SlideShare a Scribd company logo
The RSA Algorithm

JooSeok Song
2007. 11. 13. Tue
Private-Key Cryptography
 traditional private/secret/single key
cryptography uses one key
 shared by both sender and receiver
 if this key is disclosed communications are
compromised
 also is symmetric, parties are equal
 hence does not protect sender from receiver
forging a message & claiming is sent by sender

CCLAB
Public-Key Cryptography
 probably most significant advance in the 3000
year history of cryptography
 uses two keys – a public & a private key
 asymmetric since parties are not equal
 uses clever application of number theoretic
concepts to function
 complements rather than replaces private key
crypto

CCLAB
Public-Key Cryptography
 public-key/two-key/asymmetric cryptography
involves the use of two keys:
– a public-key, which may be known by anybody, and
can be used to encrypt messages, and verify
signatures
– a private-key, known only to the recipient, used to
decrypt messages, and sign (create) signatures

 is asymmetric because
– those who encrypt messages or verify signatures
cannot decrypt messages or create signatures

CCLAB
Public-Key Cryptography

CCLAB
Why Public-Key Cryptography?
 developed to address two key issues:
– key distribution – how to have secure communications
in general without having to trust a KDC with your key
– digital signatures – how to verify a message comes
intact from the claimed sender

 public invention due to Whitfield Diffie & Martin
Hellman at Stanford Uni in 1976
– known earlier in classified community

CCLAB
Public-Key Characteristics
 Public-Key algorithms rely on two keys with the
characteristics that it is:
– computationally infeasible to find decryption key
knowing only algorithm & encryption key
– computationally easy to en/decrypt messages when the
relevant (en/decrypt) key is known
– either of the two related keys can be used for
encryption, with the other used for decryption (in some
schemes)

CCLAB
Public-Key Cryptosystems

CCLAB
Public-Key Applications
 can classify uses into 3 categories:
– encryption/decryption (provide secrecy)
– digital signatures (provide authentication)
– key exchange (of session keys)

 some algorithms are suitable for all uses, others
are specific to one

CCLAB
Security of Public Key Schemes
 like private key schemes brute force exhaustive
search attack is always theoretically possible
 but keys used are too large (>512bits)
 security relies on a large enough difference in
difficulty between easy (en/decrypt) and hard
(cryptanalyse) problems
 more generally the hard problem is known, its
just made too hard to do in practise
 requires the use of very large numbers
 hence is slow compared to private key schemes
CCLAB
RSA
 by 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
– nb. exponentiation takes O((log n)3) operations (easy)

 uses large integers (eg. 1024 bits)
 security due to cost of factoring large numbers
– nb. factorization takes O(e log n log log n) operations (hard)

CCLAB
RSA Key Setup
 each user generates a public/private key pair by:
 selecting two large primes at random - p, q
 computing their system modulus N=p.q
– note ø(N)=(p-1)(q-1)

 selecting at random the encryption key e
 where 1<e<ø(N), gcd(e,ø(N))=1

 solve following equation to find decryption key d
– e.d=1 mod ø(N) and 0≤d≤N

 publish their public encryption key: KU={e,N}
 keep secret private decryption key: KR={d,p,q}
CCLAB
RSA Use
 to encrypt a message M the sender:
– obtains public key of recipient KU={e,N}
– computes: C=Me mod N, where 0≤M<N

 to decrypt the ciphertext C the owner:
– uses their private key KR={d,p,q}
– computes: M=Cd mod N

 note that the message M must be smaller than
the modulus N (block if needed)

CCLAB
Prime Numbers
 prime numbers only have divisors of 1 and self
– they cannot be written as a product of other numbers
– note: 1 is prime, but is generally not of interest

 eg. 2,3,5,7 are prime, 4,6,8,9,10 are not
 prime numbers are central to number theory
 list of prime number less than 200 is:
2 3 5 7 11 13 17 19 23 29 31 37 41 43 47 53 59 61
67 71 73 79 83 89 97 101 103 107 109 113 127 131
137 139 149 151 157 163 167 173 179 181 191 193
197 199

