VoIP Attack Detection via Dynamic Audio CAPTCHA
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Solution Overview
Problem
VoIP networks face challenges in detecting and mitigating network attacks, particularly Distributed Denial of Service (DDoS) attacks, which existing solutions fail to address effectively in near real-time, compromising network security.
Innovation Solution
A comprehensive automated attack-avoidance solution that includes call monitoring, diversion of suspicious calls, and the application of audio challenge-response tests, utilizing a guardian module to administer CAPTCHA tests by generating and configuring scripts with altered sound files based on complexity levels to differentiate human from automated calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated call monitoring and analysis is implemented to detect attacks in real-time, then network security and attack detection capability are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system divides attack detection into multiple specialized modules: anomaly detection module for statistical analysis, pattern recognition module for signature matching, and CAPTCHA module for challenge-response verification. Each module handles specific aspects of security monitoring, reducing overall system complexity while maintaining comprehensive protection.
Solution Approach 2:
The patent introduces a policy change engine as an intermediary layer between detection modules and mitigation actions. This engine translates detected anomalies into standardized policy changes, simplifying the coordination between multiple security components and reducing system complexity.
2Measurement precision
If audio challenge-response tests with multiple complexity levels are administered to differentiate human from automated calls, then attack mitigation accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system dynamically adjusts CAPTCHA complexity levels based on detected anomaly severity and call patterns. For low-risk calls, simpler challenges are used; for high-risk calls, more complex multi-level challenges are administered. This dynamic adaptation maintains high detection accuracy while minimizing processing time for legitimate calls.
Solution Approach 2:
The patent changes multiple parameters of the audio challenge-response test including noise levels, playback speed, and question complexity based on the detected threat level. These parameter adjustments allow the system to optimize between accuracy and processing time by matching challenge difficulty to the suspected attack probability.
3Object-affected harmful factors
If suspicious calls are diverted for CAPTCHA verification, then malicious traffic blocking is improved, but legitimate call throughput and network efficiency decrease
Solution Approach 1:
The system applies CAPTCHA verification selectively rather than universally - only to calls exhibiting specific anomaly patterns. The anomaly detection module identifies suspicious characteristics and triggers verification only for those calls, allowing legitimate traffic to pass through without interruption and maintaining high network throughput while still blocking malicious traffic effectively.
Data Source
AI summary
The invention features systems and methods for detecting and mitigating network attacks in a Voice-Over-IP (VoIP) network. A server is configured to receive information related to a mitigation action for a call. The information can include a complexity level for administering an audio challenge-response test to the call and an identification of the call. The server also generates i) a routing label based on the identification of the call, and ii) a script defining a plurality of variables that store identifications of a plurality of altered sound files for the audio challenge-response test. Each altered sound file is randomly selected by the server subject to one or more constraints associated with the complexity level. The server is further configured to transmit the script to a guardian module and the routing label to a gateway.