ReMEMBeR: Ranking Metric Embedding-Based Multicontextual Behavior Profiling for Online Banking Fraud Detection

2021 ◽  
pp. 1-12
Author(s):  
Jipeng Cui ◽  
Chungang Yan ◽  
Cheng Wang
Keyword(s):  
Fraud Detection ◽  
Online Banking ◽  
Metric Embedding ◽  
Behavior Profiling

scholarly journals Enhanced Data Privacy Using Vertical Fragmentation and Data Anonymization Techniques

2021 ◽  
Author(s):  
R Sudha ◽  
G Pooja ◽  
V Revathy ◽  
S Dilip Kumar
Keyword(s):  
Private Information ◽  
Credit Card ◽  
Data Privacy ◽  
Detection System ◽  
Fraud Detection ◽  
Online Banking ◽  
Data Anonymization ◽  
Vertical Fragmentation ◽  
Server Systems ◽  
Privacy Models

The use of online net banking official sites has been rapidly increased now a days. In online transaction attackers need only little information to steal the private information of bank users and can do any kind of fraudulent activities. One of the major drawbacks of commercial losses in online banking is fraud detected by credit card fraud detection system, which has a significant impact on clients. Fraudulent transactions will be discovered after the transaction is completed in the existing novel privacy models. As a result, in this paper, three level server systems are implemented to partition the intermediate gateway with better security. User details, transaction details and account details are considered as sensitive attributes and stored in separate database. And also data suppression scheme to replace the string and numerical characters into special symbols to overcome the traditional cryptography schemes is implemented. The Quasi-Identifiers are hidden by using Anonymization algorithm so that the transactions can be done efficiently.

scholarly journals Multifactor Authentication over Credit Card Fraud Detection and Prevention

2020 ◽  
Vol 9 (9) ◽  
pp. 680-685
Keyword(s):  
Face Recognition ◽  
Credit Card ◽  
Fraud Detection ◽  
Online Banking ◽  
Scanning System ◽  
User Friendliness ◽  
Credit Card Fraud ◽  
Online Transactions ◽  
Multifactor Authentication ◽  
Online Methods

Online banking becomes most used method for banking transaction now days. Now the trend is turning towards digitization and so is the population going towards the same thing. People often go to the credit/debit card, Net Banking, etc. online methods. Confidentiality may be hacked during online transactions. To reduced, fraud online activities so, as to secure the data by a two-step authentication method. The primary step of authentication is to verifying OTP. Once the OTP is verified, face recognition will be done. The data is analyzed and the results for both the valid and invalid transactions are sent to the Bank. A new card scanning system has important factor such as most safety, user-friendliness, etc. The application's importance is to mitigate credit card fraud through Face device awareness. The customers get both most usable and highly secure online banking application.

Credit Card Fraud Detection Using K-Means and Fuzzy C-Means

2021 ◽  
pp. 216-240
Author(s):  
Arti Jain ◽  
Archana Purwar ◽  
Divakar Yadav
Keyword(s):  
Credit Card ◽  
Large Scale ◽  
Fraud Detection ◽  
Online Banking ◽  
Small Scale ◽  
Classification Rate ◽  
Credit Card Fraud ◽  
Fuzzy C Means ◽  
Fcm Clustering ◽  
F Measure

Machine learning (ML) proven to be an emerging technology from small-scale to large-scale industries. One of the important industries is banking, where ML is being adapted all over the world by employing online banking. The online banking is using ML techniques in detecting fraudulent transactions like credit card fraud detection, etc. Hence, in this chapter, a Credit card Fraud Detection (CFD) system is devised using Luhn's algorithm and k-means clustering. Moreover, CFD system is also developed using Fuzzy C-Means (FCM) clustering instead of k-means clustering. Performance of CFD using both clustering techniques is compared using precision, recall and f-measure. The FCM gives better results in comparison to k-means clustering. Further, other evaluation metrics such as fraud catching rate, false alarm rate, balanced classification rate, and Mathews correlation coefficient are also calculated to show how well the CFD system works in the presence of skewed data.

Customer Satisfaction on e-SERVQUAL in Islamic Online Banking Services

2017 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
NURHAZIRAH HASHIM ◽  
MOHAMMAD ZAIM MOHD SALLEH ◽  
NOR SARA NADIA MUHAMAD YUNUS ◽  
INTAN SYAFINAZ MAT SHAFIE
Keyword(s):  
Customer Satisfaction ◽  
Consumer Satisfaction ◽  
Pearson Correlation ◽  
Business Environment ◽  
Online Banking ◽  
Security And Privacy ◽  
Accurate Information ◽  
Online Services ◽  
Banking Services ◽  
Customer Information

The recent development in the ecommerce services has shown a variety of established companies participating in the web business environment including Islamic banks. Business with the mostexperience and success in using ecommerce are beginning to realize that the indicator of success or failure of the ecommerce environment was included in the online services. Nowadays, the trend ofa business is to serve the customer with best quality of services to enhance the consumer satisfaction and compete with the global competitors as online services enabled registered user to make productspurchase transaction only through website such as check and manage financial standing, transfer funds, bill payment, prepaid reload and so forth. However, in recent times, Islamic banking users faced problems with the online system such as cannot log in to the system, payment failure and  mostly security and privacy hindrance. Therefore, this study aimed to investigate the relationship between electronic service quality (e-SERVQUAL) and customer satisfaction towards IslamicOnline Banking Services users. Based on the sample size, only 76 respondents were selected to participate in this study by using a convenience sampling. Further, Pearson correlation and multipleregression were reported to analyze the mentioned relationship. The findings have shown that there is a positive relationship between e-SERVQUAL and customer satisfaction in using Islamic onlinebanking services. Based on the findings, Islamic online banking developer is recommended to improve more on their responsiveness in order to provide quick response to their customer’s requirements.  Moreover, they also should be more reliable in providing accurate information in performing the promised services. They must assure that all of their customers can quickly get responds and true feedback regarding their problems to ensure customer satisfy with service provided. Besides, the safety of the website and the protection of customer information alsoconsidered a vital action that should be concerned in order to increase the customers’ satisfaction.

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