1.2'
+ jupytext_version: 1.3.4
+ kernelspec:
+ display_name: Python 3
+ language: python
+ name: python3
+---
+
+```python
+import os,sys,inspect
+currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
+parentdir = os.path.dirname(currentdir)
+sys.path.insert(0,parentdir)
+```
+
+```python
+from cipher.caesar import *
+from cipher.affine import *
+from cipher.keyword_cipher import *
+from cipher.column_transposition import *
+from cipher.vigenere import *
+
+from support.text_prettify import *
+from support.utilities import *
+from support.plot_frequency_histogram import *
+%matplotlib inline
+```
+
+```python
+challenge_number = 8
+plaintext_a_filename = f'{challenge_number}a.plaintext'
+plaintext_b_filename = f'{challenge_number}b.plaintext'
+ciphertext_a_filename = f'{challenge_number}a.ciphertext'
+ciphertext_b_filename = f'{challenge_number}b.ciphertext'
+```
+
+```python
+ca = open(ciphertext_a_filename).read()
+cb = open(ciphertext_b_filename).read()
+
+sca = sanitise(ca)
+pca = letters(ca)
+pta = depunctuate(ca)
+
+scb = sanitise(cb)
+pcb = letters(cb)
+ptb = depunctuate(cb)
+```
+
+```python
+fc = collections.Counter(sca)
+plot_frequency_histogram(fc, sort_key=fc.get)
+```
+
+```python
+kworda, score = vigenere_frequency_break(sca, fitness=Ptrigrams)
+kworda
+```
+
+```python
+pa = vigenere_decipher(sca, kworda)
+pa
+```
+
+```python
+fpa = lcat(tpack(segment(pa)))
+print(fpa)
+```
+
+```python
+open(plaintext_a_filename, 'w').write(fpa)
+```
+
+```python
+fc = collections.Counter(scb)
+plot_frequency_histogram(fc, sort_key=fc.get)
+```
+
+```python
+(kmb, kab, kob), score = affine_break(scb, fitness=Pletters)
+kmb, kab, kob
+```
+
+```python
+acb = affine_decipher(scb, kmb, kab, kob)
+acb
+```
+
+```python
+(kwordb, fillb, emptyb), score = column_transposition_break_mp(acb, fitness=Ptrigrams)
+(kwordb, fillb, emptyb), score
+```
+
+```python
+pb = column_transposition_decipher(acb, kwordb, fillcolumnwise=fillb, emptycolumnwise=emptyb)
+pb
+```
+
+```python
+fpb = lcat(tpack(segment(pb)))
+print(fpb)
+```
+
+```python
+open(plaintext_b_filename, 'w').write(fpb)
+```
+
+```python
+transpositions[kwordb]
+```
+
+```python
+
+```