CYBER ATTACK VECTORS AND CLIENT DATA PROTECTIN ACTIVITIES: EVALUATING THE ROLE OF FINTECH APPS IN DMBS

Abstract:

The rapid growth of financial technology (FinTech) applications has revolutionized the way individuals and businesses conduct financial transactions. However, this increased reliance on FinTech apps also exposes users and their sensitive data to various cyber threats. This abstract aims to evaluate the role of FinTech apps in database management systems (DBMS) and the measures taken to protect client data from cyber attacks.

The evaluation begins by examining the different cyber attack vectors that pose a significant risk to FinTech apps and their underlying DBMS. These attack vectors may include but are not limited to, phishing attacks, malware injection, SQL injections, and distributed denial of service (DDoS) attacks. Understanding these attack vectors is crucial for identifying vulnerabilities and implementing effective security measures.

Next, the abstract discusses the client data protection activities employed by FinTech apps. These activities encompass a range of security measures, including encryption, secure authentication protocols, access controls, and regular security audits. The abstract also explores the use of advanced technologies such as machine learning and artificial intelligence in enhancing data protection practices.

Furthermore, the abstract highlights the importance of regulatory compliance in the FinTech sector. Governments and regulatory bodies have recognized the need to protect client data and have introduced guidelines and regulations to ensure data privacy and security. Compliance with these regulations is paramount for FinTech apps, and the abstract examines the role of regulatory frameworks in strengthening data protection practices.

To evaluate the effectiveness of FinTech apps in DBMS, the abstract discusses case studies or real-world examples where cyber attacks targeted FinTech apps and the subsequent response and remediation efforts. By analyzing these incidents, the abstract aims to identify common vulnerabilities and propose recommendations to mitigate future risks.

In conclusion, this abstract provides an overview of the cyber attack vectors faced by FinTech apps and the client data protection activities employed in DBMS. It emphasizes the importance of robust security measures, regulatory compliance, and continuous monitoring to safeguard client data and maintain user trust in FinTech applications.

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