Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

       Advances in Learning Analytics for Intelligent Cloud-IoT Systems

       Series Editor: Dr. Souvik Pal and Dr. Dac-Nhuong Le

      The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of cloud-IoT systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision-making algorithms in IoT devices. IoT-based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of analytics reasoning and sense-making in big data, which is centered in the cloud and IoT-enabled environments. The series publishes volumes that are empirical studies, theoretical and numerical analysis, and novel research findings.

       Submission to the series:

      Please send proposals to Dr. Souvik Pal, Department of Computer Science and Engineering, Global Institute of Management and Technology, Krishna Nagar, West Bengal, India.

      E-mail: [email protected]

       Publishers at Scrivener

      Martin Scrivener ([email protected])

      Phillip Carmical ([email protected])

      Machine Learning Techniques and Analytics for Cloud Security

      Edited by

       Rajdeep Chakraborty

       Anupam Ghosh

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