Recommendation Server for IoT Evidence Collection
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Solution Overview
Problem
Investigations of IoT-related crimes face challenges in efficiently identifying and collecting relevant evidence from the vast amount of IoT device logs, as existing methods lack a systematic approach to recommend additional evidence based on past successful prosecutions.
Innovation Solution
A recommendation server system that analyzes IoT device logs from crime scenes and compares them to past successful prosecutions, providing investigators with targeted recommendations for additional evidence collection by identifying missing evidence from past cases with high weighted importance scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If investigators manually review all IoT device logs to identify relevant evidence, then evidence collection completeness may improve, but investigation time and efficiency deteriorate
Solution Approach 1:
The system performs preliminary action by pre-analyzing IoT device logs and generating evidence recommendations before the investigator needs to review them. The recommendation server proactively identifies potential evidence items based on past successful prosecutions and presents them to investigators, eliminating the need for manual review of all logs from scratch.
Solution Approach 2:
The recommendation server acts as an intermediary between the vast amount of IoT device logs and the investigator. It processes and filters the logs, comparing them against historical data from past prosecutions to generate targeted recommendations, thereby reducing the investigator's workload while maintaining evidence collection completeness.
2Reliability
If investigators review all available IoT logs without guidance, then evidence comprehensiveness may improve, but productivity deteriorates
Solution Approach 1:
The system implements feedback by continuously comparing current IoT device logs against historical evidence from successful prosecutions. The recommendation server provides feedback to investigators by highlighting evidence items that were successful in past cases but may be missing from the current investigation, enabling iterative improvement of evidence collection.
Solution Approach 2:
The recommendation server performs preliminary analysis of IoT logs and generates prioritized evidence recommendations before the investigator begins their review process. This pre-processing action maintains evidence comprehensiveness while significantly improving productivity by presenting only the most relevant findings.
3Measurement precision
If the system analyzes all IoT device logs to provide comprehensive recommendations, then recommendation accuracy may improve, but processing time and system complexity increase
Solution Approach 1:
The system extracts only the relevant information from IoT device logs by comparing them against historical data from past prosecutions. The recommendation server identifies and extracts evidence items that have been successful in previous cases, filtering out irrelevant information and focusing analysis only on potentially useful evidence.
Solution Approach 2:
The system applies partial action by analyzing only the portions of IoT device logs that are most likely to contain relevant evidence, rather than processing every detail of all logs. The recommendation server prioritizes analysis based on historical success patterns, achieving high recommendation accuracy while reducing processing time.
Data Source
AI summary
A method and apparatus for providing recommendations for evidence collection is provided herein. During operation a recommendation server is provided with evidence collected, including IoT device logs of events that can be used as evidence to investigate a particular crime. In response, the recommendation server will provide the investigator recommendations to search for additional evidence of events and objects that could potentially be used in a successful prosecution of the crime. The recommendations provided will be based on events that were used as evidence in past successful prosecutions of similar crimes.