DOCSLIB.ORG

A Fast New Cryptographic Hash Function Based on Integer Tent Mapping System

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
A Fast New Cryptographic Hash Function Based on Integer Tent Mapping System JOURNAL OF COMPUTERS, VOL. 7, NO. 7, JULY 2012 1671 A Fast New Cryptographic Hash Function Based on Integer Tent Mapping System Jiandong Liu Information Engineering College, Beijing Institute of Petrochemical Technology, Beijing, China [email protected] Xiahui Wang, Kai Yang, Chen Zhao Information Engineering College, Beijing Institute of Petrochemical Technology, Beijing, China {Wnagxiahui, Yangkai0212, zhao_chen}@bipt.edu.cn Abstract—This paper proposes a novel one-way Hash collisions by SHA-1” by Wang and Yu is another function which is based on the Coupled Integer Tent breakthrough in the hash functions history [11]. Mapping System and termed as THA (THA-160, THA-256). Based on the MD iteration structure [3], the The THA-160 compresses a message of arbitrary length into conventional Hash functions (MDx and SHA) have many a fingerprint of 160 bits, well the THA-256 compresses a common design guidelines. The designs of their mixed message of arbitrary length into a fingerprint of 256 bits. The algorithm adopts a piecewise message expansion operations for each round are very similar, and all of scheme. Compared with SHA-1 and SHA-256 message them adopt integer modulo addition and logic function; expansion, the message expansion scheme has enhanced the therefore, many Hash functions have been breached degree of nonlinear diffusion of the message expansion, and successively within a short period of time, which thus increased the computation efficiency. In addition, as indicates the defects in the design of the Hash functions. the major nonlinear component of compression function, the In recent years, in order to obtain more secure hash traditional logic functions are replaced by the integer tent functions, the research on constructing one-way hash map, and so the scheme has ideal properties of diffusion and function has been carried out and it has achieved progress confusion. Furthermore, the parallel iteration structure is by utilizing the sensitivity of the chaotic system to the adopted in the compression functions, which is advantageous to high speed parallel operation of software variation of the variables and parameters [12, 18, 17, 13, and hardware. Preliminary security testing indicates that, 8, 1, 2, 4, 7, 20]. But at present, the Hash function this Hash function has a high degree of security, and it can structure scheme, which is based on the Chaos Theory, is be realized easily with great rapidity. Therefore, it is an not acceptable to the world due to the degradation of ideal substitution for conventional Hash function. dynamic properties of digital chaotic system and the defects of the structure scheme itself [5, 14]. Index Terms—cryptography, Hash function, tent map, To work out the SHA-3, a new cryptographic Hash message expansion, diffusion algorithm standard, the analysis and assessment of the Hash algorithm Competition, held by National Institute of Standards and Technology (NIST), is quite popular all I. INTRODUCTION around the world. Most of the schemes of SHA-3 Hash functions are essentially easy to compute algorithm, accepted by NIST, are improvements of the functions that produce a digital fingerprint of messages or conventional algorithm, which are filled with the data and they are ubiquitous in today’s IT systems and elements of old cryptographic algorithm. However, the have a wide range of applications in security protocols paper combines the research result of the chaotic hash and schemes, such as providing software integrity, digital function with the conventional hash function structure signatures and password protection. Furthermore, hash method, improves the design standard and the message function algorithms have been used for constructing expansion mode of conventional hash function and pseudo-random number generators, key derivation eventually proposes a coupled integer tent mapping algorithms, message authentication codes, as well as system-based cryptographic one-way hashing algorithm stream ciphers and block ciphers. termed as THA(Tent map-based hash algorithm). THA- In recent years, an extensive attention has been given 160 compresses a message of arbitrary length into a to the design and analysis of hash functions within the fingerprint of 160 bits; THA-256 compresses a message field of cryptology. The attacks used to find the of arbitrary length into a fingerprint of 256 bits. The “breakthrough” collisions presented at the rump session algorithm adopts a piece-wise message expansion scheme. of Crypto’04 by Wang et al.