Contextual Audio Degradation for IVR Robotic Attack Defense
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing IVR systems face challenges in effectively defending against robotic attacks, as conventional CAPTCHA methods can be unnatural and irritating to human users while being ineffective against sophisticated speech recognition systems.
Innovation Solution
The implementation of contextual-based degradations, such as natural and branded background audio signals, and the use of random personal codes in IVR menu options, which are selected based on the call context, including the identity of the called party and time period, to differentiate human users from robotic attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional CAPTCHA methods (white noise degradation) are used to defend against robotic attacks, then security against robots is improved, but user experience deteriorates (unnatural and irritating sounds)
Solution Approach 1:
The patent changes the parameters of audio degradation from conventional white noise to context-specific natural sounds (e.g., traffic noise for banks, nature sounds for resorts). This transforms the degradation from an abstract technical parameter to a contextualized auditory experience that maintains security effectiveness while improving naturalness and user acceptance.
Solution Approach 2:
The patent introduces context-specific background audio as an intermediary between the IVR system and the caller. This intermediary layer of natural sound serves as a subtle barrier to robotic recognition while remaining imperceptible or pleasant to human users, thus mediating between security requirements and user experience.
2Ease of operation
If speech recognition capabilities are enhanced to handle degraded audio, then human user accessibility is improved, but robotic attack vulnerability increases
Solution Approach 1:
The patent applies different audio degradation characteristics to different IVR contexts and menu options. Each context (bank, hotel, restaurant) receives tailored background audio appropriate to its environment, creating localized quality variations that confuse robots while maintaining naturalness for human users in each specific context.
Solution Approach 2:
The system dynamically adjusts the type and intensity of background audio degradation based on the call context, time of day, and potentially other factors. This dynamic adaptation allows the system to optimize the balance between human accessibility and robotic resistance in real-time rather than using static degradation.
Data Source
AI summary
Methods and apparatus are provided fox defending against telephone-based robotic attacks. An interactive voice response method is provided for presenting a menu having one or more menu options to a caller associated with a call. The method comprises the steps of obtaining a script to present to the caller, the script including the one or more menu options; combining at least one of the one or more menu options with a background audio signal, wherein the background audio signal is selected based on a context of the call; and presenting the combination of the at least one of the one or more menu options and the background audio signal to the caller. The context of the call includes comprises one or more of an identity of a called party associated with the call and a time period of the call. The background audio signal can optionally be obtained from a library of background signals.