 Open Access
 Authors : Rojasree V , Gnana Jayanthi J , Christy Sujatha. D
 Paper ID : IJERTV9IS120185
 Volume & Issue : Volume 09, Issue 12 (December 2020)
 Published (First Online): 26122020
 ISSN (Online) : 22780181
 Publisher Name : IJERT
 License: This work is licensed under a Creative Commons Attribution 4.0 International License
Research Intuitions of Hashing Crypto System
1Rojasree. V, 2Gnana Jayanthi. J, 3Christy Sujatha. D
PG & Research Department of Computer Science, Rajah Serfoji Govt. College(A),
(Affiliated to Bharathidasan University), Thanjavur613005, Tamilnadu, India.
AbstractData transition over the internet has become inevitable. Most data transmitted in the form of multimedia. The data transmission must be less complex and user friendly at the same time with more security. Message authentication and integrity is one of the major issues in security data Transmission. There are plenty of methods used to ensure the integrity of data when it is send from the receiver and before it reaches the corresponding receiver. If these messages are tampered in the midst, it should be intimated to the receiver and discarded. Hash algorithms are supposed to provide the integrity but almost all the algorithms have confirmed breakable or less secure. In this review, the performances of various hash functions are studied with an analysis from the point of view of various researchers.
KeywordsHash Function; Message Authentication Code; Message Digest; Secure Hash Algorithm; Message Integrity; RIPEMD; WHIRLPOOL; BLAKE; Cuckoo; JH; HAVAL; TIGER.

INTRODUCTION
The advancement in mobile telecommunications and recent developments in mobile technology, make it possible to reach anyperson at anywhere and anytime. However, unlike handwritten letters, or voice messages, information in the electronic data communications through mobile communications with latest mobile devices and applications, do not provide protection of privacy or message authenticity.
Choosing a symmetric and publickey cryptography system is application dependent where (i) publickey system is widely used for protecting email and (ii) symmetric key system is used in short message applications. In spite of incorporating well developed cryptography systems (both Symmetrickey system and Asymmetrickey system) in networks, there are hackers / intruders who silently interfere and attack the entire network.
Cryptographic hashing has long played an essential role in Cyber Security. This is because both SymmetricKey and AsymmetricKey Cryptography use a specific key to encrypt or decrypt a message, that is reversing of plaintext from the cipher text is possible with the help of keys, whereas reversing is not possible in case of Hashing. In the cyber world, it becomes necessary to ensure authenticity of information and this can be achieved through hashing in cryptography. Later it was realized that hashing can also be a very useful building block to solve other security issues in communication and computer networks.
Protection of passwords, construction of efficient digital signature schemes, building block in protocols such as entity authentication protocols, key distribution protocols, bit commitment etc. are done by using efficient and secure hash functions that behaves as a random function implying that
there is no correlation between input and output bits; and no correlation between output bits, etc.
To ensure about the originator of the message, Message Authentication Code (MAC) is used which can be implemented using either symmetric Stream cipher cryptography or Hashing cryptography techniques. However, MAC is limited with (i) Establishment of Shared Secret and (ii) Inability to Provide NonRepudiation. Even some kind of attacks is found like Content modification, Sequence modification, Timing modification etc.
This paper is aimed to discuss the several security algorithms based on hash functions in cryptography to protect the authenticity of information. In the literature study of hash functions in cryptography, it is observed that several researches have come out with new innovations, based on the standard hashing algorithms and the types of hashing functions. Survey papers have been collected from the year ranging from 1957 through 2019 and a few of them are briefed here in this literature as below.
The paper is organized as follows. Section II concise the role of hashing in cryptography. Section III highlights a few of the renowned hashing algorithms those are in use. In section IV, various categories of hash functions are overviewed. Section V is presented with works related by implementing hashing functions. Section VI consolidates the observations and inferences from section II, III, and IV. Section VII concludes this paper with further research directions.

HASHING IN CRYPTOGRAPHY

Background
The term hash means chop and mix and hashing function is the one which chops and mixes information and derives hash results. The concept of hashing was first stated in the year 1953 after the invention of the first true electronic computer in 1950 [Luhn 1953]. In the field of computer science, for any arbitrary set of keys, a random uniform hash is the best choice.
In 1957, motivated by the needs of using a random access system with very large capacity for business applications, Wesley Peterson provided an estimation of the amount of search required for the exact location of a record in several types of storage systems, including the index table method and the sortedfile method [Wesley, 1957]. In 1968, the word hashing was first used [Morris, 1968].

Definition
A hashing function is any function (Â·) that can be used to map an arbitrary size of data to a fixed interval [0, m]. Given a dataset containing n data points X = [x1, x2,… xn] RD, and a hashing function (Â·), the h(X) = [h(x1), h(x2) ,…, h(xn)] [0,m] can be called the hash values or simply
hashes of data points X = [x1, x2,…xn] RD [Alfred et al., 1996].

