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Mobile Application Software Security Protection: A Comprehensive Analysis
- 1 College of computer science and technology, Shanghai Institute of Technology, Shanghai, China, 200333
* Author to whom correspondence should be addressed.
Abstract
In the digital age, mobile application security holds an extremely crucial position. This comprehensive paper undertakes an in-depth exploration of the realm of mobile app security. It meticulously identifies a range of common threats that pose a significant risk to mobile applications. These threats encompass malware and virus infections that can disrupt the integrity of the app and user data, data breaches and privacy violations that expose sensitive information, and network attacks that intercept and modify data transmissions. The paper subsequently proceeds to explore various protection mechanisms, such as robust encryption to safeguard data, strict authentication procedures to prevent unauthorized access, and thorough security testing. Additionally, it investigates technical solutions like code obfuscation, RASP, mobile application firewalls, and biometric authentication. The study emphasizes the importance of user education, developer best practices, and regulatory compliance. However, it also acknowledges the limitations and the ever-evolving nature of the security landscape. Future research directions are suggested, focusing on emerging threats and the effectiveness of security measures. Ensuring mobile app security requires continuous monitoring and collaboration among developers, users, and regulatory bodies to create a safe and reliable mobile ecosystem.
Keywords
Mobile application, security protection, threats, mechanisms, improvement strategies
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Cite this article
Li,Z. (2024). Mobile Application Software Security Protection: A Comprehensive Analysis. Applied and Computational Engineering,114,210-215.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation
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