Sponge based Lightweight Cryptographic Hash Functions for IoT Applications

Gupta, Deena Nath; Kumar, Rajendra

doi:10.1109/conit51480.2021.9498572

Cited by 14 publications

(7 citation statements)

References 18 publications

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“…IoT applications must be designed to provide security, privacy, transparency, and subject to keep ethical constraints [4]. Some examples of theoretical and experimental attacks to highlight the weakness of more efficient but less secure designs of IoT applications are discussed in [5] and [6]. In [5] crypt-analysis on Photon using cube attack is conducted and found that it is possible to recover more bits of plaintext from the hash digest.…”

Section: A Iot Overviewmentioning

confidence: 99%

“…In photon key-recovery-based attacks remains an open issue. In [6] we can find a comparative study about the different hash function based on speed, power requirements and security. Each LWT hash function is have its own advantages and disadvantages.…”

Section: A Iot Overviewmentioning

confidence: 99%

“…Here Rel() and Img() indicates real and imaginary parts. The values of α 1 and α 2 can be obtained using ( 5) and (6).…”

Section: A New Mersenne Number Transformmentioning

confidence: 99%

“…These values are used to calculate NMNT. Then calculate the value of q, α 1 , and α 2 using ( 5) and (6). NMNT parameters α 1 , α 2 and β(nk) depend upon the transform length.…”

Section: Algorithm 1 Algorithm For Lnmnt Lwt Hashmentioning

confidence: 99%

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Security Analysis of LNMNT-LightWeight Crypto Hash Function for IoT

Nabeel

Habaebi²,

Islam

2021

IEEE Access

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Conventional cryptographic techniques are inappropriate for resource-constrained applications in the Internet of Things (IoT) domain because of their high resources requirement. This paper introduces a new Lightweight (LWT) hash function termed Lightweight New Mersenne Number Transform (LNMNT) Hash function, suitable for many IoT applications. The proposed LWT hash function is evaluated in terms of randomness, confusion, diffusion, distribution of hash function, and different attacks. The randomness analysis is performed using the NIST test suit. The LNMNT LWT hash function has been benchmarked against other LWT hash functions in terms of execution time, cycles per byte, memory usage, and consumed energy. The analysis showed that the LNMNT LWT hash function has excellent randomness behavior and is highly sensitive to the slight change in the input message too. Moreover, it provides low execution time, memory usage, and power consumption against the other LWT hash functions.

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Section: A Iot Overviewmentioning

confidence: 99%

Section: A Iot Overviewmentioning

confidence: 99%

“…Here Rel() and Img() indicates real and imaginary parts. The values of α 1 and α 2 can be obtained using ( 5) and (6).…”

Section: A New Mersenne Number Transformmentioning

confidence: 99%

“…These values are used to calculate NMNT. Then calculate the value of q, α 1 , and α 2 using ( 5) and (6). NMNT parameters α 1 , α 2 and β(nk) depend upon the transform length.…”

Section: Algorithm 1 Algorithm For Lnmnt Lwt Hashmentioning

confidence: 99%

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Security Analysis of LNMNT-LightWeight Crypto Hash Function for IoT

Nabeel

Habaebi²,

Islam

2021

IEEE Access

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“…In addition, researchers have recently started to explore the use of lightweight cryptographic hash functions for validating transmitted messages in Internet of Things (IoT) [17]. Given the low storage and computation power of the devices in an IoT network, traditional hash algorithms cannot be used to efficiently assert data integrity [17]. IoT is being used in a wide range of fields including healthcare, agriculture and even one's day-to-day lifestyle.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Avalanche Effect of Various Cryptographically Secure Hash Functions and Hash-Based Applications

et al. 2022

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In modern cryptography, hash functions are considered as one of the key components for secure communication. They play a vital role in a wide range of applications such as ensuring the authentication and integrity of the data, in forensic investigation, password storage, random number generations for unique session keys, and for creating a unified view in blockchain. The Avalanche effect (also known as diffusion) is an important characteristic of a hash function where a minor change in the hash function's input will result in a significantly different output. The absence of this property implies that the hash function is vulnerable to various attacks such as collision attack, length extension attack, and preimage attack. Through this research, we have investigated the Avalanche effect of sixteen hash functions and two hash-based applications, namely Hash-based Message Authentication Code (HMAC) and Public Key Cryptography Standards (PKCS). To measure the performance of these hash functions and hash-based applications, we have implemented a generic circuit using CrypTool for automating the simulation process for multiple trials. Simulation results indicate that around half of the inputs of each hash function failed to exhibit the Strict Avalanche Criterion (SAC) and, Bit Independence Criterion (BIC). Moreover, we ranked the hash functions based on Multi Criteria Decision Metrics (MCDM) using intermediate states of simulation results. Furthermore, a total of fifteen statistical tests were carried out to evaluate the randomization property of the hash functions using NIST (National Institute of Standards and Technology) toolkit. This study is aimed to open up a future scope of research to the need for improvement of various hash functions by analyzing the randomization and non-correlation properties of existing functions in terms of the Avalanche effect.

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Hybrid homomorphic‐asymmetric lightweight cryptosystem for securing smart devices: A review

Mathews,

Jose

2023

Trans Emerging Tel Tech

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The Internet of Things (IoT) has emerged as a new concept in information and communication technology, and its structure depends on smart device communications. It was evolving as a significant factor of the Internet and made the interconnection of huge devices likely, accumulating huge amounts of information through innovative technologies. Thus, the requirement for IoT security is more significant. Scalable services and applications are susceptible to information leakage and attacks, demanding higher privacy and security. Cryptography is a technique to secure data integrity, confidentiality, authentication, and network access control. Owing to several limitations of IoT devices, the classical cryptographic protocols are not appropriate for all IoT smart devices like smart cities, smart homes and so forth. Consequently, researchers have introduced numerous lightweight cryptographic (LWC) protocols and algorithms for IoT security. Numerous solutions are available in the research field regarding security using cryptographic algorithms in IoT environments; however, such solutions have not attained satisfactory outcomes. So, finding a solution by examining the recent issues is open research. This article investigates the various LWC protocols for IoT devices and provides a reasonable enquiry into existing ubiquitous ciphers. Furthermore, the article appraises various recently presented lightweight (LW) block ciphers and hybrid homomorphic LWC regarding security. In addition, this article assists in comprehending the significance of security features and progression in cryptographic algorithms. Finally, the article reports on the necessary changes and recommends upcoming research focuses. Also, this article assists in realizing the importance of security and progressions in cryptographic algorithms.

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Sponge based Lightweight Cryptographic Hash Functions for IoT Applications

Cited by 14 publications

References 18 publications

Security Analysis of LNMNT-LightWeight Crypto Hash Function for IoT

Security Analysis of LNMNT-LightWeight Crypto Hash Function for IoT

Investigating the Avalanche Effect of Various Cryptographically Secure Hash Functions and Hash-Based Applications

Hybrid homomorphic‐asymmetric lightweight cryptosystem for securing smart devices: A review

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