Online Banking System Research Articles

A Hybrid Machine Learning Approach for Credit Card Fraud Detection

The online banking system is the new trend in the developing digital world. The transferring of a large amount of currency in a millisecond is leading to fast accessing of the banking system as it saves more time at the online payment and digital shopping. The increase in rate of use of banking credit and debit card leads to a large amount of fraud in the field of finance. Machine learning has the new discovering faces in the field of the finance. So, this research work proposed a hybrid model using the logistic regression, multilayer perceptron, and the XgBoost. The study involves both the balance and imbalance dataset to conclude the result based on the accuracy precision and recall. The results show that accuracy of the model is 100%, and precision, recall, and F1-scores are 95.63%, 99.99%, and 97.76% respectively.

Factors influencing the adoption of internet banking: An integration of ISSM and UTAUT with price value and perceived risk

The investigation of users' satisfactions and intentions in using the services provided by commercial banks needs to be focused on internet banking, since this is the widely used banking service. This paper analyzed the satisfactions and behavioral intentions of Malaysian customers in using Internet Banking, applying the Information System Success Model (ISSM) by the integration of adoption and application technology (UTAUT) theory. Some criteria, which were taken into consideration, are as follows: perceived Risk (PR), facilitating Conditions (FC), Price (PV), Performance expectancy (PE), Information Quality (IQ), Service Quality (SEQ), and System Quality (SQ). These aspects are important to measure customers' satisfaction and behavior toward Internet and Online Banking. A sample of 362 valid responses, consisting of Malaysian customers who used E-Banking, was used for the purpose of data collection. The relationship between customers' satisfaction and factors influencing their contentment in using Online Banking was investigated. In order to evaluate this, a model called “Structural Equation Model (SEM)” was developed and used. Findings showed that most of the Online Banking users were satisfied with the system. Hence, it proves that Online Banking System was generally accepted in the Malaysian community. However, this current research is solely focused on the Malaysian community. Therefore, it may provide the necessary grounds for the study of internet banking accreditation, some useful information for the practitioners, policy makers, and the researchers to improve the system of online banking in Malaysia only. For a future study, a more well-structured research, which can accommodate the global need, would be required.

A Study on Customers’ Satisfaction with E-Banking Services with Special Reference to the Madurai District Central Cooperative Bank LTD

The banker you want to supplement should rely more on efficient services and coordinate relationships with clients. The only factor that differentiates the service of one bank from the other is “customer satisfaction” related to the services provided by the bank. This is the most important factor that influences the choice of the bank. The success of banks basically depends on customer satisfaction in relation to new technological services provided by banks. The banking industry is driven mainly by customers, and their survival in a competitive environment depends largely on new technological services provided by them. Technology plays a fundamental role in improving the quality of services provided by banking sectors. One of the technologies that really brought information to the revolution in society is internet technology and, for good reason, is considered the third wave of resolution after the agricultural and industrial revolution. The emergence and adoption of the Internet by the banking sector has eliminated the limitation of time, distance and communication, making the world a real village. Internet banking from anywhere, at any time and used for transactions, payments, etc. On the Internet via a bank, cash register or secure company website. Therefore, basically in online banking, the customer has a one-to-one interaction with the bank’s parties, in which case it is important for the bank to provide high quality services on the Internet. Therefore, unlike the traditional banking sector, online banking involves interpersonal interaction between clients and the online banking system.

A Banking Platform to Leverage Data Driven Marketing with Machine Learning.

Payment data is one of the most valuable assets that retail banks can leverage as the major competitive advantage with respect to new entrants such as Fintech companies or giant internet companies. In marketing, the value behind data relates to the power of encoding customer preferences: the better you know your customer, the better your marketing strategy. In this paper, we present a B2B2C lead generation application based on payment transaction data within the online banking system. In this approach, the bank is an intermediary between its private customers and merchants. The bank uses its competence in Machine Learning driven marketing to build a lead generation application that helps merchants run data driven campaigns through the banking channels to reach retail customers. The bank’s retail customers trade the utility hidden in its payment transaction data for special offers and discounts offered by merchants. During the entire process banks protects the privacy of the retail customer.

