An Application of Clickstream Analysis for Sybil detection using Hadoop Technology
- Vikas A Bhalshinge
- Aoudumber D Londhe
- Radhika V Bhosale
- Dhanashri T Gaikwad
- Chaitanya D Patil
Map Reduce, HDFS, clickstream, Web log analytics, Sybils.
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.
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 ISSN:2321-9939, Vol.3, Issue 1, pp.126-130, URL :https://rjwave.org/ijedr/papers/IJEDR1501027.pdf
Volume 3 Issue 1
Pages. 126-130
