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  2. Volume 7, Issue 3
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Online ISSN: 2515-8260

Volume7, Issue3

Detecting Fraud in Transactions Using Diversity in Behavior

    Y. Dasaratha Rami Reddy T. Poovizhi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 2164-2170

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Abstract

Transaction fraud is predominant nowadays as many people prefer shopping through online. This made the research on detecting fraud to become an important part of research at present times. Based on records of transaction of several users, Bp (Behavioral Profile) is extracted and then verification takes place in order to find the frauds occurring. Usage of Markov models does not give relevant results, thus making unsuitable to use in such scenarios. Attributes from several transaction records are classified in the proposed system to represent a graph like structure. The probability of path from one attribute to another is calculated along with computation of diversity of several different users behaviors in transaction. For every user a Bp is constructed and is verified whether the transaction is allowed incoming or not to detect the fraud. The experimental results show the efficacy of the system.
Keywords:
    Behavior Profile Markov model online shopping Transaction
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(2020). Detecting Fraud in Transactions Using Diversity in Behavior. European Journal of Molecular & Clinical Medicine, 7(3), 2164-2170.
Y. Dasaratha Rami Reddy; T. Poovizhi. "Detecting Fraud in Transactions Using Diversity in Behavior". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 2164-2170.
(2020). 'Detecting Fraud in Transactions Using Diversity in Behavior', European Journal of Molecular & Clinical Medicine, 7(3), pp. 2164-2170.
Detecting Fraud in Transactions Using Diversity in Behavior. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 2164-2170.
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