Intelligent Firewall Using Command Log Analysis for Anomaly Detection
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Solution Overview
Problem
Current firewall technologies lack an effective mechanism to predict and prevent abnormal data access patterns, which can lead to malicious attacks, as they rely on static rules rather than intelligent analysis of command logs.
Innovation Solution
A method and system that separates the controlling layer from the data layer, analyzing command logs to establish predictive rules, performing anomaly detection, and generating policy data to determine processing actions for data access commands, thereby implementing an intelligent firewall function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static rules are used for firewall control, then device complexity is reduced, but the ability to detect and prevent abnormal access patterns deteriorates
Solution Approach 1:
The system separates the firewall into two independent layers: a control layer that performs intelligent analysis of command logs to generate predictive rules, and a data layer that executes access control decisions. This segmentation allows the data layer to remain simple while the control layer provides advanced detection capabilities through log analysis and anomaly detection algorithms.
2Reliability
If intelligent log analysis is implemented, then abnormal access detection capability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of command logs to establish predictive rules and baseline behaviors before actual data access occurs. By pre-processing log data and generating access policies in advance, the system prepares detection criteria beforehand, enabling rapid real-time decisions without performing complex analysis during the actual data access operation.
3Adaptability or versatility
If dynamic policy generation is used, then adaptability to different access patterns is improved, but device complexity increases
Solution Approach 1:
The control layer acts as an intermediary between the data layer and the policy enforcement mechanism. It receives command logs, performs intelligent analysis to detect abnormal patterns, generates adaptive access policies, and transmits them to the data layer. This intermediary approach enables dynamic policy generation without requiring the data layer to become complex, as the control layer handles all analytical and decision-making functions.
Data Source
AI summary
A method, a system and an apparatus for predicting abnormalities are provided. A controller analyzes a plurality of command logs to obtain a predictive rule for accessing a storage device. The controller performs an anomaly detection for the command logs based on the predictive rule so as to obtain at least one command cluster. The controller establishes policy data corresponding to the predictive rule based on the command logs included in each command cluster, and sends the policy data to a data transmission interface coupled to the storage device. The data transmission interface obtains a processing action for a received data access command according to the policy data.


