Enhancing Data Security in Android Systems through an Intermediary Layer for Unauthorized Access Prevention
The ever-expanding digital landscape necessitates robust data security measures within applications. Traditional security methods often struggle to keep pace with evolving cyber threats. To tackle this challenge, a novel security layer is proposed, positioned between the user interface and the application framework. This layer serves as a proactive defense, intercepting and thwarting unauthorized access attempts to safeguard sensitive data. The suggested solution employs a comprehensive data protection strategy. Firstly, it implements precise access controls, permitting only authorized users to access specific data components. Secondly, it integrates advanced encryption techniques to render sensitive data indecipherable without the correct decryption key. This multi-layered defense significantly reduces the likelihood of data breaches while maintaining optimal system performance. By delving into the development process and implementation specifics of this security layer, the paper sheds light on its practical application. Moreover, it presents empirical results from real-world scenarios, showcasing the layer's effectiveness in protecting sensitive information. This innovative approach holds promise in revolutionizing data security practices, empowering developers to foster user trust by prioritizing data integrity and confidentiality. Introducing offline functionality enables customers to continue using essential features even in the event that internet connectivity is lost. Apart from enhancing the user experience, these solutions also increase the accessibility of mobile applications in places where connectivity is expensive or unreliable. The abstract also looks at how mobile application optimization affects developing nations' socioeconomic systems.
Authors
- M. Sathyanarayanan
- K. Umamaheswari
- S. Kanimozhi
- ПРОБИН П.С. ПРОБИН П.С.
- Arockia Mary P
- D Vengaimarbhan
Institutions
- M. Kumarasamy College of Engineering
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/incet64471.2025.11140054
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00