CCLAB
Prime Factorisation
 to factor a number n is to write it as a product of
other numbers: n=a × b × c
 note that factoring a number is relatively hard
compared to multiplying the factors together to
generate the number
 the prime factorisation of a number n is when its
written as a product of primes
– eg. 91=7×13 ; 3600=24×32×52

CCLAB
Relatively Prime Numbers & GCD
 two numbers a, b are relatively prime if have
no common divisors apart from 1
– eg. 8 & 15 are relatively prime since factors of 8 are
1,2,4,8 and of 15 are 1,3,5,15 and 1 is the only common
factor

 conversely can determine the greatest common
divisor by comparing their prime factorizations
and using least powers
– eg. 300=21×31×52 18=21×32 hence
GCD(18,300)=21×31×50=6

CCLAB
Fermat's Theorem
 ap-1 mod p = 1
– where p is prime and gcd(a,p)=1

 also known as Fermat’s Little Theorem
 useful in public key and primality testing

CCLAB
Euler Totient Function ø(n)
 when doing arithmetic modulo n
 complete set of residues is: 0..n-1
 reduced set of residues is those numbers
(residues) which are relatively prime to n
– eg for n=10,
– complete set of residues is {0,1,2,3,4,5,6,7,8,9}
– reduced set of residues is {1,3,7,9}

 number of elements in reduced set of residues is
called the Euler Totient Function ø(n)

CCLAB
Euler Totient Function ø(n)
 to compute ø(n) need to count number of
elements to be excluded
 in general need prime factorization, but
– for p (p prime) ø(p) = p-1
– for p.q (p,q prime)
ø(p.q) = (p-1)(q-1)

 eg.
– ø(37) = 36
– ø(21) = (3–1)×(7–1) = 2×6 = 12

CCLAB
Euler's Theorem
 a generalisation of Fermat's Theorem
 aø(n)mod N = 1
– where gcd(a,N)=1

 eg.
–
–
–
–

CCLAB

a=3;n=10;
hence 34 =
a=2;n=11;
hence 210 =

ø(10)=4;
81 = 1 mod 10
ø(11)=10;
1024 = 1 mod 11
Why RSA Works
 because of Euler's Theorem:
 aø(n)mod N = 1
– where gcd(a,N)=1

 in RSA have:
–
–
–
–

N=p.q
ø(N)=(p-1)(q-1)
carefully chosen e & d to be inverses mod ø(N)
hence e.d=1+k.ø(N) for some k

 hence :
Cd = (Me)d = M1+k.ø(N) = M1.(Mø(N))q = M1.(1)q =
M1 = M mod N

CCLAB
RSA Example
1.
2.
3.
4.
5.

Select primes: p=17 & q=11
Compute n = pq =17×11=187
Compute ø(n)=(p–1)(q-1)=16×10=160
Select e : gcd(e,160)=1; choose e=7
Determine d: de=1 mod 160 and d < 160
Value is d=23 since 23×7=161= 10×160+1
6. Publish public key KU={7,187}
7. Keep secret private key KR={23,17,11}

CCLAB
RSA Example cont
 sample RSA encryption/decryption is:
 given message M = 88 (nb. 88<187)
 encryption:
C = 887 mod 187 = 11

 decryption:
M = 1123 mod 187 = 88

CCLAB
Exponentiation
can use the Square and Multiply Algorithm
a fast, efficient algorithm for exponentiation
concept is based on repeatedly squaring base
and multiplying in the ones that are needed to
compute the result
 look at binary representation of exponent
 only takes O(log2 n) multiples for number n





– eg. 75 = 74.71 = 3.7 = 10 mod 11
– eg. 3129 = 3128.31 = 5.3 = 4 mod 11
CCLAB
Exponentiation

