Decoy Data Distribution in P2P Networks

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for discouraging unauthorized transfers of protected works over Peer to Peer networks are ineffective as they can be easily detected and eliminated by the network, leading to unreliable transmission.

Innovation Solution

A system that generates and distributes decoy data within files of protected works, making it harder to detect and eliminate decoy content, thereby encouraging authorized transfers by integrating decoy data generation into P2P software, which alters received data and stores it with identification information for distribution across the network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If decoy content is introduced into P2P networks to discourage unauthorized transfers, then the effectiveness of discouraging unauthorized transfers improves, but the network reliability deteriorates due to detection and elimination of decoy content

Engineering Contradiction:
Improvenetwork reliabilityVSAvoidunauthorized transfers
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent segments the file identification process by separating the visual/file name identification from the actual file content verification. decoy files are segmented to have identical identification data (file names, icons, metadata) as legitimate files, making them indistinguishable at the identification level while maintaining different actual content

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces hash code verification as an intermediary mechanism between file transfer and usage. Instead of relying solely on visual identification, the system uses cryptographic hash codes to verify file integrity and authenticity, creating an intermediate verification layer that prevents decoy file acceptance

Inventive Principle:
Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If aggressive spoofing is used to flood the network with damaged files, then the discouragement of unauthorized transfers improves, but the detectability of decoy content increases making elimination easier

Engineering Contradiction:
Improvediscouragement of unauthorized transfersVSAvoiddetection of decoy content
Core Design Contradiction:
Object-affected harmful factorsVSDifficulty of detecting and measuring

Solution Approach 1:

The patent creates perfect copies of legitimate file identification data for decoy files. The decoy files are copied not just in appearance but in all identification attributes including file names, icons, metadata, and other identifying characteristics, making them exact visual copies that are indistinguishable from legitimate files without content verification

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent changes the verification parameter from visual identification to cryptographic hash code verification. By shifting the detection parameter from what can be seen (file name, icon) to what must be computed (hash code of actual content), the system makes detection much more difficult for decoy files while maintaining ease of verification for legitimate files

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8130746B2System for distributing decoy content in a peer to peer network
Publication Date: 2012.03.06 AUDIBLE MAGIC CORP
  • US8130746B2 patent drawing
  • US8130746B2 patent drawing
  • US8130746B2 patent drawing

AI summary

A system for generating and distributing decoy data for a work in a Peer to Peer network. The system is included in software providing a Peer to Peer connection for a processing system. The processing system receives data for a work over a Peer to Peer connection. The system then determines whether, the work is a protected work. If the work is a protected work, the system insert decoy data into the data of the work and stores the data of the work including the decoy data in memory. The data of the work including the decoy data is then made available for transfer over the Peer to Peer network by the processing system.