Data Package Classification Using Sender-Recipient Trust Metrics
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Solution Overview
Problem
The transmission of data packages between sending and receiving devices on a network requires time-consuming and resource-intensive security checks, leading to user frustration due to increased processing times and potential delays in determining the veracity of the data packages.
Innovation Solution
A method and system that utilize a framework comprising classifiers, processing components, and databases to determine a relationship metric based on previous communications between senders and recipients, enabling efficient and accurate handling of data packages by analyzing header data, payload data, and footer data, and applying appropriate handling actions based on the relationship metric.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security checks are performed on data packages to determine veracity, then security and threat detection are improved, but processing time and resource consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing relationship metrics between senders and recipients in a database before data packages are transmitted. When a data package arrives, the classifier directly retrieves the pre-computed relationship metric instead of calculating it in real-time, significantly reducing processing time while maintaining security detection capability
Solution Approach 2:
The system creates a copy of the relationship data and stores it in a database for quick reference. Instead of re-analyzing communication history for each data package, the system uses copied relationship metrics from the database, enabling fast security decisions without re-processing original communication data
2Measurement precision
If comprehensive security analysis is performed on data packages, then threat detection accuracy is improved, but user frustration increases due to delays
Solution Approach 1:
The system extracts only the essential relationship metric from the full communication history data and stores it in the database. This extracted metric captures the core trust relationship without requiring comprehensive analysis of all communication details, enabling fast security decisions with maintained accuracy
Solution Approach 2:
The system changes the parameter representation by converting complex communication history into a simplified relationship metric parameter. This parameter transformation enables quick security assessments while preserving the essential trust relationship information needed for accurate threat detection
Data Source
AI summary
A method, system and non-transitory computer-readable medium for classifying a received data package, using a framework comprising a classifier, a processing component for processing the data package using the classifier, and a database for storing relationship data indicating relationships between a sender and a recipient. The classifier is configured to obtain header data of the received data package, the header data comprising user identifiers corresponding to the sender and the recipient, and to obtain data representing a relationship between the sender and the recipient from the database. A relationship metric is determined based on the relationship, wherein the relationship is indicative of a communication history between the sender and the recipient. A handling action is then applied to the received data package based on the relationship metric, and the relationship data between the sender and the recipient in the database is updated based on the received data package.