[10]. At that conference, Compared with SHA-1 and SHA-256 message expansion, Wang announced the presence of collisions within for the message expansion scheme has enhanced the degree MD4, MD5, HAVAL-128 and RIPEMD. “Finding of nonlinear diffusion of the message expansion, and thus © 2012 ACADEMY PUBLISHER doi:10.4304/jcp.7.7.1671-1680 1672 JOURNAL OF COMPUTERS, VOL. 7, NO. 7, JULY 2012 increases the computation efficiency. In addition, the P(2k-ε/2-1<x≤2k-1)=P(2k-ε/2≤x≤2k-1)=1-(1-ε/2k+1)； integer tent map replaces the traditional logic functions as k+1 k+1 k the major nonlinear component of compression function, P(xn+1<ε)= ε/2 +1-(1-ε/2 )= ε/2 and so the scheme has ideal properties of diffusion and confusion. Furthermore, the parallel iteration structure is When ε is odd， adopted in the compression functions, which is k+1 P(0≤x <ε/2-1/2)= P(0≤x <(ε-1)/2)=( ε-1)/2 ； advantageous to high speed parallel operation of software and hardware. P(2k-ε/2-1<x≤2k-1)= P(2k-(ε+1)/2≤x≤2k-1) =1-(1-(1-(ε+1)/ 2k+1))； II. INTEGER TENT MAP k+1 k+1 k A. The Standard Uniform Distribution Property of the P(xn+1<ε)= (ε-1)/2 +1-(1-(1+ε)/2 )= ε/2 Integer Tent Map Therefore, F obeys the standard uniform distribution The tent map is 1-D and piecewise-linear map as U[0, l]. Integer tent map has the nonlinear nature of follows [18]: rolled-out and folded-over, and its rolled-out characteristic will finally lead to the exponent separation x i1 of the adjacent points. While its folded-over characteristic , 0 xi1 , (1) keeps generating sequence with boundary, and makes the F : xi 1 x mapping irreversible. i1 , x 1. 1 i1 B. Realization approach of Integer Tent Map Suppose D =231, operator (? :) in C language could be This mapping is chaotic within the real number field 32 and one of its excellent characteristics is the uniform used in GF(2 ) to describe Eq.(2) as follows: distribution function. When the parameter α=0.5, real xn+1=xn<D?(xn<<1)+1:～xn <<1 (3) number operations will be turned into integer operations: Obviously, Eq. (3) could be realized through simple k1 logical judgment, logic reverse and shifting operations. If 2xn 1, xn [0,2 ) F : x n1 k1 (2) it is realized by assembly language or hardware, then the 2(l - xn ), xn [2 ,l] operation could be further simplified: Testing whether the highest digit is 0 or not, if it is 0, then shift one digit to In which, l＝2k-1 and the map F is termed as Integer left and add 1; otherwise, shift one digit left after bitwise Tent Map. The multiplication (division) within the complement operation. Simple as the operation is, it will integer fields in the formula (1) is turned into shifting be translated into jump instruction if we come cross if function in the formula (2). block here. Considering the effect of the jump instruction Definition: if the possible values of the random to the pipeline efficiency of modern Super Pipeline CPU, variable X in the set of integer are 0, 1… l and they are the water flow could be blocked whenever the branch distributed as: forecast fails and thus prolong the instruction period. To 1 avoid if jump, we adopt another equivalent form of Eq. (2) pk P(X k) 32 (described by C language operator): 2 (4) Then, the random variable X will be submitted to the xn+1=(( xn ^(-( xn >>31)))<<1)|(!