Abstract :

The Rapid Growth Of Digital Technologies Has Led To An Enormous Increase In The Amount Of Sensitive Information Shared And Stored Across Online Platforms. As Organizations Increasingly Rely On Cloud Services, Peer-to-peer Networks, And Blockchain-based Systems, Ensuring The Privacy And Security Of User Data Has Become A Critical Concern. Although Encryption Techniques Are Widely Used To Safeguard Information, Data Stored On External Servers Remains Vulnerable To Unauthorized Access, Particularly From Insider Threats. To Overcome This Issue, This Study Presents A Secure Data Protection Framework That Combines Adaptive Hybrid Encryption With Intelligent Steganography To Provide Multiple Layers Of Security. The Proposed Approach Integrates AES And ECC Algorithms, Allowing Secure Key Management While Preventing Any Single Entity From Accessing The Complete Decryption Process. In Addition, Encrypted Data Is Embedded Within Digital Images Using Image Steganography, Making The Existence Of Confidential Information Difficult To Detect. Image-based Techniques Are Selected Because They Offer An Effective Balance Between Security And Computational Efficiency. A Hash Value Is Generated For Every Uploaded File To Verify Data Integrity, While Multi-factor Authentication Using An Email-based One-time Password Strengthens User Verification. The System Also Includes Cybersecurity Awareness Resources And Security Updates, Providing Users With A Secure, Reliable, And User-friendly Platform For Protecting Confidential Digital Information.

Published:

30-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1304-1310

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite