Integration Design Analysis of Mobile Protection Against Spyware Attacks with Artificial Intelligence

This paper explores the critical role of artificial intelligence (AI) in enhancing mobile protection against spyware attacks through Systems Integration and Architecture Security. Focusing on integrating AI-powered threat intelligence with traditional security measures, the study delves into the effectiveness of multi-layered defense mechanisms in combating cyber threats. Through an extensive literature review, the paper explains the transformative impact of AI-driven solutions in identifying and neutralizing advanced spyware risks. The results emphasize the crucial significance of AI's role in enhancing cybersecurity resilience and paving the way for proactive measures to mitigate emerging threats in today's dynamic technological landscape. our findings highlight the significant role of AI in advancing systems integration and architecture, providing essential insights for fortifying cybersecurity resilience and paving the way for proactive measures to mitigate emerging threats. As we look ahead, the collective relationship between AI, systems integration, and architecture holds immense promise for shaping the future of mobile security and safeguarding sensitive data and user privacy.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/ccet62233.2024.10838162
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration Design Analysis of Mobile Protection Against Spyware Attacks with Artificial Intelligence

Mary Jane C. Samonte, Pfrancis Isaiah R. Ampiloquio, John Hane Adolfo
Advanced Malware Detection Techniques
article

Integration Design Analysis of Mobile Protection Against Spyware Attacks with Artificial Intelligence

Mary Jane C. Samonte, Pfrancis Isaiah R. Ampiloquio, John Hane Adolfo
article en

Abstract

This paper explores the critical role of artificial intelligence (AI) in enhancing mobile protection against spyware attacks through Systems Integration and Architecture Security. Focusing on integrating AI-powered threat intelligence with traditional security measures, the study delves into the effectiveness of multi-layered defense mechanisms in combating cyber threats. Through an extensive literature review, the paper explains the transformative impact of AI-driven solutions in identifying and neutralizing advanced spyware risks. The results emphasize the crucial significance of AI's role in enhancing cybersecurity resilience and paving the way for proactive measures to mitigate emerging threats in today's dynamic technological landscape. our findings highlight the significant role of AI in advancing systems integration and architecture, providing essential insights for fortifying cybersecurity resilience and paving the way for proactive measures to mitigate emerging threats. As we look ahead, the collective relationship between AI, systems integration, and architecture holds immense promise for shaping the future of mobile security and safeguarding sensitive data and user privacy.

Mapúa University (PH)
Openalex Percentile: Top 72%
Advanced Malware Detection Techniques
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Integration Design Analysis of Mobile Protection Against Spyware Attacks with Artificial Intelligence — Mary Jane C. Samonte, Pfrancis Isaiah R. Ampiloquio, et al. · (2024) | TGRS Research Map | TGRS