Frequency Spectrum Analysis for Malicious Software Detection
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Solution Overview
Problem
Existing detection techniques for malicious software processes in electronic computing devices are computationally intensive and struggle to efficiently detect anomalous resource usage and unauthorized access, especially on mobile devices.
Innovation Solution
The method involves monitoring and analyzing the electromagnetic frequency spectrum generated by a computing device when executing software applications, creating a database of reference frequency spectrums for known applications and modes, and comparing real-time frequency spectrums to detect anomalies indicative of malicious activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signature-based detection techniques are used to detect malicious software, then detection accuracy is improved, but computational overhead increases significantly
Solution Approach 1:
The patent replaces the mechanical/computational system of signature-based file scanning with an electromagnetic field-based detection system. Instead of computationally intensive pattern matching in software, the system uses electromagnetic spectrum analysis to detect malicious processes, thereby reducing computational overhead while maintaining detection accuracy.
Solution Approach 2:
The patent introduces electromagnetic spectrum analysis as an intermediary detection mechanism. Rather than directly analyzing software code or network traffic for signatures, the system uses electromagnetic emissions as an intermediate indicator of malicious activity, enabling faster and more energy-efficient detection.
2Speed
If real-time monitoring of software processes is implemented, then detection speed is improved, but energy consumption increases
Solution Approach 1:
The patent substitutes continuous computational monitoring with periodic electromagnetic spectrum sampling. This replacement enables real-time detection capability while significantly reducing energy consumption, as electromagnetic measurements require far less processing power than traditional real-time code analysis.
3Reliability
If comprehensive security scanning is performed on mobile devices, then detection capability is improved, but device performance degradation increases
Solution Approach 1:
The patent replaces resource-intensive file system scanning and memory analysis with lightweight electromagnetic spectrum monitoring. This substitution maintains comprehensive detection capability while minimizing impact on device performance, as the electromagnetic measurements do not interfere with normal device operations.
Data Source
AI summary
Methods and systems for detecting anomalous software behavior by monitoring frequency spectrums emanating from an electronic device are provided. A method includes storing frequency spectrum profiles for software applications and operational modes on the device. During execution of a software application, the real-time emanating frequency spectrum is measured and compared to the stored spectrum profile for that application and operational mode. Deviations between the real-time and reference spectrums indicate anomalous behavior from unknown software executing. The device determines a deviation exists and performs remedial actions like alerting the user, disconnecting from the network, shutting down, or switching application execution to another device. Frequency profiles are measured for new applications installed and stored to keep the data updated. Monitoring real-time frequency spectrums emanating from a device provides a computationally lightweight technique for detecting malicious software behavior without requiring complex analysis of application code.