Proof-of-Work Gateway Screening for DDoS-Resistant Data Intake
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Solution Overview
Problem
Non-authenticated gateways in cloud environments face challenges in distinguishing between legitimate and malicious data transmissions, leading to potential Distributed Denial of Service (DDoS) attacks and unnecessary resource consumption due to the lack of authentication and authorization processes.
Innovation Solution
Implementing a proof-of-work challenge mechanism where clients must solve cryptographic puzzles before transmitting data through the gateway, with challenge complexity adjusted based on data transmission patterns to deter malicious activity and reduce resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authentication and authorization processes are implemented at the gateway, then security against DDoS attacks is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent applies preliminary action by requiring clients to solve proof-of-work challenges before their data is processed by the gateway. The computational work is performed in advance by the client device, so when data arrives at the gateway, the security verification is already complete. This moves the security burden from the gateway to the client, improving security without increasing gateway complexity.
Solution Approach 2:
The proof-of-work challenge acts as an intermediary mechanism between the client and the gateway. Instead of the gateway directly authenticating clients through complex verification processes, the challenge-solution pair serves as a mediator that proves client effort without requiring the gateway to perform complex authentication logic. This reduces gateway complexity while maintaining security.
2Reliability
If proof-of-work challenges are required for all data transmissions, then malicious activity is deterred, but processing time and computational overhead increase
Solution Approach 1:
The patent applies dynamics by adjusting the complexity of proof-of-work challenges based on observed data transmission patterns. The system monitors the frequency and volume of transmissions from each client and dynamically modifies challenge difficulty accordingly. This ensures that legitimate clients experience minimal delay while malicious clients facing repeated transmissions encounter increasingly difficult challenges, thus deterring abuse without unnecessarily slowing down normal operations.
3Reliability
If challenge complexity is increased to deter malicious activity, then security is improved, but energy consumption and computational burden on clients increase
Solution Approach 1:
The system dynamically adjusts challenge complexity based on client behavior patterns. For clients with legitimate transmission needs, challenges remain at a manageable complexity level, keeping energy consumption acceptable. For clients exhibiting malicious patterns (high frequency, suspicious data volumes), complexity increases to deter further attacks. This dynamic approach ensures security is improved only when necessary, avoiding unnecessary energy waste on legitimate clients.
4Productivity
If all incoming data is processed without verification, then productivity is maintained, but resource consumption from malicious data increases
Solution Approach 1:
The proof-of-work challenge performs preliminary verification of client intent before data enters the processing pipeline. By requiring computational effort upfront, the system filters out many malicious transmissions at the gateway level. This preliminary action prevents wasteful processing of fake data downstream, preserving actual productivity while reducing resource consumption from malicious activity.
Data Source
AI summary
A method for implementing a proof-of-work challenge for transmission of data to a non-authenticated gateway is disclosed. The method includes receiving, by the gateway and from a device, a challenge request; and transmitting a proof-of-work challenge to the device. The method further includes receiving, from the device, a solution to the challenge, wherein the solution to the challenge accompanies data. The method further includes verifying a validity of the solution to the challenge; and storing and/or processing the data, responsive at least in part to the solution being valid for the challenge. In an example, the solution to the challenge is to be derived by the device, without an intervention by a user of the device. In an example, the challenge request and the solution to the challenge are received from a library that is packaged with a mobile application being executed within the device.