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@article{161293,
        author = {Komal Pratap Ghorpade and Ganapati A Patil},
        title = {Review on encryption of images onto cloud},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {3},
        pages = {204-208},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161293},
        abstract = {Multimedia data, such as photographs, are becoming increasingly significant in medical, education, advertising, entertainment, and other media industries due to the expeditious development of imaging sensors and mobile electronic devices. Outsourcing images to the public cloud can bring up worries about privacy. To make image searches work well in real-life situations, we must find ways to make the search faster and more efficient. To solve these issues, there is a need to create a system that can update index keys in real-time, handle multiple owners and offer verification support. Our solution is to provide an encrypted image retrieval-based system. This system will not only let users easily and accurately find similar images, but it will also keep the image owner's and user's privacy safe from the cloud server.},
        keywords = {Fuzzy logic, Artificial Neural Network, Convolutional Neural Network, Fog Computing, Cardio-diabetic Diseases.},
        month = {},
        }