Blockchain user digital identity big data and information security process protection based on network trust

Wang, Feng; Gai, Yongjie; Zhang, Haitao

doi:10.1016/j.jksuci.2024.102031

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…(Wang et al, 2024) Malware Malware, an abbreviation for malicious software, encompasses any invasive program created by cybercriminals (often known as hackers) with the intention of pilfering data and causing harm or destruction to computers and computer systems. Common types of malware encompass viruses, worms, Trojan viruses, spyware, adware, and ransomware (Alaeiyan et al, 2023).…”

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Examining the Role of Artificial Intelligence in Cyber Security (CS): A Systematic Review for Preventing Prospective Solutions in Financial Transactions

Faraji,

Shikder,

Hasan

et al. 2024

Intl. J. Rel.

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Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen their security posture against various security issues and cyberattacks. This objective focuses on analysing how AI-based cyber security (CS) solutions improve performance in financial transactions and banking sectors. It also aims to identify the latest advancements in AI-driven CS) research to enhance security and operational efficiency in the financial sector. This article presents a systematic literature review and a detailed analysis of AI use cases for cybersecurity in financial transactions. The review resulted in 800 studies, of which 225 articles remain. This paper will provide readers with a comprehensive overview of the potential of AI to improve cybersecurity in financial transactions. The review also identifies future research opportunities in examining cybersecurity application areas, advanced AI methods, data representation, and the development of new infrastructures for successful adoption in financial transactions. The paper might increase cyber security systems’ performance by increasing their defence against cyberattacks. Artificial intelligence approaches improve and enhance cyber security with machine learning and deep learning, fraud and threat detection, and this makes sure a secure and safe financial transaction. This study helps identify how to make transactions safer with cyber security. This study highlights the vital role of evaluation and continuous adaptation in AI. In the near future, this topic should focus on more collaboration among AI, cyber security, and system developers for better and secured outcomes.

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confidence: 99%