Image Authentication Using Cryptography and Watermarking
Keywords:
Advanced Encryption Standard (AES), Cryptography, Discrete wavelet transform (DWT), Image authentication, WatermarkingAbstract
With the exponential growth in digital image transmission over public and private networks, ensuring the authenticity and integrity of images has become a critical concern. Unauthorized alterations, duplications, and forgeries pose significant threats to sensitive domains such as medical diagnostics, military surveillance, and legal documentation. This research proposes a dual-layered image authentication system that integrates cryptographic techniques with digital watermarking to provide robust security and tamper detection capabilities.
The proposed method uses cryptographic algorithms, specifically the Advanced Encryption Standard (AES), to encrypt watermark data and applies Discrete Wavelet Transform (DWT)-based watermarking to imperceptibly embed the encrypted watermark into the image. The cryptographic layer protects the watermark during embedding and transmission, while the watermarking layer maintains integrity and enables traceability. A secure hash function (SHA-256) creates a unique hash code for image verification, further strengthening authentication capabilities.
Experiments were conducted on standard image datasets under various attack conditions, including JPEG compression, cropping, noise addition, and rotation. The performance was evaluated using metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Bit Error Rate (BER). The proposed scheme demonstrated high imperceptibility, robustness against attacks, and accurate tamper localization.
The dual integration of cryptography and watermarking addresses the limitations of standalone methods by combining confidentiality with traceable authenticity. This method offers a scalable and secure framework suitable for real-time applications in healthcare, e-governance, digital forensics, and remote sensing. Future work includes incorporating machine learning for adaptive watermark positioning and blockchain for decentralized verification.
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