( xn >>31)) uniform distribution in the integer [0, 1]. It can be seen that, simple instructions are solely used Theorem: The distribution of y=F(x) for integer x∈ in Eq. (4) which completely avoids the jumping operation. [0,l] of randomly chosen is the standard uniform C. Coupled Integer Tent Mapping System distribution U[0, l]． Proof: Considering that x is randomly chosen from [0, Since the Integer Tent Maps are defined within the integer set, the iterative sequence generated from the l], x obeys the standard uniform distribution U[0,l]，i.e. formula must turn to periodical form. In the iteration process, the disturbance is applied to breaking the ∀ ∈(0,l) P(xn ) 2k inherent cycle of the Integer Tent Maps to improve the Also as ε<l, so ε≤2k-2, then: Ergodicity of the Integer Tent Maps. As a result, the iteration series of the systems are randomized. Thus, we P(xn+1<ε)=P(F(x) <ε) build the following coupled mapping system model: = P(F(x) <ε,0≤x<2k-1)+ P(F(x) <ε,2k-1≤x≤l) =P(2x+1<ε,0≤x<2k-1)+ P(2(l-x)<ε,2k-1≤x≤l) ( i+1 ) ( i ) ( i ) x j =F( x j ) + (F ( x j-1 mod p )<<<21) =P(2x+1<ε,0≤2x≤2k-2)+P(x>2k-ε/2-1,2k-1≤x≤2k-1) k k = P(0≤x <ε/2-1/2) +P(2 -ε/2-1<x≤2 -1) ( i ) +(F ( x j+1 mod p )<<<11) (5) When ε is even： The operators in the formula are described in the P(0≤x <ε/2-1/2)= P(0≤x <ε/2)= ε/2k+1； following text.
Load more

Recommended publications
  • Increasing Cryptography Security Using Hash-Based Message
    ISSN (Print) : 2319-8613 ISSN (Online) : 0975-4024 Seyyed Mehdi Mousavi et al. / International Journal of Engineering and Technology (IJET) Increasing Cryptography Security using Hash-based Message Authentication Code Seyyed Mehdi Mousavi*1, Dr.Mohammad Hossein Shakour 2 1-Department of Computer Engineering, Shiraz Branch, Islamic AzadUniversity, Shiraz, Iran . Email : [email protected] 2-Assistant Professor, Department of Computer Engineering, Shiraz Branch, Islamic Azad University ,Shiraz ,Iran Abstract Nowadays, with the fast growth of information and communication technologies (ICTs) and the vulnerabilities threatening human societies, protecting and maintaining information is critical, and much attention should be paid to it. In the cryptography using hash-based message authentication code (HMAC), one can ensure the authenticity of a message. Using a cryptography key and a hash function, HMAC creates the message authentication code and adds it to the end of the message supposed to be sent to the recipient. If the recipient of the message code is the same as message authentication code, the packet will be confirmed. The study introduced a complementary function called X-HMAC by examining HMAC structure. This function uses two cryptography keys derived from the dedicated cryptography key of each packet and the dedicated cryptography key of each packet derived from the main X-HMAC cryptography key. In two phases, it hashes message bits and HMAC using bit Swapp and rotation to left. The results show that X-HMAC function can be a strong barrier against data identification and HMAC against the attacker, so that it cannot attack it easily by identifying the blocks and using HMAC weakness.
    [Show full text]
  • CHAPTER 9: ANALYSIS of the SHA and SHA-L HASH ALGORITHMS
    CHAPTER 9: ANALYSIS OF THE SHA AND SHA-l HASH ALGORITHMS In this chapter the SHA and SHA-l hash functions are analysed. First the SHA and SHA-l hash functions are described along with the relevant notation used in this chapter. This is followed by describing the algebraic structure of the message expansion algorithm used by SHA. We then proceed to exploit this algebraic structure of the message expansion algorithm by applying the generalised analysis framework presented in Chapter 8. We show that it is possible to construct collisions for each of the individual rounds of the SHA hash function. The source code that implements the attack is attached in Appendix F. The same techniques are then applied to SHA-l. SHA is an acronym for Secure Hash Algorithm. SHA and SHA-l are dedicated hash func- tions based on the iterative Damgard-Merkle construction [22] [23]. Both of the round func- tions utilised by these algorithms take a 512 bit input (or a multiple of 512) and produce a 160 bit hash value. SHA was first published as Federal Information Processing Standard 180 (FIPS 180). The secure hash algorithm is based on principles similar to those used in the design of MD4 [10]. SHA-l is a technical revision of SHA and was published as FIPS 180-1 [13]. It is believed that this revision makes SHA-l more secure than SHA [13] [50] [59]. SHA and SHA-l differ from MD4 with regard to the number of rounds used, the size of the hash result and the definition of a single step.
