Anonymizing Gateway Traffic Regulation via Centralized Abuse Prevention
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Solution Overview
Problem
Existing systems fail to effectively prevent abusive behavior originating from anonymizing gateways without blocking all traffic, as they cannot identify and isolate the responsible devices or users effectively.
Innovation Solution
A centralized abuse prevention node aggregates notifications of undesired communications from anonymizing gateways, identifies the responsible nodes or users, and sends instructions to prevent further abusive behavior without blocking all traffic, allowing for targeted measures to be taken.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If all traffic through an anonymizing gateway is blocked to prevent abusive behavior, then abusive communications are prevented, but legitimate traffic is also blocked causing loss of network access for users
Solution Approach 1:
The system segments traffic management by collecting and analyzing individual notification data to distinguish between abusive and legitimate traffic patterns. Instead of blocking all traffic from a gateway, the system identifies specific abusive communications and targets only those, allowing legitimate traffic to continue uninterrupted.
Solution Approach 2:
The system applies different handling qualities to different traffic types. By analyzing notification data characteristics, the system identifies abusive communications and applies blocking only to those specific instances, while maintaining normal service quality for legitimate traffic from the same gateway.
2Reliability
If anonymizing gateways are used to protect user identities, then user privacy is improved, but the ability to identify and prevent abusive behavior deteriorates
Solution Approach 1:
The notification collection node acts as an intermediary between the anonymizing gateway and the content provider. It receives notifications that include identifying information, aggregates this data, and facilitates targeted prevention measures without compromising the anonymity provided by the gateway for legitimate traffic.
Solution Approach 2:
The system implements feedback loops where content providers send notifications about abusive behavior to the notification collection node. This feedback mechanism enables continuous monitoring and learning, allowing the system to identify patterns and improve its ability to detect abusive behavior while maintaining user privacy.
3Adaptability or versatility
If notifications of abusive behavior are aggregated and analyzed to identify responsible nodes, then targeted prevention is enabled, but system complexity increases
Solution Approach 1:
The notification collection node is designed as a multi-functional component that performs aggregation, analysis, and coordination of prevention measures. This universal node handles various tasks including collecting notifications from multiple content providers, analyzing patterns across different notifications, and coordinating with both gateways and content providers, thereby reducing overall system complexity.
Data Source
AI summary
A medium and method are provided for preventing undesired data from being communicated through a network. In one aspect, the method comprises the method comprises receiving from an anonymizing device an indication of an undesired data communication and an identification of one or more of a computing device responsible for said communication and a user responsible for said communication; on the basis of specified criteria, determining whether said indication is valid; when said indication is valid, incrementing a cumulative instance count that sums a number of instances associated with one or more of the computing device and the user; and, when said cumulative count exceeds a predetermined threshold number of instances, implementing a measure to prevent a further undesired data communication from said computing device.