Critical Evaluation of Customer Satisfaction in Relation to Online Banking Systems

Customer satisfaction has a significant positive impact on the service of an organisation. The management team of any organisation is engaged to modify their existing strategies as well as adopt new schemes in order to meet the needs of the customers. It is identified that people nowadays are more prone to use e-banking rather than traditional banking. E-banking is so convenient to use and it is time-saving compared to traditional banking. Moreover, the banks can get the advantages of integrated banking services by which they can get more customers and grow their organisation by achieving competitive advantages. The main purpose of the study is to find out the relationship between customers on online banking systems and the impact of customer satisfaction in this system. In order to evaluate the result, secondary data are collected from various authentic sources such as peer-reviewed scientific journals, articles and newspapers. Descriptive research is a significant method of research methodology and it has been incorporated into the study because the study is to understand the perspectives of customers on online banking systems. In order to analyse the result, the secondary qualitative data are collected from only valid and updated sources. As per the secondary data analysis, online banking service has provided several abilities to consumers that helped to enhance satisfaction.

Secure and Light Weight Elliptic Curve Cipher Suites in SSL/TLS

In the current circumstance, e-commerce through an online banking system plays a significant role. Customers may either buy goods from E-Commerce websites or use online banking to move money to other accounts. When a user participates in these types of behaviors, their sensitive information is sent to an untrustworthy network. As a consequence, when transmitting data from an internal browser to an external E-commerce web server using the cryptographic protocol SSL/TLS, the E-commerce web server ensures the security of the user’s data. The user should be pleased with the confidentiality, authentication, and authenticity properties of the SSL/TLS on both the user’s web browser and the remote E-commerce web server. E-Commerce web servers should choose the best SSL/TLS cipher suites for negotiating the user in order to attain such optimistic scenarios, as the cipher suite used in SSL/TLS plays an important role in securing E-Commerce web servers. The paper primarily focuses on analyzing the SSL/TLS cipher and elliptic curves. The paper also recommends the best elliptic curve cipher suites for E-Commerce and online banking servers, based on their power consumption, handshake execution time, and key exchange and signature verification time.

Stock price synchronicity and stock liquidity in an emerging market

This study examines whether the stock price synchronicity (SYNCH) can influence the stock liquidity in an emerging market. The paper also assesses the impact of demonetisation on stock liquidity. This paper applies the fixed effect and random effect panel data methods to estimate the regression model. Further, the article uses the two-step dynamic panel data technique to address the possible endogeneity problem. The paper finds that the stock price synchronicity has a positive and significant association with stock liquidity. It is noticed that the higher the SYNCH, the more is the stock liquidity by using two measures of liquidity. It is also found that stock liquidity is significantly increased post demonetisation. This study attributes this phenomenon to the well-developed online banking system in India. The paper suggests that the regulators should ensure that more firm-specific information is reflected in the stock prices.

Will Online Banking Sustain in Bhutan Post Covid-19? A Quantitative Analysis of The Customer E-Satisfaction and E-Loyalty in The Kingdom of Bhutan

Online Banking has received a boost during Covid 19. It is believed that the cultured sector of the population has quickly adopted online banking since the outbreak of the virus. Online banking not only provides a platform for performing financial transactions but also acts as a medium of communication between the bank and the customer. Unlike rest of the world, perception of online banking came slightly late in the Kingdom of Bhutan, which already had a good network of banking access points for its populace, enabling the physical banking. However, due to lockdown observed in the aftermath of Covid-19, the online banking has established development in the country. In the present study, the researchers have confidence in that if the customer satisfaction can be ensured amongst the existing users of the online banking, then they will become dependable to such platform and would continue even in the post Covid-19 time. This study is imperative as the banking system of Bhutan has spent a significant number of resources in obtaining and implementing the online banking system, and sustainability of the system will be a point of concern for the decision makers.

MODEL PEMASARAN KEWIRAUSAHAAN MELALUI DIGITAL MARKETING SEBAGAI PEMODERASI UNTUK MENINGKATKAN KINERJA PENJUALAN UMKM KOTA SEMARANG

