Fuzzed: meaning, definitions and examples

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fuzzed

 

[ fสŒzd ]

Verb
Context #1 | Verb

data processing

Fuzzed refers to the process of adding noise or altering input data in a way that maintains its structure but reduces its accuracy. This technique is often applied in the context of software testing, particularly in fuzz testing, where inputs are modified to discover vulnerabilities. The goal is to ensure that systems are resilient against unexpected or corrupted data. By fuzzing data, testers can identify potential errors or weaknesses that might not be apparent through standard testing methods.

Synonyms

blurred, distorted, muddled, noised.

Examples of usage

  • The software was fuzzed to detect security flaws.
  • Researchers fuzzed the algorithm to evaluate its robustness.
  • He fuzzed the images before sending them for analysis.

Translations

Translations of the word "fuzzed" in other languages:

๐Ÿ‡ต๐Ÿ‡น desfocado

๐Ÿ‡ฎ๐Ÿ‡ณ เคงเฅเค‚เคงเคฒเคพ

๐Ÿ‡ฉ๐Ÿ‡ช unscharf

๐Ÿ‡ฎ๐Ÿ‡ฉ kabur

๐Ÿ‡บ๐Ÿ‡ฆ ั€ะพะทะผะธั‚ะธะน

๐Ÿ‡ต๐Ÿ‡ฑ rozmyty

๐Ÿ‡ฏ๐Ÿ‡ต ใผใ‚„ใ‘ใŸ

๐Ÿ‡ซ๐Ÿ‡ท flou

๐Ÿ‡ช๐Ÿ‡ธ borroso

๐Ÿ‡น๐Ÿ‡ท bulanฤฑk

๐Ÿ‡ฐ๐Ÿ‡ท ํ๋ฆฟํ•œ

๐Ÿ‡ธ๐Ÿ‡ฆ ุบุงู…ุถ

๐Ÿ‡จ๐Ÿ‡ฟ rozmazanรฝ

๐Ÿ‡ธ๐Ÿ‡ฐ rozmazanรฝ

๐Ÿ‡จ๐Ÿ‡ณ ๆจก็ณŠ็š„

๐Ÿ‡ธ๐Ÿ‡ฎ zamegljen

๐Ÿ‡ฎ๐Ÿ‡ธ รณskรฝrt

๐Ÿ‡ฐ๐Ÿ‡ฟ ะฑาฑะปั‹าฃา“ั‹ั€

๐Ÿ‡ฌ๐Ÿ‡ช แƒ‘แƒฃแƒ แƒฃแƒกแƒฃแƒšแƒ˜

๐Ÿ‡ฆ๐Ÿ‡ฟ bulanฤฑq

๐Ÿ‡ฒ๐Ÿ‡ฝ borroso

Etymology

The term 'fuzzed' is derived from the word 'fuzz', which itself comes from early 19th century American English. It originally referred to something that was soft, blurred, or indistinct, resembling the texture of fuzz on a surface. In the context of technology, particularly in computer science, 'fuzzing' emerged in the late 1980s and early 1990s as a method for testing software. Researchers began to use fuzzed data to uncover bugs and vulnerabilities in computer systems, leading to the broader adoption of fuzz testing as a crucial technique in software security audit procedures. Over the years, the method has evolved, but the core concept remains the same: altering data in a controlled manner to provoke unexpected behavior in software.