Cryptographic Hash Functions: A Comparative Study of Algorithmic Efficiency and Security Solutions

Authors

  • Urvashi Chaudhary Department of Computer Science and Engineering, IFTM University, Moradabad, Uttar Pradesh, India.
  • Amit Bhatnagar School of Computer Science and Applications, IFTM University, Moradabad, Uttar Pradesh, India.

DOI:

https://doi.org/10.70917/ijcisim-2026-3313

Keywords:

Cryptographic Hashing, Chaos-Based Hash Functions, Data Security, Algorithm Evaluation, Digital Cryp-tography

Abstract

Cryptographic hash algorithms are regarded as tools that validate the data integrity in the file. In this globalised world, it is important to note the strengths and weaknesses of these functions. This research presents a comparative classification of cryptographic hash functions. Moreover, it assesses their performance, security and efficiency. This research paper analyzes the different usefulness of these algorithms in essential fields like blockchain, authentication, data management, digital forensics, etc. We perform a detailed performance analysis on the cost of computational speed, robustness to attack, and adaptability to emerging threats such as quantum computing. In addition, this study fills important gaps in the existing literature through the establishment of a systematic taxonomy based on building type, standardization, interoperability and sensitivity to inputs. According to our study, a framework that can be useful for the researchers and practitioners in choosing the right hash algorithms for specific operations. This research throws light on real world situation of security, efficiency and future-proofing activities as such any revealed or uncovered issue can contribute to the development of digital

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Published

2026-07-18

How to Cite

Urvashi Chaudhary, & Amit Bhatnagar. (2026). Cryptographic Hash Functions: A Comparative Study of Algorithmic Efficiency and Security Solutions. International Journal of Computer Information Systems and Industrial Management Applications, 18(8s), 810–825. https://doi.org/10.70917/ijcisim-2026-3313

Issue

Section

Original Articles