Communication Partner Malignancy Calculation via Temporal Listing Patterns

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Solution Overview

Problem

Current methods for detecting malignant communication partners in cyberattacks are inefficient, as they rely on manual analysis and blacklisting, which is time-consuming and costly, and fail to accurately identify temporarily used or preparatory malicious partners.

Innovation Solution

A communication partner malignancy calculation device and method that automatically calculates the malignancy of a subject communication partner by inputting known malignant and benign partners, extracting characteristic information on listing changes over time, and using supervised machine learning to determine malignancy without actual communication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis and blacklisting methods are used to identify malignant communication partners, then detection accuracy can be maintained through human expertise, but time consumption and operational costs increase significantly

Engineering Contradiction:

Improvedetection accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automated self-service by having the malignancy calculation device independently perform detection, analysis, and identification of malignant communication partners without requiring manual human intervention. The device automatically calculates malignancy scores based on communication patterns and behaviors, replacing manual analysis with autonomous computational processes that maintain high detection accuracy while eliminating time-consuming human operations

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual human analysis with an automated computational system. The malignancy calculation device uses algorithmic processing to analyze communication patterns, calculate malignancy scores, and identify malicious partners, substituting human expertise with automated mechanical computation that operates faster and more consistently without manual intervention

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If blacklisting methods are used to identify malignant communication partners, then known malicious partners can be blocked, but temporarily used or preparatory malicious partners cannot be detected

Engineering Contradiction:

Improvedetection reliabilityVSAvoiddetection coverage

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary action by calculating malignancy scores and identifying potentially malicious communication partners before they are actually used for attacks. By analyzing communication patterns and behaviors in advance, the system can detect preparatory malicious activities and temporarily used partners that traditional blacklisting methods miss, enabling proactive security measures rather than reactive blocking

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements dynamics by using a flexible malignancy calculation system that adapts to changing communication patterns. Unlike static blacklists, the system continuously analyzes communication behaviors and updates malignancy scores dynamically, allowing it to detect newly emerged malicious partners and adapt to evolving attack methods, thereby improving both reliability and adaptability

Inventive Principle:

Principle #15Dynamics

3Productivity

If automated systems are implemented to identify malignant communication partners, then processing speed and efficiency improve, but accuracy may decrease without human expertise

Engineering Contradiction:

Improveprocessing efficiencyVSAvoiddetection accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system implements feedback mechanisms where the malignancy calculation results are continuously refined based on detected patterns and outcomes. The automated device learns from communication patterns and adjusts its calculation algorithms, incorporating feedback loops that improve detection accuracy over time while maintaining high processing efficiency. This allows the system to achieve both automated speed and expert-level accuracy through iterative learning

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10701085B2Communication partner malignancy calculation device, communication partner malignancy calculation method, and communication partner malignancy calculation program

Publication Date: 2020.06.30 NIPPON TELEGRAPH & TELEPHONE CORP

AI summary

Communication partners known to be malignant or benign are input to a known communication partner input unit, a subject communication partner whose malignancy is to be calculated is input to a subject communication partner input unit, a characteristic extractor extracts changes over time in whether the known communication partners and the subject communication partner are listed at a past given time point on a malignancy communication partner list and a benign communication partner list, and a malignancy calculator calculates malignancy of the subject communication partner on the basis of the characteristic information about the known communication partners and the subject communication partner.