    [Show full text]
  • Advanced Encryption Standard (Aes) Modes of Operation
    ADVANCED ENCRYPTION STANDARD (AES) MODES OF OPERATION 1 Arya Rohan Under the guidance of Dr. Edward Schneider University of Maryland, College Park MISSION: TO SIMULATE BLOCK CIPHER MODES OF OPERATION FOR AES IN MATLAB Simulation of the AES (Rijndael Algorithm) in MATLAB for 128 bit key-length. Simulation of the five block cipher modes of operation for AES as per FIPS publication. Comparison of the five modes based on Avalanche Effect. Future Work 2 OUTLINE A brief history of AES Galois Field Theory De-Ciphering the Algorithm-ENCRYPTION De-Ciphering the Algorithm-DECRYPTION Block Cipher Modes of Operation Avalanche Effect Simulation in MATLAB Conclusion & Future Work References 3 A BRIEF HISTORY OF AES 4 In January 1997, researchers world-over were invited by NIST to submit proposals for a new standard to be called Advanced Encryption Standard (AES). From 15 serious proposals, the Rijndael algorithm proposed by Vincent Rijmen and Joan Daemen, two Belgian cryptographers won the contest. The Rijndael algorithm supported plaintext sizes of 128, 192 and 256 bits, as well as, key-lengths of 128, 192 and 256 bits. The Rijndael algorithm is based on the Galois field theory and hence it gives the algorithm provable 5 security properties. GALOIS FIELD 6 GALOIS FIELD - GROUP Group/Albelian Group: A group G or {G, .} is a set of elements with a binary operation denoted by . , that associates to each ordered pair (a, b) of elements in G an element (a . b) such that the following properties are obeyed: Closure: If a & b belong to G, then a . b also belongs to G.
    [Show full text]
  • Block Ciphers
    Block Ciphers Chester Rebeiro IIT Madras CR STINSON : chapters 3 Block Cipher KE KD untrusted communication link Alice E D Bob #%AR3Xf34^$ “Attack at Dawn!!” message encryption (ciphertext) decryption “Attack at Dawn!!” Encryption key is the same as the decryption key (KE = K D) CR 2 Block Cipher : Encryption Key Length Secret Key Plaintext Ciphertext Block Cipher (Encryption) Block Length • A block cipher encryption algorithm encrypts n bits of plaintext at a time • May need to pad the plaintext if necessary • y = ek(x) CR 3 Block Cipher : Decryption Key Length Secret Key Ciphertext Plaintext Block Cipher (Decryption) Block Length • A block cipher decryption algorithm recovers the plaintext from the ciphertext. • x = dk(y) CR 4 Inside the Block Cipher PlaintextBlock (an iterative cipher) Key Whitening Round 1 key1 Round 2 key2 Round 3 key3 Round n keyn Ciphertext Block • Each round has the same endomorphic cryptosystem, which takes a key and produces an intermediate ouput • Size of the key is huge… much larger than the block size. CR 5 Inside the Block Cipher (the key schedule) PlaintextBlock Secret Key Key Whitening Round 1 Round Key 1 Round 2 Round Key 2 Round 3 Round Key 3 Key Expansion Expansion Key Key Round n Round Key n Ciphertext Block • A single secret key of fixed size used to generate ‘round keys’ for each round CR 6 Inside the Round Function Round Input • Add Round key : Add Round Key Mixing operation between the round input and the round key. typically, an ex-or operation Confusion Layer • Confusion layer : Makes the relationship between round Diffusion Layer input and output complex.
