Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
IT-1715: An AI-Based Framework for Enhancing Mobile and Application Security
Author(s):
1. Mehwish Kanwal: Rawalpindi Women University, Pakistan.
2. Gufran Bibi: Rawalpindi Women University, Pakistan.
3. Madiha Sattar: Rawalpindi Women University, Pakistan.
Abstract:
In today's digital world, mobile phones have become the main source of personal and professional communication. However, with the rapid increase in mobile applications and online connectivity, security and privacy risks are growing. Users often install apps without checking permissions, leading to data theft, malware infections, and privacy breaches. This project, An AIbased framework for enhancing Mobile & Application Security Solution, aims to develop an intelligent mobile security system that provides real-time protection against potential threats. The system will scan all installed applications, detect unusual behaviors, and alert users about unsafe permissions or malicious activity. It will also monitor network security, identify insecure WiFi connections, and offer a privacy dashboard showing the overall security status of the device. The proposed solution will use AI- based behavior analysis, encryption, and permission auditing to enhance mobile and application security. Through its simple interface and smart protection features, an AI-based framework will empower users to take full control of their device privacy and ensure a safer digital experience.
Page(s): 122-122
DOI: DOI not available
Published: Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
Data Privacy , Cyber Security , Application Security , Network Safety , Malware Protection , Mobile Security , AI Threat Detection
References:
References are not available for this document.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

4

Views