cloud privacy and security (Risk Assessment)

profileSangeeth08
ITC568_201860_Wk2_Digital_Identity_Privacy.pptx

ITC568 Cloud Privacy and Security

Digital Identity and Privacy

Week 2

Dr Peter White

Digital Identity

Privacy and Identity

Agenda

© P White 2017

2

What is a Digital Identity?

Sullivan defines it as

“Digital identity is all the information digitally recorded about an individual. i.e. a natural person that is accessible under the particular scheme”

What is the purpose of a digital identity?

What do you use a digital identity for?

When do you create one?

© P White 2017

3

Digital Identity

Digital identity is now emerging as an important concept for government

Services for citizens are being moved online to provide:

Better transactional efficiency

Reduction in operating costs

24x7 access to a range of different services

But, the move online has created challenges

Legislative issues & requirements

Identity assurance issues

People have more than one identity

Fraud issues, including identity theft

Government identity systems require uniqueness & exclusivity:

one person = one identity

© P White 2017

4

Digital Identity

Sullivan sees a digital identity as having two components:

A set of defined, static information that is presented for a transaction, such as name, address, DoB, and other identifying information, such as numerical identifier, signature, etc.

What other information do you think should be included here to ensure proper identification?

For a private use digital identity?

For a government use digital identity?

Should it include biometric information?

© P White 2017

5

Digital Identity

Sullivan, C. (2015). Protecting digital identity in the cloud. In Ko, R., & Choo, K.(Eds.). (2015). The Cloud Security Ecosystem: Technical, Legal, Business and Management Issues. Waltham, MA: Syngress.

Transactional data.

This is a larger collection of “other” information that is tied to the transaction identity.

Note her use of terminology here – transaction identity.

What do you think this means?

Transactional data is dynamic & augmented on a on-going basis

This data is generally considered personal information & not available in the public domain

This data is often protected by privacy laws and regulations

© P White 2017

6

Digital Identity

Digital identification has two phases:

Authentication of identity

Verification of identity

This process is based on the integrity of transaction identity

© P White 2017

7

Digital Identification

Authentication

An identity claim is authenticated by the claimant providing identifying information, such as:

User name and password,

Identity number and password

Biometrics and password

Identifying information is regarded as being associated inseparably with the individual

© P White 2017

8

Digital Identification

Verification

The authenticated digital identity can now be used to verify transactions, such as renew licences, claim Medicare rebates, complete tax returns, etc.

© P White 2017

9

Digital Identification

Note that a human is not absolutely essential to the identification process.

Identification can be on a computer to computer basis using previously stored, and verified identity claims

Think about Medicare rebates – the Doctor’s surgery handles the complete claim for you, including identifying the patient to Medicare

© P White 2017

10

Digital Identification

Identity Management has been defined as “the administration of an entity’s digital identity so as to provide secure and controlled access to the resources that the entity is entitled to use” (White, 2009, p. 5)

The ‘administration of an entity’s digital identity’ implies that all aspects of that administration, including identification of the entity and the issuing of credentials, are part of the identity management process.

It also implies the continued maintenance of the identity and its credentials throughout their life-cycles.

The need to provide ‘secure and controlled access’ entails not only the use of a system of authentication to ensure that only the correct identities are allowed access, but it also includes access control of the enterprises resources. This ensures that the authenticated identity only has access to those resources that it is entitled to use.

The use of the phrase ‘entitled to use’ further implies that there must be a system of provisioning to ensure that an identity is granted access only to the resources that it is entitled to access.

This leads to the implication that a system of governance must be in place to monitor the entire process of identity management.

© P White 2017

11

Identity Management

© P White 2017

12

Identity Management

© P White 2017

13

Authentication & Authorisation

The process of authentication takes a user to an authentication module

There the user’s credentials are compared with the stored set

If the credentials match, authentication then occurs

The user is the passed to an authorisation module

Authorisation is the process of granting the suer access to resources that they are entitled to access

Question:

Is having less data about an individual equal to better privacy?