Hashing in Cryptography
Hashing in cryptography uses hash functions to map strings (messages) of arbitrary length to strings of a fixed and short length (message digest), ranging between 128 and 512 bits [Bart, 1994]. This hash function is called a Message Authentication Code or MAC and doesnt need. The fixed size hash results are used for validating a original message.
Fig. 1 – A Hash Function
The properties of hash function include the following
(i) Compression which means that a message of any size can be compressed to a fixed small size crypt message called Message digest. (ii) Preimage resistance which means that is impossible to retrieve a message from a known hash digest. (iii) Weak collision resistance which means that no message produces a hash digest that is same as another message. (iv) Strong Collision resistance which means that no two different messages produce a same hash digests. The characteristics of a hash function are as follows (i) It should be very tough to produce the hash message. (ii) Hash function can be applied to a variable length of data. (iii) Even a small change in the message changes the hash value produced. (iv) Hash function is a oneway function that could never be inverted. (v) Hash function uses the entire data and distribute the input uniformly to the entire set. A major attack on hash function is the collision attack where an intruder could produce a message that produces a same hash value as another message and is called birthday attack.


RENOWNED HASHING ALGORITHMS The most widely used hashing functions are (i) Message
Digest (MD), (ii) Secure Hash Algorithm (SHA), (iii) RACE Integrity Primitives Evaluation Message Digest (RIPEMD), (iv) Whirlpool, (v) BLAKE, (vi) Cuckoo, (vii) JH, (viii) HAVAL, and (ix) TIGER. A study is carried out on the widely used hashing functions and glimpse of them ar presented in this section.
(i).Message Digest (MD)
The Message Digest family encompasses hash functions such as MD2, MD4, MD5 and MD6 [Rivest, 1992].
MD5 is a 128bit hash function accepted as Internet Standard RFC 1321 and is used widely for its strength in providing integrity of the message transferred. However, in 2004, collisions were found in MD5 [Stevens et al., 2009] and hence it is no longer recommended for use. Even though extensive vulnerabilities found with MD5, it is used as a checksum to verify data integrity, but only against unintentional corruption.
(ii).Secure Hash Algorithm (SHA)
The Secure Hash Algorithm (SHA) family comprises of four SHA algorithms; SHA0, SHA1, SHA2, and SHA3 [Hernandez et al., 2015]. Though same family each algorithm is structurally different.
SHA0 is a 160bit hash function published by the National Institute of Standards and Technology (NIST) in 1993 but did not become popular because of few weaknesses in it. Later in 1995, SHA1 was designed to correct alleged weaknesses of SHA0 and employed in several widely used applications and protocols including Secure Socket Layer (SSL) security. However longterm employability of SHA1 is doubtful. SHA2 family has four further SHA variants, SHA224, SHA256, SHA384, and SHA512 where 224, 256, 384 and 512 are the number of bits in their hash value. No successful attacks have been reported on SHA2 hash function and employed as a strong hash function. However, NIST called for new competitive hash function designs and in October 2012, the NIST chose the Keccak algorithm as the new SHA3 standard. Keccak offers many benefits, such as efficient performance and good resistance for attacks.
(iii).RACE Integrity Primitives Evaluation Message Digest (RIPEMD)
The RACE Integrity Primitives Evaluation Message Digest family generally known as a family of European hash functions includes RIPEMD, RIPEMD128, RIPEMD160, RIPEMD256, and RIPEMD320bit [Bosselaers, 2005].
RIPEMD 128bit has overcome vulnerabilities on the original RIPEMD. RIPEMD160 is widely used version in the family. Even though RIPEMD256 and RIPEMD320 have decreased the accidental collisions, they do not have higher levels of security as compared to RIPEMD128 and RIPEMD160 respectively.
(iv).Whirlpool
The Whirlpool family consists of WHIRLPOOL0, WHIRLPOOLT and WHIRLPOOL [McLoone et al., 2005].
A refined form of Advanced Encryption Standard (AES) is Whirlpool, a 512bit hash function was chosen as part of the New European Schemes for Signatures, Integrity and Encryption (NESSIE) in February 2003 and has been included in the ISO/IEC 101183 standard. Whirlpool is one of the unbroken methods for constructing a hash function from a block cipher and is provably secure.
(v).BLAKE
The BLAKE family consists of BLAKE, BLAKE2, BLAKE2b and BLAKE2s [Aumasson et al., 2013].
BLAKE did not win in SHA3 competition. Then BLAKE2 has shown higher performance than BLAKE. Reduction in the number of rounds of compression from 16 to 12, BLAKE2b has comeup. Then BLAKE2s has turned up by reducing the number of initialization words from 24 to 8. BLAKE2 implements tree hashing for incremental update, verification of large files and minimal padding for messages with fast computation. However, attacks are found in BLAKE [Ji et al., 2009].
(vi).CUCKOO
Cuckoo, a dynamization of a static dictionary, uses two hash tables. Insertion and deletion is used to move the keys either to the table or from the table [Devroye et al., 2003]. Two way hashing method are used to two instances of Chained hashing. However, If the chain is long rehash is needed. Finally the large amount of storage space is needed for dynamic perfect hashing.
(vii).JH
JH hash family includes four types JH224, JH256, JH 384 and JH512 using compression function. This family is introduced in 2008 to ensure high collision resistance and security because of its two features [George et al., 2013].
This function consists of five steps, which are: Padding the initial message, M, passing the padded message into message blocks, setting the initial hash value, H(0), computing the hash value H (N) and finally generating the message digest by truncating H (N).

