IoT Traffic Analysis via Dynamic Algorithm Selection
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Solution Overview
Problem
Conventional abnormal traffic analysis systems are inadequate in handling traffic from IoT devices that switch between different communication methods, leading to inefficient analysis and detection of unauthorized communications.
Innovation Solution
An abnormal traffic analysis apparatus that identifies the communication path used by IoT devices and selects the appropriate analysis algorithm for real-time traffic analysis, enabling effective detection of abnormal traffic across various communication methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single analysis algorithm optimized for a specific communication method is used, then the analysis precision for that specific communication method is improved, but the adaptability to handle multiple communication methods deteriorates
Solution Approach 1:
The system dynamically selects and switches between different analysis algorithms based on the identified communication path. The analysis algorithm is not fixed but adapts in real-time according to the communication method being used, allowing the system to maintain high precision for each specific communication method while handling multiple communication methods overall.
Solution Approach 2:
The system changes the analysis parameters and algorithm selection based on the communication path identification. Different communication methods have different traffic characteristics, and the system adjusts the analysis parameters accordingly to optimize detection accuracy for each specific communication method while maintaining versatility across multiple methods.
2Measurement precision
If traffic analysis is performed using a communication method-specific algorithm, then the detection accuracy for that communication method is improved, but the system complexity increases when handling multiple communication methods
Solution Approach 1:
The system segments the traffic analysis process into distinct stages: communication path identification, communication method determination, and algorithm selection. By dividing the analysis process into separate functional modules, the system can handle multiple communication methods with specific algorithms without creating a monolithic complex system, as each segment can be independently managed and optimized.
Solution Approach 2:
The system introduces an intermediary layer (communication path identification and analysis method determination modules) that sits between the traffic input and the specific analysis algorithms. This intermediary layer translates various communication methods into a standardized interface for algorithm selection, reducing the overall system complexity by avoiding direct integration of all possible communication method handlers.
3Ease of operation
If the communication path is not identified, then the system operation is simpler, but the appropriate analysis algorithm cannot be selected leading to reduced detection effectiveness
Solution Approach 1:
The system performs preliminary identification of the communication path before executing the main traffic analysis task. By determining the communication method in advance, the system can automatically select the appropriate analysis algorithm without requiring complex real-time decision-making during analysis, thus maintaining operational simplicity while ensuring detection effectiveness.
Data Source
AI summary
An abnormal traffic analysis apparatus includes receiving means for receiving traffic from a device via any of a plurality of communication paths in which different communication methods are used, multiple communication management means for identifying a communication path through which the traffic is transmitted, analysis method determination means for determining an analysis algorithm for detecting abnormality of the traffic according to the communication path identified by the multiple communication management means, analysis means for analyzing whether or not the traffic is abnormal traffic by using the analysis algorithm determined by the analysis method determination means, and analysis result recording means for recording a result of analysis performed by the analysis means.