literature review

Running head: LITERATRE REVIEW OUTLINE

LITERATURE REVIEW OUTLINE

Literature Review Outline

1) Introduction

i) The health information safety and security in healthcare facilities.

ii) Effects of malware and phishing in the safety of health care information.

b) Importance

i) Avoiding of miss diagnosis due to lose of patient data

ii) Improve of security to health data

iii) Educating the masses about the attackers

c) Interest

i) To come up with effective mitigation measures to protect the health care information.

ii) To educate masses on how to recognize phishing attempts.

iii) How to use antiviruses to protect computers from malware.

iv) Analyze the security measures put in place.

v) Importance of securing patient’s data.

Comment: This would be a subtopic area not part of your introduction

1) Trends.

i. Use of email phishing

ii. Spear phishing

iii. Smishing and vishing

iv. Angler phishing

v. File less malware

vi. Ransomware

2) Methodology

a. Survey

b. Interview

c. Questioner

d. Use of statistical data from previous researchers

Comment: You don’t know your findings yet – you haven’t completed your reseach.

3) Findings

a. Due to technological advancement malware and phishing have affected more the private health care facilities.

b. Health care providers are the most targeted.

Comment: What you provided is not an outline, you have added other resources.

4) Literature

a) Use of email phishing

b) Spear phishing

c) Smishing and vishing

d) Angler phishing

e) File less malware

f) Ransomware

g) Health Care Security

h) Patient PPI

The attacks of malware and phishing originated in the year 1986 from two siblings who were testing gaps in their company’s software. After which some other malwares came up for example the brain malware which was capable of deleting all the computers files. The health research institutions were later focused by the attackers in order to use the information to threaten the government of specific individuals.

I. Themes

Theme	Research question	methods	findings
Spear phishing	How to identify malicious emails.	-interview -case study	Use of anti-phishing protectors.
Ransomware	How to educate health care providers to strengthen data security	-survey -interview	The following methods can be used to curve the threat. -Strong passwords -not to share vital information
File-less malware	How attackers’ contract and send file-less malware like site add.	-case study -questioners	Installation of anti-viruses and limited shearling can be used as a solution.
Smishing and vishing	How vishing occurs that is the use of telephone to gather information How smishing occurs the is the use of emails	-interviews -research	Using strong passwords to protect the phone and emails.

II. Summary table

Citation	Research question	Approach	measures
Aldawood, H., & Skinner, G. (2019). Contemporary Cyber Security Social Engineering Solutions, Measures, Policies, Tools, and Applications: A Critical Appraisal. International Journal of Security (IJS), 10(1), 1.	Solutions, measures, policies used by health care organizations to protect its information.	survey	creating of awareness -using of anti-viruses
(PDF) Social Engineering Attack Mitigation. (, 2020). Retrieved 2 October 2020, from https://www.researchgate.net/publication/307606034_Social_Engineering_Attack_Mitigation	Types of attacks that have occurred in health care system	Review from previous research	creating awareness by educating the workers

Comment: You can’t write a conclusion yet – you haven’t don’t your research. It should just be Conclusion.

Conclusion:

Malwares and phishing have affected the health care sector different mitigation measures can be used to ensure security such as educating the health care providers on security measures and installing strong passwords to the systems. This paper will contribute much in mitigating the threats. The current systems have their merits and demerits like the gaps of new viruses formed to attach the system due to technology advancement. The research will try to come up with solid measure to protect the data.