The emergence of the corona virus in 2020 has devastated the economy in Indonesia, making the strength of MSMEs re-examined. The decline in turnover in the non-culinary sector reached 30-35% due to restrictions on activities that made it difficult for business actors to make face-to-face sales. Therefore, SMEs must be able to master digital marketing. Utilizing the marketing concept through the use of digital technology, it is hoped that MSMEs will be able to develop and become the center of economic power. The current era of technology is indeed unavoidable, through digital marketing it is possible for MSME actors to market their products online, offer and make online banking system payment transactions. This study aims to analyze the entrepreneurial marketing model through digital marketing as a moderating variable in improving sales performance. in MSMEs in Semarang City. The population in this study were MSME actors who were registered at the Cooperatives and MSMEs Service in the city of Semarang. The sampling technique used by the author in conducting this research is using simple random sampling, namely taking samples from the population randomly, using the Slovin formula, obtained 98 samples. The method of data analysis was carried out by testing instrument validity and reliability, testing classical assumptions, testing hypotheses and testing moderating variables using MRA (Moderated Regression Analysis). The results showed a positive and significant influence on entrepreneurial marketing in increasing the sales volume of MSMEs in Semarang City, but the effect of digital marketing as a moderating on sales volume in the first output had a significant effect and the interaction effect on the second output had no significant effect, meaning digital marketing as a moderating variable in the relationship between the method of marketing performance is a predictor moderator.
 
 Keywords: Entrepreneurship Marketing, Digital marketing, Sales volume, MSMEs.

Personal Identity Identification and Authentication Statistics Based on Countermeasures against Spoofing

To make the online banking system secure, a three-step authentication method using the face, iris, and fingerprint is used. To improve security, spoofing detection has also been included. A spoofing attack happens when someone attempts to impersonate someone else and gets unauthorized access. The face and iris are captured by the camera, while the fingerprint is captured by the fingerprint module. Gray Level Co-occurrence Matrix is used to extract a picture of a person's face, iris, and fingerprint (GLCM). A reference module is constructed using the extracted picture so that the input may be compared to it, and if the input matches the module, a one-time password (OTP) is delivered to the user's mobile phone. Only the online transaction may take place if the OTP is entered correctly. Otherwise, the account holder will get an alert message. This method allows for a very secure online transaction.

A Case Study on Kurdistan's Electronic Banks: Key Challenges Facing Consumers

With advances in technology, financial institutions and their users needed to turn to the modern style of banking which is called e-banking. It provides numerous profits for both organizations and individual customers in terms of the comfort, ease, and cost of transactions. The main purpose of this study is to investigate and identify key challenges facing consumers to utilize e-banking services. To accomplish the purpose and problem of the study, the researchers conducted a quantitative approach via an online survey among 62 respondents in Kurdistan Region Government (KRG) and the sampling was chosen randomly. The descriptive research approach has been used and the methodology of the study depends on both primary and secondary data. SPSS software and Microsoft Excel have been used to evaluate the collected data. The main results indicated that privacy and security issues have the most significant challenge that affects consumers while using e-banking services, about 21%, whereas knowledge issues have the least effect on them, about 3.2%. Moreover, the COVID-19 outbreak has hurt the e-banking system both in the Kurdistan Region and around the world since Chinese authorities first announced it in late 2019. If there was an effective online banking system in KRG, employees would have received their salaries without having any infections from others.

An efficient image encryption scheme based on double affine substitution box and chaotic system

Privacy of information is one of the most important and unavoidable issues in our digitally advance era. A huge amount of information transmitted over different servers and networking protocols. The sphere of digitally advanced world is tied with information in different forms of facilitations, which includes online banking systems, ecommerce and many more. Providing the ease of access, anything online makes our confidential information open to different threats. Therefore, to enjoy ease of access and at the same time secure our digital information from theft, we need a robust information security system. In this article, we have designed a novel and an efficient security system, which provides secrecy to our digital information. The designed encryption scheme is fundamentally a combination of chaos and nonlinear confusion components. We have developed a new mechanism of adding confusion, namely S8 permutation of double affine transformation to construct 40320 new substitution boxes (S-boxes) having nonlinearity 112 from a single S-box. Moreover, nonlinear Lorenz dynamical system is utilized to select any three S-boxes from 40320 newly generated nonlinear components. To add diffusion in our proposed algorithm, we have utilized Chirikov discrete iterative map. The excellence of an offered digital image encryption has been examined and evaluated with standard benchmarks. The simulation results reveal that the quality of the image encryption passes all these tests and is comparable to current benchmarks.

