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  2. False positives and false negatives - Wikipedia

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

    Complementarily, the false negative rate (FNR) is the proportion of positives which yield negative test outcomes with the test, i.e., the conditional probability of a negative test result given that the condition being looked for is present. In statistical hypothesis testing, this fraction is given the letter β.

  3. 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 ...

  4. 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. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.

  5. Threat actor - Wikipedia

    en.wikipedia.org/wiki/Threat_actor

    Canada - Canadian Centre for Cyber Security (CCCS) Canada defines threat actors as states, groups, or individuals who aim to cause harm by exploiting a vulnerability with malicious intent. A threat actor must be trying to gain access to information systems to access or alter data, devices, systems, or networks.

  6. Computer crime countermeasures - Wikipedia

    en.wikipedia.org/wiki/Computer_crime_countermeasures

    Malicious code is a broad category that encompasses a number of threats to cyber-security. In essence it is any “hardware, software, or firmware that is intentionally included or inserted in a system for a harmful purpose.” [6] Commonly referred to as malware it includes computer viruses, worms, Trojan horses, keyloggers, BOTs, Rootkits, and any software security exploits.

  7. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    The intersect operation satisfies a weaker property: the false positive probability in the resulting Bloom filter is at most the false-positive probability in one of the constituent Bloom filters, but may be larger than the false positive probability in the Bloom filter created from scratch using the intersection of the two sets.

  8. Identify legitimate AOL websites, requests, and communications

    help.aol.com/articles/identify-legitimate-aol...

    Best practices • Don't enable the "use less secure apps" feature. • Don't reply to any SMS request asking for a verification code. • Don't respond to unsolicited emails or requests to send money.

  9. Vulnerability (computer security) - Wikipedia

    en.wikipedia.org/wiki/Vulnerability_(computer...

    A patch can have negative effects on the functionality of software [55] and users may need to test the patch to confirm functionality and compatibility. [57] Larger organizations may fail to identify and patch all dependencies, while smaller enterprises and personal users may not install patches. [ 55 ]