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  2. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  3. Trojan horse (computing) - Wikipedia

    en.wikipedia.org/wiki/Trojan_horse_(computing)

    v. t. e. In computing, a Trojan horse (or simply Trojan) is any malware that misleads users of its true intent by disguising itself as a standard program. The term is derived from the ancient Greek story of the deceptive Trojan Horse that led to the fall of the city of Troy. [1]

  4. Antivirus software - Wikipedia

    en.wikipedia.org/wiki/Antivirus_software

    Antivirus software (abbreviated to AV software), also known as anti-malware, is a computer program used to prevent, detect, and remove malware. Antivirus software was originally developed to detect and remove computer viruses, hence the name. However, with the proliferation of other malware, antivirus software started to protect against other ...

  5. Computer virus - Wikipedia

    en.wikipedia.org/wiki/Computer_virus

    This is an accepted version of this page This is the latest accepted revision, reviewed on 5 November 2024. Computer program that modifies other programs to replicate itself and spread Hex dump of the Brain virus, generally regarded as the first computer virus for the IBM Personal Computer (IBM PC) and compatibles A computer virus is a type of malware that, when executed, replicates itself by ...

  6. False positive rate - Wikipedia

    en.wikipedia.org/wiki/False_positive_rate

    The false positive rate is = +. where is the number of false positives, is the number of true negatives and = + is the total number of ground truth negatives.. The level of significance that is used to test each hypothesis is set based on the form of inference (simultaneous inference vs. selective inference) and its supporting criteria (for example FWER or FDR), that were pre-determined by the ...

  7. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. For example: a guilty person may be not convicted.

  8. Threat (computer security) - Wikipedia

    en.wikipedia.org/wiki/Threat_(computer_security)

    In computer security, a threat is a potential negative action or event enabled by a vulnerability that results in an unwanted impact to a computer system or application.. A threat can be either a negative "intentional" event (i.e. hacking: an individual cracker or a criminal organization) or an "accidental" negative event (e.g. the possibility of a computer malfunctioning, or the possibility ...

  9. Social engineering (security) - Wikipedia

    en.wikipedia.org/wiki/Social_engineering_(security)

    Social engineering (security) In the context of information security, social engineering is the psychological manipulation of people into performing actions or divulging confidential information. A type of confidence trick for the purpose of information gathering, fraud, or system access, it differs from a traditional "con" in the sense that it ...