Machine Learning-Based Intrusion Detection for Achieving Cybersecurity in Smart Grids Using IEC 61850 GOOSE Messages

Increased connectivity is required to implement novel coordination and control schemes. IEC 61850-based communication solutions have become popular due to many reasons—object-oriented modeling capability, interoperable connectivity and strong communication protocols, to name a few. However, communication infrastructure is not well-equipped with cybersecurity mechanisms for secure operation. Unlike online banking systems that have been running such security systems for decades, smart grid cybersecurity is an emerging field. To achieve security at all levels, operational technology-based security is also needed. To address this need, this paper develops an intrusion detection system for smart grids utilizing IEC 61850’s Generic Object-Oriented Substation Event (GOOSE) messages. The system is developed with machine learning and is able to monitor the communication traffic of a given power system and distinguish normal events from abnormal ones, i.e., attacks. The designed system is implemented and tested with a realistic IEC 61850 GOOSE message dataset under symmetric and asymmetric fault conditions in the power system. The results show that the proposed system can successfully distinguish normal power system events from cyberattacks with high accuracy. This ensures that smart grids have intrusion detection in addition to cybersecurity features attached to exchanged messages.

Assessing The Impact of Factors Affecting the Adoption of Online Banking Services Among University Students

With the advancement of information technology in India, banks are adopting online systems in providing its services to its account holders. This study has been done to explore the key factors which affect the acceptance of online banking services amongst the young generation specifically the students in the age group of 20 to 30 years studying in Central University situated in Uttar Pradesh state of India. This study has been carried out in the light of technology acceptance model (TAM) along with security & privacy and quality of internet connection. The sample size of 318 was collected using multi-stage sampling procedure through survey method. Regression analysis was employed to study the impact of the factors, using SPSS 26.0. Results revealed that the factors like PU, PEOU, SP and QIC were significant and support the previous studies. PU has more effect in the acceptance of online banking system among the students in India.

WITHDRAWN: Research on Encrypting Accounting Data Using Des Algorithm under the Background of Microprocessor System

E-banking data through Internet banking and e-banking is known for its various authorities to get to the source. The essence of the banking sector is the management of current accounts. Data discovery is a significant change in the atmosphere of working in the banking sector purchased. The bank's actualized innovation strategy is data security on Automated Teller Machines (ATMs)-ATMs, online banking, telephone banking, mobile banking, etc. Security is an important concern of all online banking systems. The last ten years have seen a tumultuous development of data discovery, which has led to significant encryption advances to ensure reliability and data classification worldwide. The most influential secure information or business is the currency industry on the Internet and online business in need of security during any transaction. Cryptography is the center of the mystery. A common-sense method of encoding data complete mystery. DES (Data Encryption Standard) - symmetric key encryption Triple-DES and its variants have emerged in economic and other structures and are considered an important component in ensuring that personal information about the security office in the past three decades part of the area. And the investigation of speculation in the implementation of DES in the future to ensure that information is properly are described. Symmetric key encryption options and other transactions are also considered legitimate.

Artificial Intelligence Based Intrusion Detection System for IEC 61850 Sampled Values Under Symmetric and Asymmetric Faults

Modern power systems require increased connectivity to implement novel coordination and control schemes. Wide-spread use of information technology in smartgrid domain is an outcome of this need. IEC 61850-based communication solutions have become popular due to a myriad of reasons. Object-oriented modeling capability, interoperable connectivity and strong communication protocols are to name a few. However, power system communication infrastructure is not well-equipped with cybersecurity mechanisms for safe operation. Unlike online banking systems that have been running such security systems for decades, smartgrid cybersecurity is an emerging field. A recent publication aimed at equipping IEC 61850-based communication with cybersecurity features, i.e. IEC 62351, only focuses on communication layer security. To achieve security at all levels, operational technology-based security is also needed. To address this need, this paper develops an intrusion detection system for smartgrids utilizing IEC 61850‘s Sampled Value (SV) messages. The system is developed with machine learning and is able to monitor communication traffic of a given power system and distinguish normal data measurements from falsely injected data, i.e. attacks. The designed system is implemented and tested with realistic IEC 61850 SV message dataset. Tests are performed on a Modified IEEE 14-bus system with renewable energy-based generators where different fault are applied. The results show that the proposed system can successfully distinguish normal power system events from cyberattacks with high accuracy. This ensures that smartgrids have intrusion detection in addition to cybersecurity features attached to exchanged messages.