HAVAL
HAVAL, a oneway hashing algorithm can produce output message digests with different sizes of 128, 160, 192,
224 and 256bits [Sklavos et al., 2005]. However, two messages collide each other when they are compressed to the same message digest. Therefore, HAVAL could not be formally proved to be secure. HAVAL operation defines at least three passes.

TIGER
Tiger, a cryptographic hash function, proposed by Anderson and Biham in 1996, processes 512bit blocks and produces a 192bit hash value [Mendel et al., 2007]. Block cipherbased compression function having key schedule block and state update transformation block, with 8bit input produces 64bit output and provides faster diffusion in comparison with integer arithmetic. The TIGER is prone to ManintheMiddle attack.


TYPES OF HASH FUNCTIONS
The literature on the hash functions are also carried out on the types of Hashing. The types of hashing are classified into three major categories as (i) Oneway hash function (OWHF), defined in [Merkle, 1979], [Rabin, 1978]; (ii) Collision resistant hash function (CRHF) defined in [Damgird, 1988], and (iii) Message Authentication Code (MAC) defined in [Merkle, 1990].
Based on the application OWHF or CRHF is used. MAC is used with OWHF and CRHF and is used for authentication of multidestination messages [Mitchell, 1989].

LITERATURE SURVEY OF RELATED WORKS ON HASHING ALGORITHM
Based on the above three major types of hash functions, several authors have researched. As a result, many hash functions have been introduced and some of the noteworthy and recent works are briefed in sequence.
Universal Oneway Hash Function (UOWHF) is used to build a signature scheme [Naor et al., 1990]. It is sufficient to have a UOWHF that compresses to a single bit from an arbitrary number of bits. Several authors have subsequently
improved their construction. A key result by J. Rompe1 is a (very inefficient) construction for a UOWHF based on any oneway function, which is the weakest possible assumption [Rompel, 1990].
Kaliski a chief scientist from RSA Laboratories performed a survey that focuses on encryption algorithms, the lowlevel, stepbystep transformations on messages that address the problems of cryptographic algorithms, as well as applications that involve encryption [Kaliski, 1993]. The survey covers approved standards and work in progress. The modifiers draft and the proposed work may contribute to some important step for an innovation thus proving that the recent cryptographic algorithms are yet to be more secure.
Knudsen et al., presented a hash function named SMASH, which has a hash code of 256 bits and is as fast as SHA256 [Knudsen et al., 2005]. The author considered compression functions is designed from one of fixed bijective mapping f: {0, 1}n {0, 1}n. As the compression functions are weak the resulting hash functions are not easy to break.
Eli et al. proposed HAsh Iterative FrAmework (HAIFA) as a replacement for the MerkleDamgard construction to support the properties of hash functions and variable hash size [Eli et al., 2006]. HAIFA performs either offline or online computation of the hash function in one pass with a fixed quantity of memory autonomously of the size of the message. If the message size is large this method becomes absurd.
Dahmen et al. proposed an algorithm for Merkle authentication trees which does not need collision resistant hash [Dahmen et al., 2008]. The signature scheme obtained from this algorithm is protected against adaptive chosen message attacks, When the underlying hash function is second preimage resistant this signature scheme is unforgeable, as it produces signatures that are shorterin size, and not affected by birthday attacks and are found by recent collision algorithms too.
Mustafa et al. proposed a Genetic Algorithm to efficiently hash a given set of keys which minimize the number of collisions. The proposed algorithm created Universal Hash function for hashing a given set of keys which results in the least possible number of collisions [Mustafa et al., 2009]. This algorithm is suitable for the situations where the input distribution to be hashed is dynamic and where the hash function is to be changed dynamically in order to rehash the input. However, this algorithm involved little computational overhead and could be implemented in any areas of requirements. The sieve algorithms and an improvement in the encoding of the chromosomes will make this algorithm more suitable to almost all the situations by avoiding some few case study flaws.
Philippe et al. introduced SipHash, a family of hash functions to attend to the requirements for highsecurity shortinput MACs used for network traffic authentication and hashtable lookups [Philippe et al., 2012]. SipHash is simpler than MACs based on universal hashing. The authors themselves have crypt analyzed and found that the keys the states of this hashing could be recognized but in a slower fashion when compared to other hash functions.
