SECURE DICOM IMAGE COMMUNICATION: ADVANCES AND CHALLENGES

Saurabh Verma; Mukta Bhatele; Akhilesh A. Waoo

doi:10.29121/shodhkosh.v5.i1.2024.1879

Authors

Saurabh Verma AKS, University, Satna, MP, India-485001
Dr. Mukta Bhatele AKS, University, Satna, MP, India-485001
Dr. Akhilesh A. Waoo AKS, University, Satna, MP, India-485001

DOI:

https://doi.org/10.29121/shodhkosh.v5.i1.2024.1879

Keywords:

Digital Watermarking, DICOM Image Communication, Deep Learning Attacks, Privacy-Preserving Methods, Real-Time Processing, Scalable Data Management, Artificial Intelligence Integration

Abstract [English]

The envisioned system addresses the multifaceted challenges in DICOM image communication by implementing sophisticated digital watermarking algorithms that are resilient against advanced deep learning attacks, ensuring data integrity and bolstering security in healthcare imaging systems. By harmonizing the balance between data protection and patient privacy within legal frameworks, and using privacy-preserving methods, the system adheres to compliance regulations while maintaining patient confidentiality. It also introduces efficient real-time processing algorithms that minimize delays in diagnostic workflows, alongside scalable data management solutions to handle the burgeoning volume of medical data without compromising performance. Further, the system integrates seamlessly with AI algorithms to enhance diagnostic accuracy and efficiency, fostering a synergistic relationship that amplifies the benefits of both digital watermarking and artificial intelligence in medical imaging. This comprehensive approach not only enhances security, privacy, efficiency, scalability, and compatibility but also propels advancements in diagnostic capabilities, significantly improving the effectiveness of healthcare imaging systems.

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