+DamithN, Seshika, Nirmal
@DamithN - I found the mail thread [1] bit similar. Are there any other reference to the work you've done for that ? @Seshika, Nirmal - Do you guys have any input for the work Asantha is trying to do ? He is a GSoC student that I mentor this year. Appreciate if you can help him out with this. [1] "[Architecture] Security Authentication Analytics" Thanks, TharinduE On Mon, Jun 27, 2016 at 4:15 PM, Asantha Thilina <[email protected]> wrote: > Hi all, > > i am a GSOC student who doing the *project 21 : NoSQL User Store > Development for Identity Server* and i am developing a *convolutional > neural network* to detect *frauds* using deeplearning4j[1] for my > research, i have done some case studies regarding fraud patterns ,i have > mainly focused on frauds that can be occur in online money transactions and > in login authentications i have refer some research papers[2],[3] and a > white paper[4] regrading those possible fraud patterns > I choosed convolutional neural network to develop my model but i am little > confused about how could include those fraud patterns in to my model in a > way it can detect a fraud in real time and also is convolutional network is > a best way to achieve my task or is there any better method than this?,i > would be grateful if anyone can guide me to achieve this task > [1]http://deeplearning4j.org/convolutionalnets > [2]http://www.ijsce.org/attachments/File/NCAI2011/IJSCE_NCAI2011_025.pdf > [3] > https://www.researchgate.net/publication/200795976_Fraud_Detection_using_Neural_Networks > [4]https://neo4j.com/resources/fraud-detection-white-paper/ > > Thanks, > Asantha > -- Tharindu Edirisinghe Senior Software Engineer | WSO2 Inc Platform Security Team Blog : tharindue.blogspot.com mobile : +94 775181586
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