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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2025
Volume 10 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 107
Article Submitted : 13630
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| Paper Title: | Neural Network-Driven Cryptographic Frameworks: Enhancing Image Security Through AI-Based Algorithm |
| Authors Name: | ATHARVA KULKARNI |
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| Author Reg. ID: |
IJRTI_200442
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| Published Paper Id: | IJRTI2502009 |
| Published In: | Volume 10 Issue 2, February-2025 |
| DOI: | |
| Abstract: | In an era where the proliferation of digital imagery over insecure networks grows exponentially, robust cryptographic systems are essential to safeguard sensitive visual data. This paper introduces an innovative cryptographic framework leveraging artificial neural networks (ANNs) to enhance image encryption and security. The proposed system integrates machine learning and advanced cryptographic algorithms to achieve superior resistance against traditional and emerging cyber threats. We evaluate the system's performance using Structural Similarity Index Measure (SSIM), entropy, and computational efficiency. Experimental results demonstrate significant advancements in encryption strength, efficiency, and resilience against statistical and differential attacks, showcasing the potential of neural network-driven systems to redefine standards in image security. |
| Keywords: | Neural Networks, Image Encryption, Cryptographic Systems, Machine Learning, Data Security, Artificial Intelligence, Structural Similarity Index Measure (SSIM), Statistical Attack Resistance, Differential Attack Resistance, Advanced Cryptography |
| Cite Article: | "Neural Network-Driven Cryptographic Frameworks: Enhancing Image Security Through AI-Based Algorithm", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a53-a77, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502009.pdf |
| Downloads: | 000123 |
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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: IJRTI2502009
Registration ID:200442
Published In: Volume 10 Issue 2, February-2025
DOI (Digital Object Identifier):
Page No: a53-a77 Country: PUNE, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2502009 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2502009 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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