CCLAB
RSA Key Generation
 users of RSA must:
– determine two primes at random - p, q
– select either e or d and compute the other

 primes p,q must not be easily derived from
modulus N=p.q
– means must be sufficiently large
– typically guess and use probabilistic test

 exponents e, d are inverses, so use Inverse
algorithm to compute the other

CCLAB
RSA Security
 three approaches to attacking RSA:
– brute force key search (infeasible given size of
numbers)
– mathematical attacks (based on difficulty of computing
ø(N), by factoring modulus N)
– timing attacks (on running of decryption)

CCLAB
Factoring Problem
 mathematical approach takes 3 forms:
– factor N=p.q, hence find ø(N) and then d
– determine ø(N) directly and find d
– find d directly

 currently believe all equivalent to factoring
– have seen slow improvements over the years
 as of Aug-99 best is 130 decimal digits (512) bit with GNFS

– biggest improvement comes from improved algorithm
 cf “Quadratic Sieve” to “Generalized Number Field Sieve”

– barring dramatic breakthrough 1024+ bit RSA secure
 ensure p, q of similar size and matching other constraints

CCLAB
Timing Attacks
 developed in mid-1990’s
 exploit timing variations in operations
– eg. multiplying by small vs large number
– or IF's varying which instructions executed

 infer operand size based on time taken
 RSA exploits time taken in exponentiation
 countermeasures
– use constant exponentiation time
– add random delays
– blind values used in calculations

CCLAB
Summary
 have considered:
–
–
–
–
–
–
–

CCLAB

prime numbers
Fermat’s and Euler’s Theorems
Primality Testing
Chinese Remainder Theorem
Discrete Logarithms
principles of public-key cryptography
RSA algorithm, implementation, security
Assignments
1. Perform encryption and decryption using RSA
algorithm, as in Figure 1, for the following:
a. p = 3; q = 11, e = 7; M = 5
b. p = 5; q = 11, e = 3; M = 9
Encryption
Plaintext
88

887 mod 187 = 11

Decryption
Ciphertext
11

1123 mod 187 = 88

KU = 7, 187
KR = 23, 187
Figure 1. Example of RSA Algorithm

Plaintext
88

2. In a public-key system using RSA, you intercept
the ciphertext C = 10 sent to a user whose public
key is e = 5, n = 35. What is the plaintext M?
CCLAB

31

More Related Content

What's hot

The rsa algorithm
The rsa algorithmThe rsa algorithm
The rsa algorithm
Komal Singh
 
Cryptography.ppt
Cryptography.pptCryptography.ppt
Cryptography.ppt
Uday Meena
 

What's hot (20)

RSA Algorithm
RSA AlgorithmRSA Algorithm
RSA Algorithm
 
RSA Algorithm
RSA AlgorithmRSA Algorithm
RSA Algorithm
 
cypher tex.ppt
cypher tex.pptcypher tex.ppt
cypher tex.ppt
 
Electronic mail security
Electronic mail securityElectronic mail security
Electronic mail security
 
Presentation about RSA
Presentation about RSAPresentation about RSA
Presentation about RSA
 
Authenticated Encryption Gcm Ccm
Authenticated Encryption Gcm CcmAuthenticated Encryption Gcm Ccm
Authenticated Encryption Gcm Ccm
 
Digital Signature Standard
Digital Signature StandardDigital Signature Standard
Digital Signature Standard
 
Principles of public key cryptography and its Uses
Principles of  public key cryptography and its UsesPrinciples of  public key cryptography and its Uses
Principles of public key cryptography and its Uses
 
Rsa rivest shamir adleman
Rsa rivest shamir adlemanRsa rivest shamir adleman
Rsa rivest shamir adleman
 
Information Security & Cryptography
Information Security & CryptographyInformation Security & Cryptography
Information Security & Cryptography
 
