International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 186 - Number 44 |
Year of Publication: 2024 |
Authors: Surabhi Anand, Sahil Miglani |
10.5120/ijca2024924064 |
Surabhi Anand, Sahil Miglani . AI-Enhanced Multi-Layer Security: Implementing a 3-Level Image-Based Authentication System on Mobile Devices. International Journal of Computer Applications. 186, 44 ( Oct 2024), 16-18. DOI=10.5120/ijca2024924064
Mobile devices play an essential role in daily life by enabling communication, accessing information, and facilitating transactions. This increased reliance has introduced significant security concerns, as sensitive data is stored and transmitted through these devices. As security threats continue to evolve in complexity, it is imperative to adopt authentication mechanisms that not only enhance protection but also provide ease of use. In this paper, a 3-level image-based authentication system is proposed, leveraging artificial intelligence (AI) to improve security on mobile devices. The system aims to offer a more adaptive, resilient, and user-friendly solution by dynamically adjusting to emerging threats. This advanced multi-layer security approach presents a practical response to the growing demand for improved mobile security, ensuring that both convenience and data protection are prioritized.