Title : Machine learning based accessible anti phishing model with heterogeneous features and multifarious filters

Type of Material: Thesis
Title: Machine learning based accessible anti phishing model with heterogeneous features and multifarious filters
Researcher: Gunikhan, Sonowal
Guide: Kuppusamy, K.S.
Department: Department of Computer Science
Publisher: Pondicherry University, Puducherry
Place: Pondicherry
Year: 2019
Language: English
Subject: Engineering and Technology
Computer Science
Phishing
Anti-phishing models
SmiDCA
Binary Search Feature Selection
Computer Science and Applications
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science, Pondicherry University, Puducherry, Pondicherry; 2019
Fulltext: Shodhganga

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040__|dIN-AhILN|aPNDI_605104
041__|aeng
100__|eResearcher|aGunikhan, Sonowal
110__|aDepartment of Computer Science|ein|dPondicherry|bPondicherry University, Puducherry
245__|aMachine learning based accessible anti phishing model with heterogeneous features and multifarious filters
260__|c2019|aPondicherry|bPondicherry University, Puducherry
300__|dDVD|axxiii, 138 p.
502__|cDepartment of Computer Science, Pondicherry University, Puducherry, Pondicherry|d2019|bPhD
650__|aComputer Science and Applications|2UGC
650__|aEngineering and Technology|2AIU
653__|aEngineering and Technology
653__|aComputer Science
653__|aPhishing
653__|aAnti-phishing models
653__|aSmiDCA
653__|aBinary Search Feature Selection
700__|aKuppusamy, K.S.|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/374896|yShodhganga
905__|afromsg

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