Answer:

It depends.

A single fingerprint stored may be more invasive than a full credit history

A small amount of identity information that is shared with numerous parties may be more invasive

A small amount of identity information that is not secured may be catastrophic for the individual

A small amount of identity information may be used to profile an individual that can have consequences ranging from reputational damage to criminal charges

© P White 2017

14

Privacy issues

Privacy guidelines

Openness.

The existence of systems containing personal data should be publicly known, along with a description of the system's main purposes and uses of the personal data in the system.

Individual participation.

Individuals should have a right to view all information that's collected about them. They should also be able to correct or remove data that isn't timely, accurate, relevant, or complete.

Collection limitation.

Limits to the collection of personal data should exist. Personal data should be collected by lawful and fair means and, where appropriate, with the individual's knowledge or consent.

Data quality.

Personal data should be relevant to the purposes for which it's collected and used. It should be accurate, complete, and timely.

Finality.

The use and disclosure of personal data should be limited. Personal data should be used only for the purposes specified at the time of collection and shouldn't be otherwise disclosed without the consent of the individual or other legal authority.

Security.

Personal data should be protected by reasonable security safeguards against such risks as loss, unauthorized access, destruction, use, modification, and disclosure.

Accountability.

The keepers of personal data should be accountable for complying with fair information practices.

© P White 2017

15

Privacy Issues

Additional principles:

Diversity and decentralization.

Enrolment and authentication options should let individuals choose the appropriate key for a specific need. Designers should resist centralising identity information or using a single credential for multiple purposes.

Proportionality.

The amount, type, and sensitivity of identity information collected and stored should be consistent with and proportional to the system's purpose.

Privacy by design.

Privacy considerations should be incorporated into the identity management system from the outset of the design process. Considerations include safeguards for the physical system components as well as policies and procedures that guide the system's implementation.

© P White 2017

16

Privacy Issues

© P White 2017

17

Privacy architecture

Privacy considerations:

Lack of user control

Unauthorised secondary use

Data proliferation and cross border data flows

Dynamic provisioning

© P White 2017

18

Privacy in the Cloud

Security considerations:

Access – legal right to access data held

Control over the data lifecycle

Availability & backup

Lack of interoperability standards

Multi-Tenancy

Audit

© P White 2017

19

Privacy in the Cloud

Trust issues:

Trust boundaries

Shared responsibility boundaries

Non-transitive trust issues with use of subcontractors or other cloud providers

Customer trust issues – usually from lack of visibility or control

Legal issues between jurisdictions

© P White 2017

20

Privacy in the Cloud

Data handling mechanisms

Classifying data

Data location policies

Data security mitigation

Encryption?

Data classifications

Privacy design

Standardisation

Accountability

Auditing & reviews

Increase trust

Governance frameworks, privacy rules, etc.

© P White 2017

21

Addressing the issues

Read:

Sullivan, C. (2015). Protecting digital identity in the cloud. In Ko, R., & Choo, K.(Eds.). (2015). The Cloud Security Ecosystem: Technical, Legal, Business and Management Issues. Waltham, MA: Syngress

White, P. (2008). Identity Management Architecture: A New Direction. Paper presented at the 8th International Conference on Computer and Information Technology CIT 2008, Sydney. http://ieeexplore.ieee.org.ezproxy.csu.edu.au/document/4594710 /

Hansen, M., Schwartz, A., & Cooper, A. (2008). Privacy and Identity Management. IEEE Security & Privacy, (2), 38-45. http://ieeexplore.ieee.org.ezproxy.csu.edu.au/document/4489848 /

Pearson, S., & Benameur, A. (2010). Privacy, Security and Trust Issues  Arising from Cloud Computing. Paper presented at the IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom), 2010. http://ieeexplore.ieee.org.ezproxy.csu.edu.au/document/5708519 /

Watch

Digital Identity videos on Interact

© P White 2017

22

Tasks