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Paper Details
Paper Title
An Application of Clickstream Analysis for Sybil detection using Hadoop Technology
Authors
  Vikas A Bhalshinge,  Aoudumber D Londhe,  Radhika V Bhosale,  Dhanashri T Gaikwad,  Chaitanya D Patil
Abstract
In our daily life the use of online applications has become very frequent. Everyday large numbers of transactions take place using these applications. E-commerce has made all the money transactions simple, easy and time saving for the people. One of the major aspects in E-commerce is providing security for the important personal information entered by the users while doing money transactions and managing the large amount of data in databases. Studies show that the techniques and databases used are not efficient. The combination of clickstream analysis and map-reduce (Module of Hadoop) improves the performance. This helps in identifying the normal and fraud user behaviour and also the management of large amount of user data.
Keywords- Map Reduce, HDFS, clickstream, Web log analytics, Sybils.
Publication Details
Unique Identification Number - IJEDR1501027Page Number(s) - 126-130Pubished in - Volume 3 | Issue 1 | Jan 2015DOI (Digital Object Identifier) -    --Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Vikas A Bhalshinge,  Aoudumber D Londhe,  Radhika V Bhosale,  Dhanashri T Gaikwad,  Chaitanya D Patil,   " An Application of Clickstream Analysis for Sybil detection using Hadoop Technology ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 1, pp.126-130, Jan 2015, Available at :http://www.ijedr.org/papers/IJEDR1501027.pdf
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