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Ecdat (version 0.2-9)

breaches: Cyber Security Breaches

Description

data.frame of cyber security breaches involving health care records of 500 or more humans reported to the U.S. Department of Health and Human Services (HHS) as of June 27, 2014.

Usage

data(breaches)

Arguments

Format

A data.frame with 1055 observations on the following 24 variables:
Number
integer record number in the HHS data base
Name_of_Covered_Entity
factor giving the name of the entity experiencing the breach
State
Factor giving the 2-letter code of the state where the breach occurred. This has 52 levels for the 50 states plus the District of Columbia (DC) and Puerto Rico (PR).
Business_Associate_Involved
Factor giving the name of a subcontractor (or blank) associated with the breach.
Individuals_Affected
integer number of humans whose records were compromised in the breach. This is 500 or greater; U.S. law requires reports of breaches involving 500 or more records but not of breaches involving fewer.
Date_of_Breach
character vector giving the date or date range of the breach. Recodes as Dates in breach_start and breach_end.
Type_of_Breach
factor with 29 levels giving the type of breach (e.g., "Theft" vs., "Unauthorized Access/Disclosure", etc.)
Location_of_Breached_Information
factor with 41 levels coding the location from which the breach occurred (e.g., "Paper", "Laptop", etc.)
Date_Posted_or_Updated
Date the information was posted to the HHS data base or last updated.
Summary
character vector of a summary of the incident.
breach_start
Date of the start of the incident = first date given in Date_of_Breach above.
breach_end Date of the end of the incident or NA if only one date is given in Date_of_Breach above. year integer giving the year of the breach

Source

U.S. Department of Health and Human Services: Health Information Privacy: Breaches Affecting 500 or More Individuals

Details

The data primarily consists of breaches that occurred from 2010 through early 2014 when the extract was taken. However, a few breaches are recorded including 1 from 1997, 8 from 2002-2007, 13 from 2008 and 56 from 2009. The numbers of breaches from 2010 - 2014 are 211, 229, 227, 254 and 56, respectively. (A chi-square test for equality of the counts from 2010 through 2013 is 4.11, which with 3 degrees of freedom has a significance probability of 0.25. Thus, even though the lowest number is the first and the largest count is the last, the apparent trend is not statistically significant under the usual assumption of independent Poisson trials.) The following corrections were made to the file:
Number Name of Covered Entity Corrections
45 Wyoming Department of Health
Cause of breach was missing. Added "Unauthorized
Access / Disclosure" per smartbreif.com/03/29/10 55 Reliant Rehabilitation Hospital North
Cause of breach was missing. Added "Unauthorized

Houston
Access / Disclosure" per Dissent. "Two Breaches
Involving Unauthorized Access Lead to Notification."
PHIprivacy.net. N.p., 20 Apr. 2010.

123

Aetna
Cause of breach was missing. Added Improper
disposal per Aetna.com/news/newsReleases/2010/0630 157 Mayo Clinic
Cause of breach was missing. Added Unauthorized
Access/Disclosure per Anderson, Howard. "Mayo Fires
"Employees in 2 Incidents: Both Involved
Unauthorized Access to Records."
Data Breach Today. N.p., 4 Oct. 2010 341 Saint Barnabas MedicL Center
Misspelled "Saint Barnabas Medical Center" 347 Americar Health Medicare
Misspelled "American Health Medicare" 484 Lake Granbury Medicl Ceter
Misspelled "Lake Granbury Medical Center" 782 See list of Practices under Item 9
Replaced name as "Cogent Healthcare, Inc." checked
from XML and web documents 805 Dermatology Associates of Tallahassee
Had 00/00/0000 on breach date. This was crossed
check to determine that it was Sept 4, 2013 with 916 records 815 Santa Clara Valley Medical Center
Mistype breach year as 09/14/2913 corrected as 09/14/2013 961 Valley View Hosptial Association
Misspelled "Valley View Hospital Association"

1034

Bio-Reference Laboratories, Inc.
Date changed from 00/00/000 to 2/02/2014 as
subsequently determined. Number Name of Covered Entity

See Also

HHSCyberSecurityBreaches for a version of these data downloaded more recently. This newer version includes changes in reporting and in the variables included in the data.frame.

Examples

Run this code
data(breaches)
quantile(breaches$Individuals_Affected)
# confirm that the smallest number is 500 
# -- and the largest is 4.9e6
# ... and there are no NAs

dDays <- with(breaches, breach_end - breach_start)
quantile(dDays, na.rm=TRUE)
# confirm that breach_end is NA or is later than 
# breach_start 

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