    [Show full text]
  • MD5 Collisions the Effect on Computer Forensics April 2006
    Paper MD5 Collisions The Effect on Computer Forensics April 2006 ACCESS DATA , ON YOUR RADAR MD5 Collisions: The Impact on Computer Forensics Hash functions are one of the basic building blocks of modern cryptography. They are used for everything from password verification to digital signatures. A hash function has three fundamental properties: • It must be able to easily convert digital information (i.e. a message) into a fixed length hash value. • It must be computationally impossible to derive any information about the input message from just the hash. • It must be computationally impossible to find two files to have the same hash. A collision is when you find two files to have the same hash. The research published by Wang, Feng, Lai and Yu demonstrated that MD5 fails this third requirement since they were able to generate two different messages that have the same hash. In computer forensics hash functions are important because they provide a means of identifying and classifying electronic evidence. Because hash functions play a critical role in evidence authentication, a judge and jury must be able trust the hash values to uniquely identify electronic evidence. A hash function is unreliable when you can find any two messages that have the same hash. Birthday Paradox The easiest method explaining a hash collision is through what is frequently referred to as the Birthday Paradox. How many people one the street would you have to ask before there is greater than 50% probability that one of those people will share your birthday (same day not the same year)? The answer is 183 (i.e.
    [Show full text]
  • Visualization of the Avalanche Effect in CT2
    University of Mannheim Faculty for Business Informatics & Business Mathematics Theoretical Computer Science and IT Security Group Bachelor's Thesis Visualization of the Avalanche Effect in CT2 as part of the degree program Bachelor of Science Wirtschaftsinformatik submitted by Camilo Echeverri [email protected] on October 31, 2016 (2nd revised public version, Apr 18, 2017) Supervisors: Prof. Dr. Frederik Armknecht Prof. Bernhard Esslinger Visualization of the Avalanche Effect in CT2 Abstract Cryptographic algorithms must fulfill certain properties concerning their security. This thesis aims at providing insights into the importance of the avalanche effect property by introducing a new plugin for the cryptography and cryptanalysis platform CrypTool 2. The thesis addresses some of the desired properties, discusses the implementation of the plugin for modern and classic ciphers, guides the reader on how to use it, applies the proposed tool in order to test the avalanche effect of different cryptographic ciphers and hash functions, and interprets the results obtained. 2 Contents Abstract .......................................... 2 Contents .......................................... 3 List of Abbreviations .................................. 5 List of Figures ...................................... 6 List of Tables ....................................... 7 1 Introduction ..................................... 8 1.1 CrypTool 2 . 8 1.2 Outline of the Thesis . 9 2 Properties of Secure Block Ciphers ....................... 10 2.1 Avalanche Effect . 10 2.2 Completeness . 10 3 Related Work ..................................... 11 4 Plugin Design and Implementation ....................... 12 4.1 General Description of the Plugin . 12 4.2 Prepared Methods . 14 4.2.1 AES and DES . 14 4.3 Unprepared Methods . 20 4.3.1 Classic Ciphers, Modern Ciphers, and Hash Functions . 20 4.4 Architecture of the Code . 22 4.5 Limitations and Future Work .
