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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24205
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
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| Paper Title: | Quantum-Resistant Cryptographic Primitives Using Modular Hash Learning Algorithms |
| Authors Name: | Sandhya Thakur , Tejal Nandkishor Yadav , Amruta Sambajwar , Lavanya Shembekar , Sangeeta Alagi |
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IJRTI_211706
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| Published Paper Id: | IJRTI2604218 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | This research focuses on developing cryptographic systems that can withstand the computational power of quantum computers. Classical algorithms like RSA and ECC, which currently secure global communication, are vulnerable to quantum attacks such as those based on Shor’s and Grover’s algorithms. This study introduces Modular Hash Learning Algorithms (MHLA), a hybrid approach combining modular arithmetic, hash-based cryptography, and learning-based optimization to design quantum-resistant cryptographic primitives. The proposed framework supports secure hash functions, digital signatures, and key exchange protocols that maintain security and efficiency in a post-quantum world. The model achieves around 98% tamper detection and shows 38% greater resistance compared to traditional hashing methods. This research establishes MHLA as a strong foundation for post-quantum cryptographic systems suitable for applications in blockchain, IoT, cloud computing, and defense communication. |
| Keywords: | Quantum Cryptography, Post-Quantum Security, Modular Hash Learning Algorithm (MHLA), Hash-Based Cryptography, Digital Signatures, Quantum-Resistant Primitives, Machine Learning in Cryptography, Blockchain Security, IoT Security, Post-Quantum Cryptography (PQC) |
| Cite Article: | "Quantum-Resistant Cryptographic Primitives Using Modular Hash Learning Algorithms", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b601-b604, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604218.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604218
Registration ID:211706
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b601-b604 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604218 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604218 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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