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@article{170699,
        author = {Kuchukulla Susmitha and Kummari Himavamsi and Katakam Saikumar and Mr.B  Samirana Acharya},
        title = {SecureMed Cloud: Verified Medical Imaging Solutions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {321-324},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170699},
        abstract = {Compressed Sensing Reconstruction (CSR) uses the natural sparseness of signals to take fewer measurements, allowing the original signal to be perfectly reconstructed with the help of special algorithms. This method is popular in large-scale image processing because it helps save storage space. However, the process of reconstructing the image is complex and can be difficult for devices with limited resources. To solve this problem, cloud-assisted CSR has become an important area of research we review current secure CSR methods in cloud computing and propose a new algorithm that enhances privacy and verification specifically for online medical image processing. Our approach has several improvements over existing solutions: It protects the privacy of both the original images and the input/output data during reconstruction, even if the data is attacked. It works even when the cloud server might be malicious and can verify the accuracy of the cloud’s results with a high degree of confidence. It significantly reduces the computational load for local clients.},
        keywords = {},
        month = {December},
        }