AI Vigilance: Pioneering Malware Detection In The Android Realm
provides a different strategy for preventing malware from harming Android devices. By improving accuracy and speed, the research seeks to transform malware detection through the use of modern artificial intelligence (AI) approaches. Real-time monitoring systems, prediction models for finding complex malware behaviour patterns, and AI-driven feature extraction techniques are important elements. The research aims to determine the efficacy and dependability of its AI-based malware detection system through thorough testing and validation with various datasets. The focus is on smooth integration, performance optimisation, and scalability within the current Android security framework. The research findings have considerable potential to improve mobile security by providing preventive measures against new malware attacks.“AI Vigilance” is an innovative attempt aimed at establishing a more secure and robust Android computing environment in the face of constantly changing cybersecurity threats.
Authors
- G. Manikanta Srinivas
- Veeramachaneni Nirosha (ORCID: https://orcid.org/0000-0001-9653-8232)
- G. Sai Kumar
- Gummadavelli Akhil
- J. Anvesh
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/idicaiei61867.2024.10842719
- Citations
- 1
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.35