False Positive | BestHub

Top Architect

Nov 27, 2022 · Fundamentals

Understanding Bloom Filters and Their Use in Preventing Cache Penetration

This article explains the problem of cache penetration, introduces Bloom filters as a space‑efficient probabilistic data structure to block invalid queries, demonstrates implementations using Guava and Redis with Java code, analyzes false‑positive rates, and discusses practical application scenarios and performance testing results.

Bloom FilterFalse PositiveGuava

0 likes · 17 min read

Understanding Bloom Filters and Their Use in Preventing Cache Penetration

Continuous Delivery 2.0

Jun 28, 2022 · Product Management

Why Repeating the Same A/B Test Multiple Times Is Wrong and How to Conduct Reliable Experiments

Repeating the same A/B test inflates false‑positive rates, creates inconsistent results, and hampers decision‑making, so a single well‑designed experiment with proper metrics, traffic allocation, analysis, and decision steps is essential for reliable product evaluation.

A/B TestingFalse Positiveexperiment design

0 likes · 6 min read

Why Repeating the Same A/B Test Multiple Times Is Wrong and How to Conduct Reliable Experiments

IT Services Circle

Mar 20, 2022 · Information Security

Microsoft Defender for Endpoint Misidentifies Office Updates as Ransomware

Microsoft Defender for Endpoint mistakenly flagged the Office update process (OfficeSvcMgr.exe) as ransomware, triggering alerts for administrators; Microsoft acknowledged the false positive, explained it stemmed from a code issue, and has since released a fix to prevent further misdetections.

False PositiveMicrosoft DefenderOffice Update

0 likes · 2 min read

Microsoft Defender for Endpoint Misidentifies Office Updates as Ransomware

Tencent Cloud Developer

Jul 21, 2021 · Big Data

Bloom Filter: Introduction, Theory, Construction, Query, and Applications

The article explains Bloom filters—a probabilistic, space‑efficient data structure using multiple hash functions on a bit array to answer set‑membership queries with controllable false‑positive rates, detailing their construction, query process, optimal parameters, and common uses such as URL deduplication, cache protection, and spam filtering.

Big DataBloom FilterCache Optimization

0 likes · 8 min read

Bloom Filter: Introduction, Theory, Construction, Query, and Applications

DevOps Cloud Academy

Nov 24, 2019 · Operations

Implementing Automated Interface Testing with Jenkins, JMeter, and Groovy to Identify and Count False Positives

This guide explains how to build an automated interface‑testing pipeline using Jenkins, Ant, JMeter and Groovy, generate test reports, filter out false‑positive failures caused by network or environment issues, let users confirm them in Jenkins, and recalculate success, failure and false‑positive rates.

Automated TestingFalse PositiveGroovy

0 likes · 8 min read

Implementing Automated Interface Testing with Jenkins, JMeter, and Groovy to Identify and Count False Positives