April 2026
Intermediate
384 pages
9h 17m
English
book
Strategic Approaches to Intrusion Detection in Cloud-IoT Ecosystem
by Partha Ghosh, Rajdeep Chakraborty, Anupam Ghosh, Ahmed A. Elngar
Content preview from Strategic Approaches to Intrusion Detection in Cloud-IoT Ecosystem
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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(s): 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 seeks volumes that are empirical studies, theoretical and numerical analysis, and novel research findings. The series encourages cross-fertilization of highlighting research and knowledge of Data Analytics, Machine Learning, Data Science, and IoT sustainable developments.
Publishers at Scrivener Martin Scrivener (martin@scrivenerpublishing.com) Phillip Carmical (pcarmical@scrivenerpublishing.com)
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