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Data dredging (also known as data snooping or p-hacking) [1] [a] is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives.
The health care industry is affected by ransomware attacks more than any other critical infrastructure sector, according to a 2023 internet crime report by the FBI.
The number of impacted people was posted on a list of data breaches maintained by the U.S. Department of Health & Human Services' office for civil rights. ... -The February hack at UnitedHealth's ...
The use of superhero names is also a hallmark of Chinese-linked hacking groups. [4] The House Committee on Oversight and Government Reform report on the breach strongly suggested the attackers were state actors due to the use of a very specific and highly developed piece of malware. [8]
Check your credit report – If a hacker sets up a new account in your name, chances are that you won’t notice until you check your credit history. If you detect suspicious activity, contact the ...
HARKing (hypothesizing after the results are known) is an acronym coined by social psychologist Norbert Kerr [1] that refers to the questionable research practice of "presenting a post hoc hypothesis in the introduction of a research report as if it were an a priori hypothesis".
What hackers can do. The biggest risk associated with hacking is stolen data. If a hacker gains unauthorized access to sensitive files, he could copy those files onto his own machine and then sell ...
According to Bostrom, there are two defined major categories of information hazard. The first is the "adversarial hazard" [2] which is where some information can be purposefully used by a bad actor to hurt others. The other category is where the harm is not purposeful, but merely an unintended consequence that harms the person who learns it.