    [Show full text]
  • Design Principles for Hash Functions Revisited
    Design Principles for Hash Functions Revisited Bart Preneel Katholieke Universiteit Leuven, COSIC bartDOTpreneel(AT)esatDOTkuleuvenDOTbe http://homes.esat.kuleuven.be/ preneel � October 2005 Outline Definitions • Generic Attacks • Constructions • A Comment on HMAC • Conclusions • are secure; they can be reduced to @ @ 2 classes based on linear transfor­ @ @ mations of variables. The properties @ of these 12 schemes with respect to @ @ weaknesses of the underlying block @ @ cipher are studied. The same ap­ proach can be extended to study keyed hash functions (MACs) based - -63102392168 on block ciphers and hash functions h based on modular arithmetic. Fi­ nally a new attack is presented on a scheme suggested by R. Merkle. This slide is now shown at the VI Spanish meeting on Information Se­ curity and Cryptology in a presenta­ tion on the state of hash functions. 2 Informal definitions (1) no secret parameters • x arbitrary length fixed length n • ) computation “easy” • One Way Hash Function (OWHF): preimage resistant: ! h(x) x with h(x) = h(x ) • 6) 0 0 2nd preimage resistant: • ! x; h(x) x (= x) with h(x ) = h(x) 6) 0 6 0 Collision Resistant Hash Function (CRHF) = OWHF + collision resistant: • x, x (x = x) with h(x) = h(x ). 6) 0 0 6 0 3 Informal definitions (2) preimage resistant 2nd preimage resistant 6) take a preimage resistant hash function; add an input bit b and • replace one input bit by the sum modulo 2 of this input bit and b 2nd preimage resistant preimage resistant 6) if h is OWHF, h is 2nd preimage resistant but not preimage • resistant 0 X if X n h(X) = 1kh(X) otherwise.j j < ( k collision resistant 2nd preimage resistant ) [Simon 98] one cannot derive collision resistance from ‘general’ preimage resistance 4 Formal definitions: (2nd) preimage resistance Notation: L = 0; 1 , l(n) > n f g A one-way hash function H is a function with domain D = Ll(n) and range R = Ln that satisfies the following conditions: preimage resistance: let x be selected uniformly in D and let M • be an adversary that on input h(x) uses time t and outputs < M(h(x)) D.
    [Show full text]
  • A Block Cipher Algorithm to Enhance the Avalanche Effect Using Dynamic Key- Dependent S-Box and Genetic Operations 1Balajee Maram and 2J.M
    International Journal of Pure and Applied Mathematics Volume 119 No. 10 2018, 399-418 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu A Block Cipher Algorithm to Enhance the Avalanche Effect Using Dynamic Key- Dependent S-Box and Genetic Operations 1Balajee Maram and 2J.M. Gnanasekar 1Department of CSE, GMRIT, Rajam, India. Research and Development Centre, Bharathiar University, Coimbatore. [email protected] 2Department of Computer Science & Engineering, Sri Venkateswara College of Engineering, Sriperumbudur Tamil Nadu. [email protected] Abstract In digital data security, an encryption technique plays a vital role to convert digital data into intelligible form. In this paper, a light-weight S- box is generated that depends on Pseudo-Random-Number-Generators. According to shared-secret-key, all the Pseudo-Random-Numbers are scrambled and input to the S-box. The complexity of S-box generation is very simple. Here the plain-text is encrypted using Genetic Operations and S-box which is generated based on shared-secret-key. The proposed algorithm is experimentally investigates the complexity, quality and performance using the S-box parameters which includes Hamming Distance, Balanced Output and the characteristic of cryptography is Avalanche Effect. Finally the comparison results motivates that the dynamic key-dependent S-box has good quality and performance than existing algorithms. 399 International Journal of Pure and Applied Mathematics Special Issue Index Terms:S-BOX, data security, random number, cryptography, genetic operations. 400 International Journal of Pure and Applied Mathematics Special Issue 1. Introduction In public network, several types of attacks1 can be avoided by applying Data Encryption/Decryption2.
