Common Account Malware Removal Across Multiple Devices
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Solution Overview
Problem
Existing malware detection methods are inefficient in removing malicious applications from multiple devices simultaneously, leading to compromised data and device functionality, as manual uninstallation across devices is time-consuming and prone to missed infections.
Innovation Solution
A system utilizing a common account to identify and uninstall malicious applications across multiple computing devices in a single operation, leveraging a malware detection application that scans, identifies, and removes malware from all connected devices synchronously, improving CPU usage, memory management, and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual uninstallation is performed on each device individually, then complete malware removal can be achieved, but the process is time-consuming and may miss infections on other devices
Solution Approach 1:
The patent merges multiple uninstallation operations into a single automated action. When malware is detected on one device, the system automatically identifies and removes the same malware from all other devices associated with the same user account, combining what would otherwise be separate manual operations into one unified process that ensures complete removal across all devices simultaneously
Solution Approach 2:
The system performs preliminary identification of malware across multiple devices before the user initiates removal. By scanning and detecting malicious applications on all associated devices in advance, the system prepares a comprehensive removal plan that executes automatically, ensuring no device is missed and reducing the time the user needs to spend on the actual uninstallation process
2Measurement precision
If malware detection scans all devices frequently, then detection accuracy improves, but CPU usage and power consumption increase
Solution Approach 1:
The malware detection application implements a universal scanning mechanism that serves multiple devices simultaneously through a single user account. Instead of each device independently scanning for malware (which would multiply CPU usage and power consumption), one device performs the scan and the results are automatically applied to all other devices in the account, achieving the same detection accuracy while significantly reducing overall energy consumption across the device ecosystem
Solution Approach 2:
The system creates a copy of the malware detection results from one device and applies them to other devices. Rather than performing redundant scanning operations on each device, the detection data is copied and shared across all devices associated with the same account, maintaining high detection accuracy while minimizing the computational resources and power required for scanning
Data Source
AI summary
A method for preventing malware is described. The method may include identifying a malicious application running on a first computing device, determining that the malicious application is installed on a second computing device based on the identifying, and performing a single operation including uninstalling the malicious application from the first computing device and the second computing device.