The rsa algorithm
The rsa algorithmThe rsa algorithm
The rsa algorithm
 
Secure Socket Layer (SSL)
Secure Socket Layer (SSL)Secure Socket Layer (SSL)
Secure Socket Layer (SSL)
 
Intro to modern cryptography
Intro to modern cryptographyIntro to modern cryptography
Intro to modern cryptography
 
PGP S/MIME
PGP S/MIMEPGP S/MIME
PGP S/MIME
 
2. Stream Ciphers
2. Stream Ciphers2. Stream Ciphers
2. Stream Ciphers
 
Hash Function
Hash FunctionHash Function
Hash Function
 
Cryptography.ppt
Cryptography.pptCryptography.ppt
Cryptography.ppt
 
Symmetric encryption
Symmetric encryptionSymmetric encryption
Symmetric encryption
 
Secure socket layer
Secure socket layerSecure socket layer
Secure socket layer
 
Cryptography and Network Security William Stallings Lawrie Brown
Cryptography and Network Security William Stallings Lawrie BrownCryptography and Network Security William Stallings Lawrie Brown
Cryptography and Network Security William Stallings Lawrie Brown
 

Similar to The rsa algorithm JooSeok Song

RSA & MD5 algorithm
RSA & MD5 algorithmRSA & MD5 algorithm
RSA & MD5 algorithm
Siva Rushi
 
Rsa diffi-network security-itt
Rsa diffi-network security-ittRsa diffi-network security-itt
Rsa diffi-network security-itt
rameshvvv
 

Similar to The rsa algorithm JooSeok Song (20)

The rsa algorithm
The rsa algorithmThe rsa algorithm
The rsa algorithm
 
The rsa algorithm
The rsa algorithmThe rsa algorithm
The rsa algorithm
 
Ch09
Ch09Ch09
Ch09
 
Rsa
RsaRsa
Rsa
 
ch09_rsa_nemo.ppt
ch09_rsa_nemo.pptch09_rsa_nemo.ppt
ch09_rsa_nemo.ppt
 
Unit --3.ppt
Unit --3.pptUnit --3.ppt
Unit --3.ppt
 
RSA Algm.pptx
RSA Algm.pptxRSA Algm.pptx
RSA Algm.pptx
 
Introduction to cryptography
Introduction to cryptographyIntroduction to cryptography
Introduction to cryptography
 
Information and network security 33 rsa algorithm
Information and network security 33 rsa algorithmInformation and network security 33 rsa algorithm
Information and network security 33 rsa algorithm
 
3 pkc+rsa
3 pkc+rsa3 pkc+rsa
3 pkc+rsa
 
PUBLIC KEY & RSA.ppt
PUBLIC KEY & RSA.pptPUBLIC KEY & RSA.ppt
PUBLIC KEY & RSA.ppt
 
Public-Key Cryptography.pdfWrite the result of the following operation with t...
Public-Key Cryptography.pdfWrite the result of the following operation with t...Public-Key Cryptography.pdfWrite the result of the following operation with t...
Public-Key Cryptography.pdfWrite the result of the following operation with t...
 
CNS.ppt
CNS.pptCNS.ppt
CNS.ppt
 
RSA & MD5 algorithm
RSA & MD5 algorithmRSA & MD5 algorithm
RSA & MD5 algorithm
 
Public Key Cryptography and RSA algorithm
Public Key Cryptography and RSA algorithmPublic Key Cryptography and RSA algorithm
Public Key Cryptography and RSA algorithm
 
Rsa diffi-network security-itt
Rsa diffi-network security-ittRsa diffi-network security-itt
Rsa diffi-network security-itt
 
PKC&RSA
PKC&RSAPKC&RSA
PKC&RSA
 
Cryptography
CryptographyCryptography
Cryptography
 
Lecture6 rsa
Lecture6 rsaLecture6 rsa
Lecture6 rsa
 
An implementation of RSA policy
An implementation of RSA policyAn implementation of RSA policy
An implementation of RSA policy
 

More from Information Security Awareness Group

More from Information Security Awareness Group (20)

Securing the Data in Big Data Security Analytics by Kevin Bowers, Nikos Trian...
Securing the Data in Big Data Security Analytics by Kevin Bowers, Nikos Trian...Securing the Data in Big Data Security Analytics by Kevin Bowers, Nikos Trian...
Securing the Data in Big Data Security Analytics by Kevin Bowers, Nikos Trian...
 
