Recent decades have seen a gigantic expansion in the use of credit cards as a true transactional medium. Data mining is rising as one of the chief features of many homeland security\ initiatives. Often, it is used as a means for detecting fraud, assessing risk, as well as product retailing. Data mining is becoming increasingly common in both the private as well as public sectors. Data mining in...

Along with the great increase of internet and e-commerce, the use of credit card is an unavoidable one. Due to the increase of credit card usage, the frauds associated with this have also increased. There are a lot of approaches used to detect the frauds. In this paper, behavior based classification approach using Support Vector Machines are employed and efficient feature extraction method also...

Online P2P lending marketplaces match individual lenders and borrowers for unsecured loans via real-time auction without financial institutions as an intermediary. This paper aims to build up a theoretical framework from the perspectives of informational social influence and herding behavior to explain how individual investors’ participation of online financial community influence their credit ...

Credit card fraud detection has been one of the major necessities of the current e-commerce based world. The ease of use provided by e-commerce transactions is hindered by the threat caused by fraudsters. Several models have been proposed for identifying fraudulent transaction in a credit card system. However, the threats still do tend to exist. This paper discusses and analyzes the major reaso...

With the recent significant growth in the single-name credit default swap market has come the need for accurate and computationally efficient models to value these instruments. While the model developed by Duffie-Pan-Singleton (2000) model can be used, the solution is numerical (solving a series of ordinary differential equations) rather than explicit. In this paper, we provide an explicit solu...

this paper proposes a HMM (Hidden Markov Model) based fraud detection system for credit card fraud detection. The method works on the statistical behavior of user’s transactions. Since the original transactions are not available due to privacy policies of bank we used here synthetically generated data for a credit card user, and then HMM model is trained using different size of sample of genera...

Due to a rapid advancement in the electronic commerce technology. Credit card becomes the most popular mode of payment for both online as well as regular purchase. Cases of fraud associated with it are also rising. In this paper I am introducing the concept of three level of security, the first level is the static User name or password, and in the second level it uses Hidden Markov Model (HMM) ...

In this paper we present an attack which allows fraudulent transactions to be collected from EMV contactless credit and debit cards without the knowledge of the cardholder. The attack exploits a previously unreported vulnerability in EMV protocol, which allows EMV contactless cards to approve unlimited value transactions without the cardholder's PIN when the transaction is carried out in a fore...

Credit networks model transitive trust (or credit) between users in a distributed environment and have recently seen a rapid increase of popularity due to their flexible design and robustness against intrusion. They serve today as a backbone of real-world IOweYou transaction settlement networks such as Ripple and Stellar, which are deployed by various banks worldwide, as well as several other s...