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Bùi Nhật Dương đang tìm kiếm từ khóa Which one of the following identifies the primary purpose of information classification processes? được Update vào lúc : 2022-08-26 11:50:08 . Với phương châm chia sẻ Bí kíp về trong nội dung bài viết một cách Chi Tiết 2022. Nếu sau khi đọc tài liệu vẫn ko hiểu thì hoàn toàn có thể lại Comment ở cuối bài để Mình lý giải và hướng dẫn lại nha.Guidelines for Data Classification
This document contains the following sections:
Nội dung chính- Guidelines for Data ClassificationDefinitionsData ClassificationData CollectionsReclassificationCalculating ClassificationAppendix A - Predefined Types of Restricted InformationRevision HistoryWhat is the primary purpose of information classification?What is the primary purpose of data classification quizlet?What is the primary purpose of classifying data during the implementation process?What are the 4 classifications of information?
- PurposeApplies ToDefinitionsData ClassificationData CollectionsReclassificationCalculating ClassificationAppendixRevision History
View the Data Classification Workflow to determine how to classify data. You can also visit an accessible version of the Data Classification Workflow.
Purpose
The purpose of this Guideline is to establish a framework for classifying institutional data based on its level of sensitivity, value and criticality to the University as required by the University's Information Security Policy. Classification of data will aid in determining baseline security controls for the protection of data.
Applies To
This Policy applies to all faculty, staff and third-party Agents of the University as well as any other University affiliate who is authorized to access Institutional Data. In particular, this Guideline applies to those who are responsible for classifying and protecting Institutional Data, as defined by the Information Security Roles and Responsibilities.
Definitions
Confidential Data is a generalized term that typically represents data classified as Restricted, according to the data classification scheme defined in this Guideline. This term is often used interchangeably with sensitive data.
A Data Steward is a senior-level employee of the University who oversees the lifecycle of one or more sets of Institutional Data. See the Information Security Roles and Responsibilities for more information.
Institutional Data is defined as all data owned or licensed by the University.
Non-public Information is defined as any information that is classified as Private or Restricted Information according to the data classification scheme defined in this Guideline.
Sensitive Data is a generalized term that typically represents data classified as Restricted, according to the data classification scheme defined in this Guideline. This term is often used interchangeably with confidential data.
Data Classification
Data classification, in the context of information security, is the classification of data based on its level of sensitivity and the impact to the University should that data be disclosed, altered or destroyed without authorization. The classification of data helps determine what baseline security controls are appropriate for safeguarding that data. All institutional data should be classified into one of three sensitivity levels, or classifications:
Classification Definition Restricted Data should be classified as Restricted when the unauthorized disclosure, alteration or destruction of that data could cause a significant level of risk to the University or its affiliates. Examples of Restricted data include data protected by state or federal privacy regulations and data protected by confidentiality agreements. The highest level of security controls should be applied to Restricted data. Private Data should be classified as Private when the unauthorized disclosure, alteration or destruction of that data could result in a moderate level of risk to the University or its affiliates. By default, all Institutional Data that is not explicitly classified as Restricted or Public data should be treated as Private data. A reasonable level of security controls should be applied to Private data. Public Data should be classified as Public when the unauthorized disclosure, alteration or destruction of that data would result in little or no risk to the University and its affiliates. Examples of Public data include press releases, course information and research publications. While little or no controls are required to protect the confidentiality of Public data, some level of control is required to prevent unauthorized modification or destruction of Public data.Classification of data should be performed by an appropriate Data Steward. Data Stewards are senior-level employees of the University who oversee the lifecycle of one or more sets of Institutional Data. See Information Security Roles and Responsibilities for more information on the Data Steward role and associated responsibilities.
Visit the Data Classification Workflow for a process on how to classify data.
Data Collections
Data Stewards may wish to assign a single classification to a collection of data that is common in purpose or function. When classifying a collection of data, the most restrictive classification of any of the individual data elements should be used. For example, if a data collection consists of a student's name, address and social security number, the data collection should be classified as Restricted even though the student's name and address may be considered Public information.
Reclassification
On a periodic basis, it is important to reevaluate the classification of Institutional Data to ensure the assigned classification is still appropriate based on changes to legal and contractual obligations as well as changes in the use of the data or its value to the University. This evaluation should be conducted by the appropriate Data Steward. Conducting an evaluation on an annual basis is encouraged; however, the Data Steward should determine what frequency is most appropriate based on available resources. If a Data Steward determines that the classification of a certain data set has changed, an analysis of security controls should be performed to determine whether existing controls are consistent with the new classification. If gaps are found in existing security controls, they should be corrected in a timely manner, commensurate with the level of risk presented by the gaps.
Calculating Classification
The goal of information security, as stated in the University's Information Security Policy, is to protect the confidentiality, integrity and availability of Institutional Data. Data classification reflects the level of impact to the University if confidentiality, integrity or availability is compromised.
