Electronic Message Response System Using P2P Origin Tracking
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Solution Overview
Problem
The rise of electronic messaging has been accompanied by issues such as spam, viruses, spyware, adware, and botnets, which are difficult to track and remove due to anonymous origins and forged headers, and existing laws are challenging to enforce effectively.
Innovation Solution
A system and method that determines the relevance of incoming electronic messages, parses message origination information, and responds by contacting the sending web server, writing logs to request no further messages, and identifies and removes malicious software, using user profiles and a peer-to-peer file system to track and share information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated systems are used to parse and respond to electronic messages, then productivity is improved, but device complexity increases
Solution Approach 1:
The system divides message processing into distinct modular components: message reception module, parsing module that extracts origination information, relevance determination module using user profiles, and response execution module. This segmentation allows each component to handle specific tasks independently, improving overall processing efficiency while managing complexity through modularity.
Solution Approach 2:
The system introduces intermediary elements including user profiles that store relevance criteria, peer-to-peer file system intermediaries for sharing message origin information, and automated response mechanisms that mediate between incoming messages and user actions. These intermediaries enable automated processing without requiring direct user intervention for each message.
2Measurement precision
If comprehensive message tracking and analysis is implemented, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by maintaining user profiles with pre-defined relevance criteria and message origin blacklists before new messages arrive. When a message is received, the system immediately compares it against these pre-established criteria rather than analyzing everything from scratch, enabling fast relevance determination while maintaining accurate tracking of message origins.
Solution Approach 2:
The system replaces manual message analysis with automated computational methods including pattern recognition algorithms, header parsing routines, and peer-to-peer network queries. These automated mechanical processes rapidly extract and verify message origination information without requiring human time investment, achieving both precision and speed.
3Ease of operation
If automated response systems are deployed, then ease of operation is improved, but object-generated harmful factors increase
Solution Approach 1:
The system implements feedback mechanisms where user profiles are dynamically updated based on user interactions with automated responses. When users review or modify auto-generated responses, the system learns from this feedback and adjusts future response generation. This feedback loop ensures ease of operation while preventing harmful unwanted responses through continuous refinement.
Solution Approach 2:
The system applies preliminary anti-action by implementing multiple verification steps before sending automated responses: checking message relevance against user profiles, verifying sender authenticity through peer-to-peer network checks, and filtering out potential spam or malicious messages. This preliminary validation prevents harmful responses from being generated in the first place.
Data Source
AI summary
Provided is a method, system and software for responding to an incoming electronic message, including determining whether the incoming electronic message is relevant or irrelevant to a user, and if the incoming electronic message is irrelevant to the user, parsing the incoming electronic message for message origination information and replying to the message using the message origination information.