Wireless Behavior Analysis for Suspect Identification

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Solution Overview

Problem

Investigating wireless communication behavior to identify suspects is challenging when individuals use disposable or pre-paid wireless terminals or swap SIM cards, leading to difficulties in tracing identities and potentially resulting in false positives, which can harm innocent individuals and allow true perpetrators to evade detection.

Innovation Solution

A behavior analysis system that analyzes telecommunications-event records with finer resolution location data, beyond traditional call-detail records, to identify patterns of behavior and infer similarities or identities between users, even when the users are unknown or using different terminals/SIM cards, by comparing patterns of call-related and location attributes over time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If investigators use traditional call-detail records to identify suspects, then the investigation process is simple, but the ability to identify suspects using disposable terminals or SIM cards is lost

Engineering Contradiction:

Improvesuspect identification accuracyVSAvoiduser identity traceability

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system creates behavioral fingerprints that copy the characteristic patterns of user behavior across different terminals and SIM cards. Instead of relying on terminal identity, the system captures and analyzes behavioral copies (calling patterns, location patterns, text message patterns) that remain consistent regardless of which terminal or SIM card is used, enabling identification of the same user through different identities.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The system transforms the identification approach by changing from terminal-based parameters (IMSI, phone number) to behavior-based parameters (calling frequency, location patterns, message timing). This parameter transformation allows the system to identify users through their behavioral characteristics rather than their terminal identifiers, overcoming the problem of disposable terminals and SIM card swapping.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If investigators manually analyze calling records to identify suspects, then the analysis is thorough, but the time and resources required increase significantly

Engineering Contradiction:

Improvebehavioral pattern analysis accuracyVSAvoidinvestigation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system implements self-service by automatically generating behavioral fingerprints and comparing them across terminals without requiring manual investigator intervention for each comparison. The automated fingerprinting system performs the analytical work of identifying behavioral patterns and matching them across different users and terminals, significantly reducing the time and resources required while maintaining thorough analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-computing and storing behavioral fingerprints for all users in the database before investigations begin. When a suspect needs to be identified, the system can quickly query and compare against pre-analyzed behavioral data rather than performing manual analysis from scratch, dramatically reducing investigation time while maintaining analytical depth.

Inventive Principle:

Principle #10Preliminary action

3Object-affected harmful factors

If investigators use disposable terminals and SIM cards to avoid detection, then the user's anonymity is protected, but the ability to trace the user is lost

Engineering Contradiction:

Improveuser anonymity protectionVSAvoiduser identification data

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

Inventive Principle:

Principle #26Copying

4Measurement precision

If the system analyzes detailed telecommunications-event records with location data, then the precision of behavior matching improves, but the complexity of data processing increases

Engineering Contradiction:

Improvebehavior pattern matching precisionVSAvoiddata processing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex analysis task into distinct behavioral categories (calling behavior, location behavior, text message behavior) and processes each segment separately to create specific behavioral fingerprints. This segmentation allows the system to handle detailed location data and telecommunications events in manageable pieces, reducing processing complexity while maintaining high precision in matching overall behavioral patterns.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS9179259B2Recognizing unknown actors based on wireless behavior

Publication Date: 2015.11.03 POLARIS WIRELESS INC

AI summary

An illustrative behavior analysis system and a corresponding method are designed to analyze telecommunications-event records and other relevant records associated with wireless terminals to infer whether a wireless user's pattern of behavior is substantially similar or even identical to the pattern of behavior of another user, possibly a known actor. A pattern of behavior typically comprises call-related and location attributes over a period of time. Accordingly, the illustrative embodiment infers an identity or a substantial similarity as between two seemingly distinct users of wireless terminals, based on: (i) how precisely a candidate's pattern of behavior matches a pre-defined pattern of behavior, and/or (ii) how precisely a candidate's pattern of behavior matches another candidate's pattern of behavior.