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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    CAPABILITY ANALYSIS OF ATM MALWARE USING THE CAPA FOR FORENSIC INVESTIGATIONS
    Kiranbhai R Dodiya1, Dr. Kapil Kumar2*
    Journal of Data Acquisition and Processing, 2023, 38 (4): 2277-2288 . 

    Abstract

    The current Digital Age has seen an unprecedented shift in how people live, work and communicate owing to rapid technological progressions. Yet, this evolution also brings unique challenges, mainly concentrating on enhancing cybersecurity measures. ATM malware is a significant challenge due to its polymorphic nature. ATMs enable global financial transactions. However, ATMs lure crooks with financial gain. ATM malware has advanced recently, posing severe dangers to financial institutions and customers. This study analyses ATM malware capabilities using CAPA. ATM malware can be analyzed using CAPA. CAPA is applied to ATM malware types to investigate attackers’ methods for stealing cash or sensitive financial data. Accurate CAPA analysis and ATM malware samples are the study techniques. The investigation examines the malware's code entry, card skimming, cash-out techniques, and network exploitation. ATM malware evasion tactics are also discussed. This analysis shows how ATM malware operates and evolves. ATM malware techniques and capabilities must be understood to improve ATM security. This research will help financial institutions and ATM designers stay ahead of hackers and improve safety. This study analyses ATM malware capabilities using CAPA. Examining real-world ATM malware samples helps researchers, security professionals, and industry stakeholders understand the evolving threat landscape. This study allows initiative-taking defences against ATM hacks, improving ATM system security and dependability.

    Keyword

    ATM-Malware, Network, Cyber-criminal, CAPA, Capability, Enhancing


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ISSN 1004-9037

         

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