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.
Authors
- Mary Jane C. Samonte (ORCID: https://orcid.org/0000-0001-9867-8722)
- Pfrancis Isaiah R. Ampiloquio (ORCID: https://orcid.org/0009-0000-4591-121X)
- John Hane Adolfo
Institutions
- Mapúa University (PH)
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