Abstract
This study aims to investigate a new method of forensic cybersecurity to improve data protection in the banking industry. The document is based on several experiments that demonstrate the effectiveness of digital forensics, combined with traditional banking security measures, as a reliable data security method. Banking data is a prime target for most cyber attackers, and securing this data has always been one of the most critical challenges in the banking industry, especially in modern society, where numerous money transfer systems have emerged. This research suggests and explains a more specialized security system that employs disk imaging, data carving, memory analysis, and network forensics to detect, investigate, and counteract cybercrimes against banking data. The authors illustrate how these techniques can combine with traditional security measures to improve banking data security and enhance forensic investigation processes. The method allows banking firms to improve the efficiency of incidence response, protect confidential information, improve risk management and adhere to government regulations. The researchers employed standardized scientific experiments that proved the effectiveness of this security enhancement method. Result analysis indicates that by implementing this method of forensic cybersecurity, bankers can reduce losses due to cyberattacks by at least 40%. They can also improve their customer’s trust, consequently maintaining a high client retention rate, helping firms boost profits by up to 30%. Besides its benefits to financial institutions, this research project contributes to the scientific literature on digital forensics and cybersecurity. Additionally, it provides practical solutions and suggestions that can be used in other data security subsectors. Keywords: Forensic Computer Science, Banking Data, Cybercrime, Digital Forensics, Data Security DOI： https://doi.org/10.35741/issn.0258-2724.58.2.29
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