Jinse et al. investigated the feasibility of contentbased authentication using image hashing technique. The authors considered digital water markingbased approach, an alternative to the traditional Wireless Multimedia Sensor Networks (WMSNs) techniques [Jinse et al., 2013]. Moreover, the author measured the performance of five selected image hashing algorithms with respect to robustness, sensitivity, and security. But the contentbased image authentication is not a hard authentication solution using classical cryptography; however some potential attacks can still exist by exploiting the strong statistical and perceptual redundancy on the image content.
Ke Yan et al. designed DMHASH algorithm, a dual flow matching algorithm based on hash functions in the aspect of space and time performance [Ke Yan et al. 2013]. The author enhanced XOR hashing algorithm to improve the randomness of the key value and then mapped the key value to a memory address. This algorithm does not eliminate the collision, so resolving the conflict of a hashing algorithm is a problem and must be solved.
Nasir et al. introduced Genetic Hash Algorithm (GHA) by merging Hash Visualization Technique with Genetic Algorithms, to improve hash visualization [Nasir et al., 2014]. Hash visualization technique generates random images using a tree in which the nodes of the tree are randomly assigned mathematical operations and the leaves are assigned random values. The tree is evaluated and the resulting value is assigned to a pixel. Genetic algorithm is an optimization technique based on chromosome of living creatures which has a fitness value. In this Genetic Hash Algorithm, the trees are generated to obtain a better and larger tree that will generate images with higher security. However, as the collisions depend on the nature and design of hash functions, the resulted number of collisions has not been considerably changed.
Bernstein et al. introduced SPHINCS, to perform randomized treebased stateless signatures, which is a high security postquantum stateless hashbased signature scheme that signs hundreds of messages per second [Bernstein et al., 2015]. The signature scheme is designed to provide longterm security even against attackers having with quantum computers.
Shay et al. introduced SPHINCSSimpira, a modified version of SPHINCS signature scheme using Simpira as building block with postquantum security [Shay et al., 2017]. Simpira provides a set of high throughput cryptographic permutation with different range of input sizes. Still Simpira can create 1.5x speed up for generating pairs of keys. Simpira has proved a same security level in both prequantum and postquantum period.
Sevilay et al. introduced colour hidden hash algorithm, to transform data into binary value and then matched RGBA (Red, Green, Black, Alpha) colour value where each colour code value is related with hash code function [Sevilay et al., 2019]. This algorithm initially converted the input data to byte array then it transformed into fourbit groups from this array and generated a message digest length according to the system needs and requirements. Moreover, different hash code is generated as private with unique additional input
value and shared between each communicated systems. But it is impossible to get clear text from hash value.

OBSERVATIONS AND INFERENCES After a thorough review of the plenty of hash functions
like MD, SHA, BLAKE, Whirlpool, RIPEMD, HAIFA, SMASH, Simpira SPHINCS, it is clearly understood that almost all hash function algorithms are prone to birthday attacks, dictionary attacks etc. and are prone to attacks by quantumcomputers. SPHINCSSimpira and SPHINICS are able to withstand to some extent, the fast performing quantumcomputerized attacks. Most algorithms require some overhead for the stand of the algorithm in the quantumcomputer world. It is left to the researcher to design some new hash function that could escape the attacker equipped with a quantum computer.

CONCLUSION
Hash functions also similar to asymmetric encryption algorithm is capable to withstand the adversities of post quantum cryptography if the processes of hashing is chosen in such a way that the keys and the states of the hash function is not easily calculated by the super computer. As seen from the review in this paper, only a few hash functions are noteworthy and is also with some drawbacks to be implemented every hash function if very good employs some form of overhead. The new researchers can try to find some methods of hash function that is also devoid of collision and is free from birthday attack so that the digital signature and secret keys are still safe in the communication channel.
ACKNOWLEDGEMENT
The authors sincerely express their special thanks and sincere gratitude to Tamilnadu State Council for Higher Education (TNSCHE) and Department of Science and Technology (DST), India, for sponsoring this research works. We would also like to thank Dr.S.Albert Rabara, Dr. Mani, Mr.Arun Gnanaraj, Mrs. Christy Sujatha, Mrs.M.Manimozhi as well as other correspondents for productive discussions and improvements of early drafts of this paper, and for pointers to the literature.
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