Securing Financial Transactions: A Taxonomical Review of Cybersecurity Strategies in Banking | Chapter 4 | Business, Management and Economics: Research Progress Vol. 7

The financial sector has become one of the most heavily targeted industries for cyberattacks due to its vast repository of sensitive information and its pivotal role in the global economy. As banking institutions rapidly adopt digital technologies to enhance service delivery and customer experience, they are increasingly exposed to sophisticated cyber threats. This paper presents an extensive taxonomical review of the various cybersecurity strategies employed in the banking sector to secure financial transactions and protect against data breaches, financial fraud, and identity theft. The study categorizes existing cybersecurity mechanisms into distinct classes based on their core functionalities, technological frameworks, and applicability in different contexts of banking operations. The taxonomy is divided into preventive, detective, and corrective strategies, each covering a diverse set of techniques and tools. Preventive measures include encryption standards, secure coding practices, and robust authentication methods such as multi-factor authentication (MFA) and biometric verification. Detective strategies focus on real-time monitoring systems like intrusion detection systems (IDS), artificial intelligence (AI)-driven threat detection, and Security Information and Event Management (SIEM) solutions. Corrective strategies encompass incident response frameworks, disaster recovery plans, and data loss prevention (DLP) measures designed to mitigate damage in the aftermath of a cyberattack.

One of the key contributions of this review is an in-depth evaluation of emerging technologies and their role in transforming banking cybersecurity. These include blockchain-based transaction validation, quantum cryptography, AI and machine learning algorithms for anomaly detection, and zero-trust architectures that enforce strict verification at every layer of the network. The paper discusses how these advanced solutions complement traditional security measures and create a multi-layered defense system capable of addressing the increasingly complex threat landscape. The review highlights the importance of regulatory compliance and international standards, such as the Payment Card Industry Data Security Standard (PCI-DSS), General Data Protection Regulation (GDPR), and ISO/IEC 27001, in shaping cybersecurity strategies within banking institutions. Adherence to these standards not only ensures legal compliance but also provides a foundational framework for implementing effective security controls. Furthermore, the study analyzes the cost-effectiveness of different cybersecurity strategies, considering the financial constraints and resource availability that often influence the adoption of advanced technologies in small and medium-sized banking institutions.

 

 

Author (s) Details

Pallavi Mane
Department of Commerce and Management, Mandsaur University, Mandsaur, India.

 

Shrawan Kumar Sharma
Department of Computer Science and Engineering, Mandsaur University, Mandsaur, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/bmerp/v7/2862

Banking Sector, Non-Performing Loans, Financial Crisis: Evidence from Greece | Book Publisher International

 In order to identify the factors influencing the performance and rating of Greek commercial bank institutions during the study period, the goal of this book is to investigate the general condition fluctuation of those institutions. In addition, the Non-Performing Loans Portfolio (NPLs), a significant problem for the global financial system following and during the financial crisis, has had a significant impact on the Greek banking industry in recent years. As a result, its interrelationships and potential effects on the profitability and general effectiveness of the Greek banks have been examined.

Greek banks were forced to engage in business transactions such share capital increases, mergers, and acquisitions due to the shortage of liquidity, inadequate capital, and ongoing decline in profitability.

The goal of the study is to use CAMELS rating technique to conduct a thorough and comparative analysis of Greek Commercial Bank institutions listed on the Athens Stock Exchange Market between 2006 and 2012. Additionally, using ratio analysis of the National Bank of Greece, Piraeus Bank, Alpha Bank, Eurobank, Attica Bank, and the Co-operative Banks of Epirus, Crete, Thessaly, and Serres, as well as other banks, it has been empirically investigated how non-performing loans affect banks' performance and their profitability in 2017.

Business transactions, such as the issuance of long-term debt, have a significant impact on the banks' performance as measured by the CAMELS rating system. The findings, which were cross-tested using a panel data analysis and the Fixed Effects Model, show that there was high profitability, liquidity, and capital adequacy prior to the crisis period, from 2007 to 2009, with statistical significance for all of the traditional ratios. In contrast, during the financial crisis in Greece from 2009 to the present, Sensitivity and Liquidity were the only rating factors that offered insight into the banks' financial situation.

The analysis's conclusion focused on the relationship between loans and outflows, the extensive use of linear regression to manage the consequences of loans, and lastly the impact of lending on banks' financial performance.

 

In contrast to interest-related expenses, which have an asymmetric distribution, interest revenue on loans is positive for all banks but varies greatly. Aside from Piraeus Bank, which exhibits an exorbitant pricing, past-due loans for more than 90 days are uniform. Loans and ROA and ROE do not correlate in a statistically meaningful way.

 

All loans, excluding regulated loans, have an impact on equity, and this impact is regarded as statistically significant. The impact of NPLs on Net Profit before Tax for periods longer than 90 days is deemed statistically significant.

Author (s) Details

Mihail Diakomihalis

Department of Accounting and Finance, University of Ioannina / Hellenic Open University, Psathaki, 481 00 Preveza, Greece.

 

View Book :-  https://stm.bookpi.org/BSNPLFCEG/article/view/7753