Mobile Device Security by Michael Gong, Jake Kreider, Chris Lugo, Kwame Osaf...
 Mobile Device Security by Michael Gong, Jake Kreider, Chris Lugo, Kwame Osaf... Mobile Device Security by Michael Gong, Jake Kreider, Chris Lugo, Kwame Osaf...
Mobile Device Security by Michael Gong, Jake Kreider, Chris Lugo, Kwame Osaf...
 
Mobile Devices – Using Without Losing Mark K. Mellis, Associate Information S...
Mobile Devices – Using Without Losing Mark K. Mellis, Associate Information S...Mobile Devices – Using Without Losing Mark K. Mellis, Associate Information S...
Mobile Devices – Using Without Losing Mark K. Mellis, Associate Information S...
 
IBM Security Strategy Intelligence,
IBM Security Strategy Intelligence,IBM Security Strategy Intelligence,
IBM Security Strategy Intelligence,
 
Addressing Big Data Security Challenges: The Right Tools for Smart Protection...
Addressing Big Data Security Challenges: The Right Tools for Smart Protection...Addressing Big Data Security Challenges: The Right Tools for Smart Protection...
Addressing Big Data Security Challenges: The Right Tools for Smart Protection...
 
Big data analysis concepts and references by Cloud Security Alliance
Big data analysis concepts and references by Cloud Security AllianceBig data analysis concepts and references by Cloud Security Alliance
Big data analysis concepts and references by Cloud Security Alliance
 
Big data analysis concepts and references
Big data analysis concepts and referencesBig data analysis concepts and references
Big data analysis concepts and references
 
PKI by Tim Polk
PKI by Tim PolkPKI by Tim Polk
PKI by Tim Polk
 
Authorization Policy in a PKI Environment Mary Thompson Srilekha Mudumbai A...
 Authorization Policy in a PKI Environment  Mary Thompson Srilekha Mudumbai A... Authorization Policy in a PKI Environment  Mary Thompson Srilekha Mudumbai A...
Authorization Policy in a PKI Environment Mary Thompson Srilekha Mudumbai A...
 
Pki by Steve Lamb
Pki by Steve LambPki by Steve Lamb
Pki by Steve Lamb
 
PKI by Gene Itkis
PKI by Gene ItkisPKI by Gene Itkis
PKI by Gene Itkis
 
Introduction to distributed security concepts and public key infrastructure m...
Introduction to distributed security concepts and public key infrastructure m...Introduction to distributed security concepts and public key infrastructure m...
Introduction to distributed security concepts and public key infrastructure m...
 
OThe Open Science Grid: Concepts and Patterns Ruth Pordes, Mine Altunay, Bria...
OThe Open Science Grid: Concepts and Patterns Ruth Pordes, Mine Altunay, Bria...OThe Open Science Grid: Concepts and Patterns Ruth Pordes, Mine Altunay, Bria...
OThe Open Science Grid: Concepts and Patterns Ruth Pordes, Mine Altunay, Bria...
 
Optimal Security Response to Attacks on Open Science Grids Mine Altunay, Sven...
Optimal Security Response to Attacks on Open Science Grids Mine Altunay, Sven...Optimal Security Response to Attacks on Open Science Grids Mine Altunay, Sven...
Optimal Security Response to Attacks on Open Science Grids Mine Altunay, Sven...
 
