Network Traffic Analysis for Unsubscribed Security Function Gaps
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Solution Overview
Problem
Network service devices often fail to recognize newly added security functions in protection mechanisms, leading to outdated and inadequate security protection due to lack of awareness of the functions' capabilities and characteristics, resulting in incomplete utilization of available security features.
Innovation Solution
Implement a network traffic management system that monitors and analyzes traffic data using security enhancing models not subscribed by the network service device, detects security anomalies, and generates notifications to alert the device about potential gaps in protection, enabling the device to subscribe to relevant security enhancing models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a network service device subscribes to multiple security functions provided by a protection mechanism, then the security protection coverage is improved, but the device complexity and subscription cost increase
Solution Approach 1:
The system automatically analyzes the network service device's traffic data and autonomously determines the most suitable security functions to subscribe, eliminating the need for manual configuration by users. The protection mechanism performs self-assessment and automatic subscription management based on observed traffic patterns and security requirements.
Solution Approach 2:
The system continuously monitors traffic data and security threats, uses this feedback to dynamically adjust and optimize security function subscriptions. The protection mechanism learns from observed security incidents and traffic characteristics to automatically subscribe to or unsubscribe from security functions, creating a closed-loop adaptive security system.
2Reliability
If new security functions are continuously added to the protection mechanism, then the security protection capability is improved, but the network service device fails to notice and subscribe to these new functions, resulting in outdated protection
Solution Approach 1:
The system proactively analyzes traffic data and identifies potential security needs before threats materialize. By continuously monitoring traffic patterns and comparing them against the catalog of available security functions, the system prepares and recommends appropriate security function subscriptions in advance, ensuring the device is protected before security incidents occur.
Solution Approach 2:
The system establishes a continuous feedback loop that monitors both traffic data and updates to the security function catalog. When new security functions are added to the protection mechanism, the system automatically detects these updates, analyzes their relevance to the device's traffic characteristics, and notifies or automatically subscribes the device to appropriate new functions.
3Ease of operation
If manual selection of security functions is performed, then the subscription process is simple, but the selected functions may not be the best ones to protect the traffic data
Solution Approach 1:
The system automatically performs the security function selection process by analyzing the device's traffic data characteristics and autonomously determining the most appropriate security functions. This eliminates manual selection entirely, combining operational simplicity with optimized security effectiveness through automated intelligent decision-making.
Solution Approach 2:
The patent replaces manual mechanical selection processes with automated data-driven analysis. Instead of relying on user knowledge and manual configuration, the system uses automated traffic analysis and machine learning to substitute human decision-making with algorithmic optimization, achieving both simplicity and effectiveness.
Data Source
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AI summary
Methods, non-transitory computer readable media, network traffic manager apparatuses, and systems that protects a network service device are disclosed. The method includes monitor traffic data of a network service device, retrieve one or more attributes from the monitored traffic data of the network service device, and execute a security enhancing model to detect one or more security anomalies from the retrieved one or more attributes, wherein the security enhancing model is not subscribed by the network service device. In response to the one or more anomalies being detected, the method generates a notification comprising information on at least one of the one or more anomalies and the security enhancing model and transmit the notification to the network service device.