Internet Financial Data Security and Economic Risk Prevention for Android Application Privacy Leakage Detection

Area of Science:

• Cybersecurity
• Financial Technology (FinTech)
• Data Science

Background:

• The internet's growth introduces significant security challenges, including widespread data theft and criminal activity.
• Mobile operating systems like Android are particularly vulnerable, impacting user privacy and financial security.
• The integration of finance with the internet (Internet finance) creates new avenues for risk and necessitates robust security measures.

Purpose of the Study:

• To address the escalating privacy and security concerns within the Internet finance sector.
• To design and propose a proactive risk management system for Internet finance.
• To enhance the security of user data and financial assets in the digital age.

Main Methods:

• Leveraging big data analytics to identify and predict potential risks.
• Developing a data-centric framework tailored to the characteristics of Internet finance.
• Designing an early warning system focused on risk analysis and mitigation.

Main Results:

• The proposed system enables the analysis of Internet financial risks through a big data perspective.
• It allows enterprises to anticipate potential threats and implement preemptive measures.
• The system aims to significantly reduce financial losses associated with Internet finance development.

Conclusions:

• A data-centric, big data-driven early warning system is crucial for managing Internet financial risks.
• Proactive risk assessment and mitigation are essential for securing user data and financial assets.
• The system provides a framework for enhancing the security and stability of the evolving Internet finance landscape.