THE OPEN SCIENCE GRID Ruth Pordes
THE OPEN SCIENCE GRID Ruth PordesTHE OPEN SCIENCE GRID Ruth Pordes
THE OPEN SCIENCE GRID Ruth Pordes
 
Open Science Grid security-atlas-t2 Bob Cowles
Open Science Grid security-atlas-t2 Bob CowlesOpen Science Grid security-atlas-t2 Bob Cowles
Open Science Grid security-atlas-t2 Bob Cowles
 
Security Open Science Grid Doug Olson
Security Open Science Grid Doug OlsonSecurity Open Science Grid Doug Olson
Security Open Science Grid Doug Olson
 
Open Science Group Security Kevin Hill
Open Science Group Security Kevin HillOpen Science Group Security Kevin Hill
Open Science Group Security Kevin Hill
 
Xrootd proxies Andrew Hanushevsky
Xrootd proxies Andrew HanushevskyXrootd proxies Andrew Hanushevsky
Xrootd proxies Andrew Hanushevsky
 
Privilege Project Vikram Andem
Privilege Project Vikram AndemPrivilege Project Vikram Andem
Privilege Project Vikram Andem
 

Recently uploaded

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 

Recently uploaded (20)

JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Transforming The New York Times: Empowering Evolution through UX
Transforming The New York Times: Empowering Evolution through UXTransforming The New York Times: Empowering Evolution through UX
Transforming The New York Times: Empowering Evolution through UX
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
 
Enterprise Security Monitoring, And Log Management.
Enterprise Security Monitoring, And Log Management.Enterprise Security Monitoring, And Log Management.
Enterprise Security Monitoring, And Log Management.
 
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfAgentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdf
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
 
Server-Driven User Interface (SDUI) at Priceline
Server-Driven User Interface (SDUI) at PricelineServer-Driven User Interface (SDUI) at Priceline
Server-Driven User Interface (SDUI) at Priceline
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
 

