Title : Measuring Large Scale Network Using Secured Distributed Data Mining

Type of Material: Thesis
Title: Measuring Large Scale Network Using Secured Distributed Data Mining
Researcher: Srigowthem, S
Guide: Khanaa, V
Department: Department of Engineering and Technology(Computer Science and Engineering)
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2021
Language: English
Subject: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2021; D15CS517
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_454987
040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aSrigowthem, S|eResearcher
110__|aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446
245__|aMeasuring Large Scale Network Using Secured Distributed Data Mining
260__|aChennai|bBharath University, Chennai|c2021
300__|dDVD
502__|bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2021|oD15CS517
520__|aThe constant advancement of huge scope network registering is offering approach to all the more enormous scope network administrations, because of which security of huge scope network administrations, particularly information security insurance, turns out to be more basic. This exploration work investigates the essential highlights of information mining strategies in enormous scope network registering and getting the information. The situation with the improvement of huge scope network processing security, the information protection examination, security evaluating, information observing and different difficulties that the huge scope network registering security faces have been investigated. Large Scale Wireless Sensor Networks (LS-WSNs) are Wireless Sensor Networks (WSNs) made up of a remarkable number of sensors, with internal identification and power management, to be sent to large areas of interest. The arrangement of a very large number of integrated or comparable nerves is certainly a common practice
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aComputer Science
653__|aComputer Science Artificial Intelligence
653__|aEngineering and Technology
700__|aKhanaa, V|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/354782|yShodhganga
905__|afromsg

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