The application of multi-server authentication scheme in internet banking transaction environments

Information and communication technology has altered businesses’ operations, with a host of established and new banks launching online banking products and services. Banks encourage their customers to use online banking facilities because these facilities reduce transaction costs, improve customer retention, increase the customer share of wallet, and enhance customer services. Many customers also prefer Internet banking channels because of their convenience and the freedom they offer. Although Internet banking offers substantial benefits and opportunities, it does involve security risks associated with sensitive transactions and accessing critical information over public networks. To secure Internet banking activities and maintain the trust and confidence of customers, numerous banks have adopted technical countermeasures, such as two-factor or multi-factor authentication, to prevent cyberattacks, online fraud, and unauthorized access to bank accounts. However, the use of two-factor authentication is inadequate for protecting customers’ accounts against takeover by cyber criminals. Multi-factor authentication services along with related security techniques lead to two considerable barriers: (1) the high cost of deployment and maintenance and (2) the complex integration between authentication processes and online banking systems. This paper presents an alternative model for the authentication of online banking customers and transactions through use of a hash-based multi-server authentication scheme in conjunction with a smart card. The proposed system provides strong security features and low maintenance costs for financial institutions’ Internet banking platforms. The proposed mechanism can be associated with a customized interface and thus easily integrated into existing banking systems for use in Internet banking applications.

Pemanfaatan Digital Marketing Pada Usaha Mikto Kecil dan Menengah (UMKM) di Kota Tangerang Selatan

Micro, Small and Medium Enterprises (UMKM) have an important role in the pace of Indonesia's economy, especially in job creation and household empowerment that supports household income. The existence of UMKM is expected to be able to spur the economy amid the current economic slowdown. Utilization of the concept of marketing based on digital technology (digital marketing) provides hope for UMKM to develop into a center of economic strength. The development of digital technology enables UMKM to market their products online and conduct transactions through the online banking system as well. This study aims to see whether the implementation of digital marketing can have an influence on the sales volume of UMKM industry results, as well as to find out whether the use of digital marketing has a large influence on the development of UMKM businesses in South Tangerang City. This research was conducted with a qualitative research method to look deeper into the influence of the use of digital marketing in the development of UMKM businesses in the eyes of UMKM managers in South Tangerang City. The results showed that the use of digital marketing can increase UMKM sales by 30-50 percent, and digital marketing is able to expand their market share and at the same time reduce the promotional costs they incur, as well as being able to shorten the distance of UMKM interaction with their consumers

Grey–Lotka–Volterra model for the competition and cooperation between third-party online payment systems and online banking in China

In China, online banking and third-party online payment systems have a special relationship in which cooperation and competition co-exist. Quantifying the degree of competition and collaboration between them and predicting their future development trends will help to achieve a win-win situation. This paper uses the Lotka–Volterra model to quantitatively analyse and predict the impact of commercial banks’ online payment systems on the development of third-party online payment systems. The predator is an online bank, and the prey is a third online payment system. In the modelling process, the continuous model is discretized by using the grey theory. To improve modelling accuracy, a background coefficient is introduced. The parameters of the model are estimated by the least-squares method, and the Grey–Lotka–Volterra model for fitting the relationship between third-party payment and bank competition and cooperation is obtained. This paper empirically analyses quarterly transaction volume data for online banking and third payment. The results show that before 2011, the relationship between the two is more inhibition than cooperation, and the inhibition of online banking on third-party payment transactions is more significant than the third payment reaction. Only by strengthening cooperation can they win-win; the growth rate of third-party online payment transactions is more durable than that of online banking, but the market share is lower than that of banks; after 2011, the inhibition of third-party payment by banks is more significant than that of online banking. Compared with the period before 2011, this use decreased from inhibition to cooperation, and the growth of the overall turnover of the two plays a role in improving their development.

Competitive Analysis of the Russian Online Banking Market

The functioning of the digital economy determines the introduction of Internet technologies in almost all areas of business. In recent years, online banking systems have become widespread in Russia, which contribute to the appearance of new competitive factors in the banking services market. By providing services via the Internet, the banks can improve their financial performance and effectiveness by offering customers more services in a convenient format and on the most profitable conditions. Nowadays online banking as a tool for providing banking services is crucially important for the improvement of a commercial bank’ competitiveness. This work is a research of the modern Russian online banking market, which is devoted to the competitive analysis of its participants using marketing instruments and Internet resources. The purpose of the study is to develop practical recommendations for improving companies’ competitiveness in the Russian online banking market on a concrete example.