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

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
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article

AI Vigilance: Pioneering Malware Detection In The Android Realm

G. Manikanta Srinivas, Veeramachaneni Nirosha, G. Sai Kumar, Gummadavelli Akhil et al.
1 citations
Advanced Malware Detection Techniques
0.35
article

AI Vigilance: Pioneering Malware Detection In The Android Realm

G. Manikanta Srinivas, Veeramachaneni Nirosha, G. Sai Kumar, Gummadavelli Akhil, J. Anvesh
article en
1 citations

Abstract

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.

Openalex Percentile: Top 39%
Advanced Malware Detection Techniques
0.35
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