@article{MAKHILLJEAS202015819257,
    title = {Master of Computer Science, Al-Imam Al-Kadhum College for Islamic Science, Baghdad, Iraq},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {8},
    pages = {2002-2008},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.2002.2008},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.2002.2008},
    author = {Ali},
    keywords = {Cloud computing,image processing,multimedia object protection,Amazon RDS,AWS},
    abstract = {Multimedia content is commercially provides
over public cloud. Content providers found cloud as a
platform for rendering their services. However, they are
losing their revenues due to pirated copies made by
adversaries. In order to protect multimedia content over
public cloud, it is important to have a mechanism for
detecting duplicate objects. In this study a framework is
proposed for multimedia image object protection in public
cloud. The framework has provision for two procedures.
The first procedure is reference registration of images into
public cloud while the second one is to have a query
object and perform matching for detection of pirated
objects to trigger protection mechanism. We proposed an
algorithm named Cloud Image Object Protection (CIOP)
to realize the proposed framework. We collected image
dataset known as Caltech 101 for experiments. Amazon
AWS is used as public cloud while Amazon RDS is used
for object storage. We built a prototype application to
demonstrate proof of the concept. The experimental
results reveal that the proposed system is capable of
protecting multimedia image objects outsourced to public
cloud. The results also show the execution time for
loading images, signature generation and signature
matching.}
    }