Unfortunately there is no perfect quantitative system for calculating the classification of a particular data element. In some situations, the appropriate classification may be more obvious, such as when federal laws require the University to protect certain types of data (e.g. personally identifiable information). If the appropriate classification is not inherently obvious, consider each security objective using the following table as a guide. It is an excerpt from Federal Information Processing Standards (FIPS) publication 199 published by the National Institute of Standards and Technology, which discusses the categorization of information and information systems.
POTENTIAL IMPACT Security Objective LOW MODERATE HIGH ConfidentialityPreserving authorized restrictions on information access and disclosure, including means for protecting personal privacy and proprietary information. The unauthorized disclosure of information could be expected to have a limited adverse effect on organizational operations, organizational assets, or individuals. The unauthorized disclosure of information could be expected to have a serious adverse effect on organizational operations, organizational assets, or individuals. The unauthorized disclosure of information could be expected to have a severe or catastrophic adverse effect on organizational operations, organizational assets, or individuals. Integrity
Guarding against improper information modification or destruction, and includes ensuring information non-repudiation and authenticity. The unauthorized modification or destruction of information could be expected to have a limited adverse effect on organizational operations, organizational assets, or individuals. The unauthorized modification or destruction of information could be expected to have a serious adverse effect on organizational operations, organizational assets, or individuals. The unauthorized modification or destruction of information could be expected to have a severe or catastrophic adverse effect on organizational operations, organizational assets, or individuals. Availability
Ensuring timely and reliable access to and use of information. The disruption of access to or use of information or an information system could be expected to have a limited adverse effect on organizational operations, organizational assets, or individuals. The disruption of access to or use of information or an information system could be expected to have a serious adverse effect on organizational operations, organizational assets, or individuals. The disruption of access to or use of information or an information system could be expected to have a severe or catastrophic adverse effect on organizational operations, organizational assets, or individuals.
As the total potential impact to the University increases from Low to High, the classification of data should become more restrictive moving from Public to Restricted. If an appropriate classification is still unclear after considering these points, contact the Information Security Office for assistance.
Appendix A - Predefined Types of Restricted Information
The Information Security Office and the Office of General Counsel have defined several types of Restricted data based on state and federal regulatory requirements. This list does not encompass all types of restricted data. Predefined types of restricted information is defined as follows:
1. Authentication Verifier An Authentication Verifier is a piece of information that is held in confidence by an individual and used to prove that the person is who they say they are. In some instances, an Authentication Verifier may be shared amongst a small group of individuals. An Authentication Verifier may also be used to prove the identity of a system or service. Examples include, but are not limited to:
- PasswordsShared secretsCryptographic private keys
- Electronic storage truyền thông includes computer hard drives and any removable and/or transportable digital memory medium, such as magnetic tape or disk, optical disk, or digital memory card.Transmission truyền thông used to exchange information already in electronic storage truyền thông. Transmission truyền thông
includes, for example, the Internet, an extranet (using Internet technology to link a business with information accessible only to collaborating parties), leased lines, dial-up lines, private networks and the physical movement of removable and/or transportable electronic storage truyền thông. Certain transmissions, including of paper, via facsimile, and of voice, via telephone, are not considered to be transmissions via electronic truyền thông because the information being exchanged did not exists in
electronic form before the transmission.
Export Controlled Materials is defined as any information or materials that are subject to United States export control regulations including, but not limited to, the Export Administration Regulations (EAR) published by the U.S. Department of Commerce and the International Traffic in Arms Regulations (ITAR) published by the U.S. Department of State. See the Office of Research Integrity and Compliance's FAQ on Export Control for more information.
5. Federal Tax Information ("FTI") FTI is defined as any return, return information or taxpayer return information that is entrusted to the University by the Internal Revenue Services. See Internal Revenue Service Publication 1075 Exhibit 2 for more information. 6. Payment Card InformationPayment card information is defined as a credit card number (also referred to as a primary account number or PAN) in combination with one or more of the following data elements:
- Cardholder nameService codeExpiration dateCVC2, CVV2 or CID valuePIN or PIN blockContents of a credit card’s magnetic stripe
Payment Card Information is also governed by the University's PCI DSS Policy and Guidelines (login required).
7. Personally Identifiable Education Records Personally Identifiable Education Records are defined as any Education Records that contain one or more of the following personal identifiers:- Name of the studentName of the student’s parent(s) or other family thành viên(s)Social security numberStudent numberA list of personal characteristics that would make the student’s identity easily traceableAny other information or identifier that would make the student’s identity easily
traceable
See Carnegie Mellon’s Policy on Student Privacy Rights for more information on what constitutes an Education Record.