    [Show full text]
  • Cryptanalysis of Stream Ciphers Based on Arrays and Modular Addition
    KATHOLIEKE UNIVERSITEIT LEUVEN FACULTEIT INGENIEURSWETENSCHAPPEN DEPARTEMENT ELEKTROTECHNIEK{ESAT Kasteelpark Arenberg 10, 3001 Leuven-Heverlee Cryptanalysis of Stream Ciphers Based on Arrays and Modular Addition Promotor: Proefschrift voorgedragen tot Prof. Dr. ir. Bart Preneel het behalen van het doctoraat in de ingenieurswetenschappen door Souradyuti Paul November 2006 KATHOLIEKE UNIVERSITEIT LEUVEN FACULTEIT INGENIEURSWETENSCHAPPEN DEPARTEMENT ELEKTROTECHNIEK{ESAT Kasteelpark Arenberg 10, 3001 Leuven-Heverlee Cryptanalysis of Stream Ciphers Based on Arrays and Modular Addition Jury: Proefschrift voorgedragen tot Prof. Dr. ir. Etienne Aernoudt, voorzitter het behalen van het doctoraat Prof. Dr. ir. Bart Preneel, promotor in de ingenieurswetenschappen Prof. Dr. ir. Andr´eBarb´e door Prof. Dr. ir. Marc Van Barel Prof. Dr. ir. Joos Vandewalle Souradyuti Paul Prof. Dr. Lars Knudsen (Technical University, Denmark) U.D.C. 681.3*D46 November 2006 ⃝c Katholieke Universiteit Leuven { Faculteit Ingenieurswetenschappen Arenbergkasteel, B-3001 Heverlee (Belgium) Alle rechten voorbehouden. Niets uit deze uitgave mag vermenigvuldigd en/of openbaar gemaakt worden door middel van druk, fotocopie, microfilm, elektron- isch of op welke andere wijze ook zonder voorafgaande schriftelijke toestemming van de uitgever. All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the publisher. D/2006/7515/88 ISBN 978-90-5682-754-0 To my parents for their unyielding ambition to see me educated and Prof. Bimal Roy for making cryptology possible in my life ... My Gratitude It feels awkward to claim the thesis to be singularly mine as a great number of people, directly or indirectly, participated in the process to make it see the light of day.
    [Show full text]
  • FPGA Implementation and Analysis of the Block Cipher Mode Architectures for the PRESENT Light Weight Encryption Algorithm
    ISSN (Print) : 0974-6846 Indian Journal of Science and Technology, Vol 9(38), DOI: 10.17485/ijst/2016/v9i38/90314, October 2016 ISSN (Online) : 0974-5645 FPGA Implementation and Analysis of the Block Cipher Mode Architectures for the PRESENT Light Weight Encryption Algorithm A. Prathiba* and V. S. Kanchana Bhaaskaran School of Electronics Engineering, VIT University Chennai, Chennai - 600127, India; prathi_communication@yahoo. co.in, [email protected] Abstract Objective: This paper presents the Field Programmable Gate Array (FPGA) implementations of the different block cipher mode architectures of the ISO standardized light weight block cipher PRESENT, designed for resource constrained devices. Methods/ Statistical Analysis: The performance evaluations compare the implementations of the different block cipher modes, namely Electronic Code Book (ECB) mode, Cipher Block Chaining (CBC) mode, Cipher Feedback Mode (CFB), Output Feed Back Mode (OFB) and CounTeR (CTR) mode for the PRESENT cipher. The throughput of encryption of three successive 64 bit blocks of data ranges from 565.312Mbps to 574.784Mbps for the modes other than the cipher feedback arrives as 68.912 Mbps, 155.392Mbps and300.8 Mbps for a 64 bit block of data for the input streams of size 8 bits, 16 bits andmode 32 in bits the respectively.Spartan-3 FPGA. Findings: The throughput The throughput for providing of the confidentialityblock cipher mode through hardware encryption architectures in the cipher of the feedback light weight mode cipher PRESENT demonstrates the high speed performance of the cipher in encryption/decryption of data as blocks and streams. Application/ Improvement: different modes of operation for the light weight block cipher PRESENT.
