The mainstream computing technology is not efficient in managing massive data and
detecting network traffic intrusions, often including big data. The intrusions present in …

With the fast development of Internet-of-Things (IoT) technologies, IoT big data and its
applications are getting more and more useful. However, traditional IoT data management is …

With the rapid growth of data sources, Big data security in Cloud is a big challenge. Different
issues have ascended in the area of Big data security such as infrastructure security, data …

Cloud computing is one of the rapidly growing technologies in computing. It includes many
benefits such as improved reliability, enormous scalability, decreased costs, portability …

This paper aims at the requirement for an interactive learning framework which empowers
the successful checking of disorder in a patient. Principal component analysis stands out as …

In order to address the problems of the single encryption algorithm, such as low encryption
efficiency and unreliable metadata for static data storage of big data platforms in the cloud …

There are a plethora of invented classifiers in Machine learning literature, however, there is
no optimal classifier in terms of accuracy and time taken to build the trained model …

Modern (industrial) domains are based on large digital ecosystems where huge amounts of
data and information need to be collected, shared, and analyzed by multiple actors working …

In today's IT industry, cloud computing, and the broader cloud services sector have gained
widespread acceptance. To put it simply, cloud services provide cloud computing, which …

Big data is turning out to be well-liked and enviable amongst numerous users for storing,
analyzing, and handling larger quantities of data. Nevertheless, clustering these larger data …