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245	0	0	_aBig data analytics in fog-enabled IoT networks : _btowards a privacy and security perspective / _cedited by Govind P. Gupta, Rakesh Tripathi, Brij B. Gupta and Kwok Tai Chui.
250			_aFirst edition.
260			_bCRC Press, _cCopyright© 2023.
300			_a216 p. : _bill. ;
505	0		_aDeep 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.
506			_aAccess restricted to subscribing institutions.
520			_a"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"--
650		0	_aInternet of things
650		0	_aCloud computing
650		0	_aBig data.
650		0	_aDeep learning (Machine learning)
650		0	_xSecurity measures.
650		0	_xSecurity measures.
700	1		_aGupta, Govind P.,
700	1		_aTripathi, Rakesh,
700	1		_aGupta, Brij B.,
700	1		_aChui, Kwok Tai,
700	1		_d1979- _eeditor.
700	1		_eeditor.
700	1		_d1982- _eeditor.
700	1		_eeditor.
856	4	0	_uhttps://ezproxy.lib.gla.ac.uk/login?url=https://www.taylorfrancis.com/books/9781003264545
856	4	0	_zConnect to resource
907			_a.b40336499
942			_2ddc _cBOOKS
999			_c45904 _d45904