8. Personally Identifiable Information For the purpose of meeting security breach notification requirements, PII is defined as a person’s first name or first initial and last name in combination with one or more of the following data elements:- Social security numberState-issued driver’s license numberState-issued identification card numberFinancial account number in combination with a security code, access code or password that would permit access to the accountMedical and/or
health insurance information
- NameAddress (all geographic subdivisions smaller than state including street address, city, county, precinct or zip code)All elements of dates (except year) related to an individual including birth date, admissions date, discharge date, date of death and exact age if over 89)Telephone numbersFax numbersElectronic mail addressesSocial security numbersMedical record numbersHealth plan beneficiary numbersAccount
numbersCertificate/license numbersVehicle identifiers and serial numbers, including license plate numberDevice identifiers and serial numbersUniversal Resource Locators (URLs)Internet protocol (IP) addressesBiometric identifiers, including finger and voice printsFull face photographic images and any comparable imagesAny other unique identifying number, characteristic or code that could identify an individual
Per Carnegie Mellon’s HIPAA Policy, PHI does not include education records or treatment records covered by the Family Educational Rights and Privacy Act or employment records held by the University in its role as an employer.
10. Controlled Technical Information ("CTI") Controlled Technical Information means "technical information with military or space application that is subject to controls on the access, use, reproduction, modification, performance, display, release, disclosure, or dissemination" per DFARS 252.204-7012. 11. For Official Use Only ("FOUO") Documents and data labeled or marked For Official Use Only are a pre-cursor of Controlled Unclassified Information (CUI) as defined by National Archives (NARA) 12. Personal Data from European Union (EU)The EU’s General Data Protection Regulation (GDPR) defines personal data as any information that can identify a natural person, directly or indirectly, by reference to an identifier including
- NameAn identification numberLocation dataAn online identifierOne or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person
Any personal data that is collected from individuals in European Economic Area (EEA) countries is subject to GDPR. For questions, send email to .
Revision History
Version Date PublishedAuthor
Description
0.1 07/02/2008 Doug Markiewicz Original draft 0.2 09/25/2008 Doug Markiewicz Replaced Categorization section with Data Collections and added sections on Reclassification and Calculating Classifications. 0.3 10/20/2008 Doug Markiewicz Rewrote section on Calculating Classifications due to flaws in original system. Updated Purpose, Applies To and Definitions. 0.4 11/04/2008 Doug Markiewicz Removed equation, made a minor update to the definition of Public Data and updated Additional Information. Sorted Appendix A so that terms appear in alphabetical order and added Covered Financial Information as a term. 0.5 02/20/2009 Doug Markiewicz Added a missing bullet to the last identifier listed in Appendix A Definition G. The definition itself was not modified. 0.6 02/26/2009 Doug Markiewicz Various updates based on Feedback. Major changes include adding 'Data Steward' to the Definitions, adding references to Information Security Roles & Responsibilities and adding Federal Tax Information to Appendix A. 0.7 03/18/2009 Doug Markiewicz Updated definition of PHI in Appendix A to reference the HIPAA Information Security Policy. Added Authentication Verifier to Appendix A. 0.8 09/17/2009 Doug Markiewicz Updated Applied To for consistency with related publications. Removed Education Records from Appendix A per the recommendation of General Counsel. Updated Personally Identifiable Education Records in Appendix A to reference the Policy on Student Privacy Rights. 0.9 01/22/2010 Doug Markiewicz Updated Appendix A to include Export Controlled Materials. 1.0 09/15/2011 Doug Markiewicz Updated definition of Protected Health Information to align with the new HIPAA Policy. Removed DRAFT designation. 1.1 04/07/2015 Laura Raderman
Updated Appendix A to include Controlled Technical Information.
1.2 03/20/2022 Laura RadermanUpdated Appendix A to include FOUO and CUI.
1.3 05/23/2022 Mary Ann BlairUpdated Appendix A to include Personal Data from European Union
1.4 02/21/2022 Joseph MaglioccaMoved "Additional Information" to sidebar. Added table of contents.
Status Date Published Published: 07/02/2008 Last Reviewed: 02/21/2022 Last Updated: 02/21/2022
What is the primary purpose of information classification?
Information Classification helps to ensure that individuals involved inside the organization have the knowledge and are aware of the type of data they are working with and its value, as well as their obligations and responsibilities in protecting it and preventing data breach or loss.What is the primary purpose of data classification quizlet?
Data is classified based on its value to the organization. In some cases, it is classified based on the potential negative impact if unauthorized personnel can access it, which represents a negative value.What is the primary purpose of classifying data during the implementation process?
Data classification provides a clear picture of all data within an organization's control and an understanding of where data is stored, how to easily access it, and the best way to protect it from potential security risks.What are the 4 classifications of information?
Typically, there are four classifications for data: public, internal-only, confidential, and restricted. Tải thêm tài liệu liên quan đến nội dung bài viết Which one of the following identifies the primary purpose of information classification processes?