Seshika implemented a fraud detection toolbox using Markov chain models (using real-time siddhi queries) [1]. API-M Analytics product uses Markov chain model to detect abnormal resource access patterns.
In WSO2 ML, we have implemented a clustering based anomaly detection algorithm [2]. [1] http://wso2.com/analytics/solutions/fraud-and-anomaly-detection-solution/ [2] https://docs.wso2.com/display/ML110/Generating+a+Model+Using+the+K+Means+Anomaly+Detection+Algorithm+with+Labeled+Data On Mon, Jun 27, 2016 at 5:45 PM, Tharindu Edirisinghe <[email protected]> wrote: > +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 >> > Once you have a built model, you could write a siddhi extension to perform predictions (i.e. detect frauds in this case). Question: do we have data in hand? or are you trying to build a model on the fly? 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 > -- Thanks & regards, Nirmal Team Lead - WSO2 Machine Learner Associate Technical Lead - Data Technologies Team, WSO2 Inc. Mobile: +94715779733 Blog: http://nirmalfdo.blogspot.com/
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