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Hidden Markov Model based Framework for User’s Uniqueness in Pervasive Computing

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Shivnandan Mandre, Anil Suryavanshi

Shivnandan Mandre and Anil Suryavanshi. Hidden Markov Model based Framework for User’s Uniqueness in Pervasive Computing. International Journal of Computer Applications 156(14):28-34, December 2016. BibTeX

	author = {Shivnandan Mandre and Anil Suryavanshi},
	title = {Hidden Markov Model based Framework for User’s Uniqueness in Pervasive Computing},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {14},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {28-34},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2016912555},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Pervasive computing technology endeavors to make simpler day-to-day life by providing mobile users with the means to make available out individual and business services by means of convenient and embedded devices. These technologies assure to increase yield through faultless communications and allow anytime, anywhere access to applications and services and the structures of smart homes and surroundings. Here in this paper Hidden Markov Model based Generation of User’s Identity is proposed in Pervasive computing which provides efficient security from various attacks in Pervasive Computing and also provides efficient computational time and computational overhead.


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Pervasive Computing, Hidden Markov Model, Hash Function, User’s Identity