    [Show full text]
  • The Whirlpool Secure Hash Function
    Cryptologia, 30:55–67, 2006 Copyright Taylor & Francis Group, LLC ISSN: 0161-1194 print DOI: 10.1080/01611190500380090 The Whirlpool Secure Hash Function WILLIAM STALLINGS Abstract In this paper, we describe Whirlpool, which is a block-cipher-based secure hash function. Whirlpool produces a hash code of 512 bits for an input message of maximum length less than 2256 bits. The underlying block cipher, based on the Advanced Encryption Standard (AES), takes a 512-bit key and oper- ates on 512-bit blocks of plaintext. Whirlpool has been endorsed by NESSIE (New European Schemes for Signatures, Integrity, and Encryption), which is a European Union-sponsored effort to put forward a portfolio of strong crypto- graphic primitives of various types. Keywords advanced encryption standard, block cipher, hash function, sym- metric cipher, Whirlpool Introduction In this paper, we examine the hash function Whirlpool [1]. Whirlpool was developed by Vincent Rijmen, a Belgian who is co-inventor of Rijndael, adopted as the Advanced Encryption Standard (AES); and by Paulo Barreto, a Brazilian crypto- grapher. Whirlpool is one of only two hash functions endorsed by NESSIE (New European Schemes for Signatures, Integrity, and Encryption) [13].1 The NESSIE project is a European Union-sponsored effort to put forward a portfolio of strong cryptographic primitives of various types, including block ciphers, symmetric ciphers, hash functions, and message authentication codes. Background An essential element of most digital signature and message authentication schemes is a hash function. A hash function accepts a variable-size message M as input and pro- duces a fixed-size hash code HðMÞ, sometimes called a message digest, as output.
    [Show full text]
  • Implementaç˜Ao Em Software De Algoritmos De Resumo Criptográfico
    Instituto de Computa¸c~ao Universidade Estadual de Campinas Implementa¸c~aoem software de algoritmos de resumo criptogr´afico Thomaz Eduardo de Figueiredo Oliveira i FICHA CATALOGRÁFICA ELABORADA PELA BIBLIOTECA DO IMECC DA UNICAMP Bibliotecária: Maria Fabiana Bezerra Müller – CRB8 / 6162 Oliveira, Thomaz Eduardo de Figueiredo OL4i Implementação em software de algoritmos de resumo criptográfico/Thomaz Eduardo de Figueiredo Oliveira-- Campinas, [S.P. : s.n.], 2011. Orientador : Julio César López Hernández. Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação. 1.Criptografia. 2.Hashing (Computação). 3.Arquitetura de computadores. I. López Hernández, Julio César. II. Universidade Estadual de Campinas. Instituto de Computação. III. Título. Título em inglês: Software implementation of cryptographic hash algorithms Palavras-chave em inglês (Keywords): Cryptography Hashing (Computer science) Computer architecture Área de concentração: Teoria da Computação Titulação: Mestre em Ciência da Computação Banca examinadora: Prof. Dr. Julio César López Hernández (IC – UNICAMP) Prof. Dr. Ricardo Dahab (IC – UNICAMP) Dr. José Antônio Carrijo Barbosa (CEPESC-ABIN) Data da defesa: 16/06/2011 Programa de Pós-Graduação: Mestrado em Ciência da Computação ii Instituto de Computa¸c~ao Universidade Estadual de Campinas Implementa¸c~aoem software de algoritmos de resumo criptogr´afico Thomaz Eduardo de Figueiredo Oliveira1 16 de junho de 2011 Banca Examinadora: • Prof. Dr. Julio C´esarL´opez Hern´andez IC/Universidade Estadual de Campinas (Orientador) • Prof. Dr. Ricardo Dahab IC/Universidade Estadual de Campinas • Dr. Jos´eAnt^onioCarrijo Barbosa CEPESC/Ag^enciaBrasileira de Intelig^encia • Prof. Dr. Paulo L´ıciode Geus (Suplente) IC/Universidade Estadual de Campinas • Prof. Dr. Routo Terada (Suplente) IME/Universidade de S~aoPaulo 1Suporte financeiro de: CNPq (processo 133033/2009-0) 2009{2011.
    [Show full text]