The rsa algorithm JooSeok Song

  • 1. The RSA Algorithm JooSeok Song 2007. 11. 13. Tue
  • 2. Private-Key Cryptography  traditional private/secret/single key cryptography uses one key  shared by both sender and receiver  if this key is disclosed communications are compromised  also is symmetric, parties are equal  hence does not protect sender from receiver forging a message & claiming is sent by sender CCLAB
  • 3. Public-Key Cryptography  probably most significant advance in the 3000 year history of cryptography  uses two keys – a public & a private key  asymmetric since parties are not equal  uses clever application of number theoretic concepts to function  complements rather than replaces private key crypto CCLAB
  • 4. Public-Key Cryptography  public-key/two-key/asymmetric cryptography involves the use of two keys: – a public-key, which may be known by anybody, and can be used to encrypt messages, and verify signatures – a private-key, known only to the recipient, used to decrypt messages, and sign (create) signatures  is asymmetric because – those who encrypt messages or verify signatures cannot decrypt messages or create signatures CCLAB
  • 6. Why Public-Key Cryptography?  developed to address two key issues: – key distribution – how to have secure communications in general without having to trust a KDC with your key – digital signatures – how to verify a message comes intact from the claimed sender  public invention due to Whitfield Diffie & Martin Hellman at Stanford Uni in 1976 – known earlier in classified community CCLAB
  • 7. Public-Key Characteristics  Public-Key algorithms rely on two keys with the characteristics that it is: – computationally infeasible to find decryption key knowing only algorithm & encryption key – computationally easy to en/decrypt messages when the relevant (en/decrypt) key is known – either of the two related keys can be used for encryption, with the other used for decryption (in some schemes) CCLAB
  • 9. Public-Key Applications  can classify uses into 3 categories: – encryption/decryption (provide secrecy) – digital signatures (provide authentication) – key exchange (of session keys)  some algorithms are suitable for all uses, others are specific to one CCLAB
  • 10. Security of Public Key Schemes  like private key schemes brute force exhaustive search attack is always theoretically possible  but keys used are too large (>512bits)  security relies on a large enough difference in difficulty between easy (en/decrypt) and hard (cryptanalyse) problems  more generally the hard problem is known, its just made too hard to do in practise  requires the use of very large numbers  hence is slow compared to private key schemes CCLAB
  • 11. RSA  by 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 – nb. exponentiation takes O((log n)3) operations (easy)  uses large integers (eg. 1024 bits)  security due to cost of factoring large numbers – nb. factorization takes O(e log n log log n) operations (hard) CCLAB
  • 12. RSA Key Setup  each user generates a public/private key pair by:  selecting two large primes at random - p, q  computing their system modulus N=p.q – note ø(N)=(p-1)(q-1)  selecting at random the encryption key e  where 1<e<ø(N), gcd(e,ø(N))=1  solve following equation to find decryption key d – e.d=1 mod ø(N) and 0≤d≤N  publish their public encryption key: KU={e,N}  keep secret private decryption key: KR={d,p,q} CCLAB
  • 13. RSA Use  to encrypt a message M the sender: – obtains public key of recipient KU={e,N} – computes: C=Me mod N, where 0≤M<N  to decrypt the ciphertext C the owner: – uses their private key KR={d,p,q} – computes: M=Cd mod N  note that the message M must be smaller than the modulus N (block if needed) CCLAB
  • 14. Prime Numbers  prime numbers only have divisors of 1 and self – they cannot be written as a product of other numbers – note: 1 is prime, but is generally not of interest  eg. 2,3,5,7 are prime, 4,6,8,9,10 are not  prime numbers are central to number theory  list of prime number less than 200 is: 2 3 5 7 11 13 17 19 23 29 31 37 41 43 47 53 59 61 67 71 73 79 83 89 97 101 103 107 109 113 127 131 137 139 149 151 157 163 167 173 179 181 191 193 197 199 CCLAB
  • 15. Prime Factorisation  to factor a number n is to write it as a product of other numbers: n=a × b × c  note that factoring a number is relatively hard compared to multiplying the factors together to generate the number  the prime factorisation of a number n is when its written as a product of primes – eg. 91=7×13 ; 3600=24×32×52 CCLAB
