Email Security Detection Using Behavior and Content Analysis
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Solution Overview
Problem
Conventional phishing email detection techniques focus on specific email features, such as subject or attachment type, and fail to accurately identify highly simulated phishing emails due to their limited scope and lack of comprehensive behavior pattern analysis.
Innovation Solution
An email security detection apparatus that includes an email feature extraction component to collect and extract behavior features of senders and recipients, as well as main body features of emails. This apparatus comprehensively analyzes these features using behavior and main body feature analysis components to identify suspicious phishing emails, and employs an email filtering and alarming component for real-time filtering and alerting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional phishing email detection techniques focus only on specific email features such as subject or attachment type, then the detection system is simple to implement, but the detection accuracy is limited and cannot identify highly simulated phishing emails
Solution Approach 1:
The detection system is segmented into multiple independent analysis components: behavior feature analysis component (analyzing sender/recipient behavior patterns) and main body feature analysis component (analyzing email content features). Each component focuses on specific feature types, allowing comprehensive detection while maintaining modular architecture that manages complexity.
Solution Approach 2:
The system transitions from analyzing only traditional email main body features (subject, attachment type) to incorporating a new dimension of behavior features (sender behavior, recipient behavior, interaction patterns). This multi-dimensional approach enables detection of highly simulated phishing emails that mimic legitimate email content but exhibit suspicious behavior patterns.
2Measurement precision
If comprehensive behavior features and main body features are analyzed to identify phishing emails, then the detection accuracy improves, but the computational complexity and processing time increase
Solution Approach 1:
The system performs preliminary extraction of behavior features and main body features as emails arrive, preparing analysis data in advance. The behavior feature analysis component and main body feature analysis component process features concurrently rather than sequentially, reducing overall processing time while maintaining comprehensive analysis.
Solution Approach 2:
The system merges the behavior feature analysis component and main body feature analysis component into a unified detection framework that operates in parallel. By combining multiple analysis streams and integrating their results, the system achieves high detection accuracy without significant time penalty, as both components process features simultaneously rather than sequentially.
3Reliability
If behavior features of senders and recipients are comprehensively analyzed, then the ability to identify suspicious phishing emails improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The behavior feature analysis is segmented into distinct analytical functions: sender behavior analysis (analyzing sender characteristics and patterns) and recipient behavior analysis (analyzing recipient response patterns). This segmentation allows the system to comprehensively analyze behavior features while maintaining manageable system complexity through modular design.
Data Source
AI summary
The present disclosure relates to the field of email security detection. Disclosed are an email security detection apparatus, method and device, and a storage medium. The method includes: an email feature extraction component, configured to collect and extract the behavior features of a sender and a recipient of an email, and the main body features of the email; a behavior feature analysis component, configured to comprehensively analyze the extracted behavior features of the sender and the receiver to identify a suspicious phishing email; a main body feature analysis component, configured to detect and analyze the extracted main body features of the email, and identify a suspicious phishing email; and an email filtering and alarming component, configured to perform filtering and real-time alarming and pushing on the suspicious phishing email identified by at least one of the behavior feature analysis component and the main body feature analysis component.