Client-Side Ad Creative Signature Detection

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Solution Overview

Problem

Conventional solutions are inadequate in detecting anomalous advertisements early and efficiently, as they often fail to meet targeting constraints, have impractically high scanning frequencies for low-frequency malware probes, and struggle to scan the large number of ad creatives served through ad networks, leading to delayed detection and potential malware delivery.

Innovation Solution

Implementing client-side functionality to capture and analyze ad creative information, generating signatures using cryptographic hash functions, and transmitting these to an ad network for comparison against stored data to identify anomalous advertisements, thereby enabling earlier and more effective detection of malware-related risks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If server-side scanning is used to detect anomalous advertisements, then detection capability is provided, but scanning frequency must be impractically high for low-frequency malware probes, leading to excessive resource consumption

Engineering Contradiction:
Improvedetection capabilityVSAvoidresource consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent implements client-side functionality that enables user devices to autonomously capture ad creative information and generate signatures without requiring intensive server-side scanning. Each device performs local detection operations, eliminating the need for frequent server-side scans and reducing overall system resource consumption while maintaining detection reliability.

Inventive Principle:
Principle #25Self-service

2Reliability

If server-side scanning is used to detect anomalous advertisements, then detection capability is provided, but latency is high and false measurements occur

Engineering Contradiction:
Improvedetection capabilityVSAvoiddetection latency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs ad creative information capture and signature generation on the client side before the advertisement is fully rendered or interacted with. This preliminary detection action occurs at the source, eliminating the time delay associated with server-side scanning and reducing detection latency while maintaining accurate detection capability.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If conventional scanning methods are used, then detection is performed, but double counting of impressions occurs, reducing accuracy

Engineering Contradiction:
Improvedetection coverageVSAvoidimpression counting accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent divides the detection function into client-side and server-side components. The client-side functionality captures ad creative information and generates signatures locally, while the server receives and compares these signatures. This segmentation ensures that each impression is counted and detected exactly once at the source, eliminating double counting and improving measurement precision.

Inventive Principle:
Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for the early and efficient detection of anomalous advertisements, reducing latency and false measurements, while avoiding double counting of impressions and improving the accuracy of malware identification, thus mitigating potential malware risks.

Implementation Method 1

generating signatures using cryptographic hash functions

Methodology Applied
Scientific EffectCryptographic hash function:

Data Source

PatentUS9578044B1Detection of anomalous advertising content
Publication Date: 2017.02.21 AMAZON TECH INC
  • US9578044B1 patent drawing
  • US9578044B1 patent drawing
  • US9578044B1 patent drawing

AI summary

Systems, methods, and computer-readable media are disclosed for detecting anomalous advertising content and taking or directing one or more actions to be taken to mitigate risk associated with anomalous advertising content. The anomalous advertising content indicates a deviation from an expected state of the advertising content. Various measures may be taken to determine whether the anomalous advertising content is reflective of malware.