  • 16. Relatively Prime Numbers & GCD  two numbers a, b are relatively prime if have no common divisors apart from 1 – eg. 8 & 15 are relatively prime since factors of 8 are 1,2,4,8 and of 15 are 1,3,5,15 and 1 is the only common factor  conversely can determine the greatest common divisor by comparing their prime factorizations and using least powers – eg. 300=21×31×52 18=21×32 hence GCD(18,300)=21×31×50=6 CCLAB
  • 17. Fermat's Theorem  ap-1 mod p = 1 – where p is prime and gcd(a,p)=1  also known as Fermat’s Little Theorem  useful in public key and primality testing CCLAB
  • 18. Euler Totient Function ø(n)  when doing arithmetic modulo n  complete set of residues is: 0..n-1  reduced set of residues is those numbers (residues) which are relatively prime to n – eg for n=10, – complete set of residues is {0,1,2,3,4,5,6,7,8,9} – reduced set of residues is {1,3,7,9}  number of elements in reduced set of residues is called the Euler Totient Function ø(n) CCLAB
  • 19. Euler Totient Function ø(n)  to compute ø(n) need to count number of elements to be excluded  in general need prime factorization, but – for p (p prime) ø(p) = p-1 – for p.q (p,q prime) ø(p.q) = (p-1)(q-1)  eg. – ø(37) = 36 – ø(21) = (3–1)×(7–1) = 2×6 = 12 CCLAB
  • 20. Euler's Theorem  a generalisation of Fermat's Theorem  aø(n)mod N = 1 – where gcd(a,N)=1  eg. – – – – CCLAB a=3;n=10; hence 34 = a=2;n=11; hence 210 = ø(10)=4; 81 = 1 mod 10 ø(11)=10; 1024 = 1 mod 11
  • 21. Why RSA Works  because of Euler's Theorem:  aø(n)mod N = 1 – where gcd(a,N)=1  in RSA have: – – – – N=p.q ø(N)=(p-1)(q-1) carefully chosen e & d to be inverses mod ø(N) hence e.d=1+k.ø(N) for some k  hence : Cd = (Me)d = M1+k.ø(N) = M1.(Mø(N))q = M1.(1)q = M1 = M mod N CCLAB
  • 22. RSA Example 1. 2. 3. 4. 5. Select primes: p=17 & q=11 Compute n = pq =17×11=187 Compute ø(n)=(p–1)(q-1)=16×10=160 Select e : gcd(e,160)=1; choose e=7 Determine d: de=1 mod 160 and d < 160 Value is d=23 since 23×7=161= 10×160+1 6. Publish public key KU={7,187} 7. Keep secret private key KR={23,17,11} CCLAB
  • 23. RSA Example cont  sample RSA encryption/decryption is:  given message M = 88 (nb. 88<187)  encryption: C = 887 mod 187 = 11  decryption: M = 1123 mod 187 = 88 CCLAB
  • 24. Exponentiation can use the Square and Multiply Algorithm a fast, efficient algorithm for exponentiation concept is based on repeatedly squaring base and multiplying in the ones that are needed to compute the result  look at binary representation of exponent  only takes O(log2 n) multiples for number n     – eg. 75 = 74.71 = 3.7 = 10 mod 11 – eg. 3129 = 3128.31 = 5.3 = 4 mod 11 CCLAB
  • 26. RSA Key Generation  users of RSA must: – determine two primes at random - p, q – select either e or d and compute the other  primes p,q must not be easily derived from modulus N=p.q – means must be sufficiently large – typically guess and use probabilistic test  exponents e, d are inverses, so use Inverse algorithm to compute the other CCLAB
  • 27. RSA Security  three approaches to attacking RSA: – brute force key search (infeasible given size of numbers) – mathematical attacks (based on difficulty of computing ø(N), by factoring modulus N) – timing attacks (on running of decryption) CCLAB
  • 28. Factoring Problem  mathematical approach takes 3 forms: – factor N=p.q, hence find ø(N) and then d – determine ø(N) directly and find d – find d directly  currently believe all equivalent to factoring – have seen slow improvements over the years  as of Aug-99 best is 130 decimal digits (512) bit with GNFS – biggest improvement comes from improved algorithm  cf “Quadratic Sieve” to “Generalized Number Field Sieve” – barring dramatic breakthrough 1024+ bit RSA secure  ensure p, q of similar size and matching other constraints CCLAB
  • 29. Timing Attacks  developed in mid-1990’s  exploit timing variations in operations – eg. multiplying by small vs large number – or IF's varying which instructions executed  infer operand size based on time taken  RSA exploits time taken in exponentiation  countermeasures – use constant exponentiation time – add random delays – blind values used in calculations CCLAB
  • 30. Summary  have considered: – – – – – – – CCLAB prime numbers Fermat’s and Euler’s Theorems Primality Testing Chinese Remainder Theorem Discrete Logarithms principles of public-key cryptography RSA algorithm, implementation, security
  • 31. Assignments 1. Perform encryption and decryption using RSA algorithm, as in Figure 1, for the following: a. p = 3; q = 11, e = 7; M = 5 b. p = 5; q = 11, e = 3; M = 9 Encryption Plaintext 88 887 mod 187 = 11 Decryption Ciphertext 11 1123 mod 187 = 88 KU = 7, 187 KR = 23, 187 Figure 1. Example of RSA Algorithm Plaintext 88 2. In a public-key system using RSA, you intercept the ciphertext C = 10 sent to a user whose public key is e = 5, n = 35. What is the plaintext M? CCLAB 31