UID:
almahu_9949501428702882
Format:
1 online resource (xv, 216 pages) :
,
illustrations
Edition:
First edition.
ISBN:
9781003264545
,
1003264549
,
9781000861846
,
1000861848
,
9781000861860
,
1000861864
Content:
"Integration of Fog computing with the resource limited IoT network, formulate the concept of Fog-enabled IoT system. Due to large number of deployments of IoT devices, a IoT is a main source of Big data and a very high volume of sensing data is generated by IoT system such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT system is a very fundamental research issue. This book focus on Big data Analytics in Fog-enabled-IoT system and provides a comprehensive collection of chapters that are touches different issues related to Healthcare system, Cyber threat detection, Malware detection, security and privacy of big IoT data and IoT network. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system"--
Note:
Deep learning techniques in big data enabled Internet-of-Things devices / Sourav Singh, Sachin Sharma, Shuchi Bhadula -- IoMT based smart health monitoring : the future of healthcare / Indrashis Mitra, Yashi Srivastava, Kananbala Ray, Tejaswini Kar -- A review on intrusion detection system and cyber threat intelligence for secure IoT-enabled network : challenges and directions / Prabhat Kumar, Govind P. Gupta and Rakesh Tripathi -- Self-adaptive application monitoring for decentralized edge frameworks / Monika Saxena, Kirti Pandey, Vaibhav Vyas, C.K. Jha -- Federated learning and its application in malware detection / Sakshi Bhagwat, Govind P. Gupta -- An ensemble XGBoost approach for the detection of cyberattacks in the industrial IoT domain / R.K. Pareriya, Priyanka Verma, Pathan Suhana -- A review on IoT for the application of energy, environment, and waste management : system architecture and future direction / C. Rakesh, T. Vivek, K. Balaji -- Analysis of feature selection methods for Android malware detection using machine learning techniques / Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar -- An efficient optimizing energy consumption using modified bee colony optimization in fog and IoT networks / Potu Narayana, Chandrashekar Jatoth, Premchand Paravataneni, G Rekha.
Additional Edition:
Print version: Big data analytics in fog-enabled IoT networks Boca Raton : CRC Press, 2023 ISBN 9781032206448
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781003264545
URL:
https://www.taylorfrancis.com/books/9781003264545
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