Mock Dissertation Chapter One Introduction

Overview

In today’stoday’s world, organizations require high levels of security to protect sensitive information. While companies do their best to protect their information, criminals continue to attempt to access this data—the number of breaches increases almost weekly. The National Cyber Security Alliance stated that ” a successful cyberattack costs the US economy $8.6 billion annually,” and many businesses lose more than $100 billion a year due to data breaches. It is no longer a surprise when an individual loses their data. Therefore, people can no longer trust that their information will not be compromised. As a result, companies have to take steps to prevent their data from being compromised constantly. As data breaches have become so common, many people use security programs and services that require them to provide personal information, such as passwords. Unfortunately, these systems are often vulnerable to attack. Once they have the correct information, they may be able to access a company’s sensitive information (National Cyber Security Alliance, 2020). Hackers use viruses, “trojans,” social engineering attacks, and other methods to enter an organization’s computer systems.
Once inside, hackers may steal data or corrupt it, exposing a company to loss of reputation and legal action. In the end, a company must invest resources in detecting and recovering the lost data (National Cyber Security Alliance, 2020).
The research uses an annual survey by the Center for Internet Security (CIS) that stated that “hackers now attack about a billion computers per month,” and the number of breaches has grown to 200,000 a year. According to the NCSA number of breaches occurring each year exceeds 6,800. As the number of attacks has increased, businesses are now relying on data science to increase their security and protect their company. However, data science does not provide a 100% guarantee complete protection. For example, if an employee provides information, but he or she does not use the same password for every website. In other words, a
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data scientist cannot guarantee that the data will be 100% protected. However, multiple security measures are adequate, including detection and prevention before an attack. Furthermore, a security expert might be able to identify a potential breach and act accordingly. By having multiple systems in place to protect the information, a company can limit the damage if a breach does occur.
Background and Problem Statement

Several software and services can monitor personal and company information for any suspected unauthorized activity. However, the data collected is often stored in proprietary databases that use a “one size fits all” approach to information security. It makes it challenging to identify the breach and causes a company to lose confidence that the data is secure. Data science may provide valuable insights and intelligence for security analysts and

R.1 Abstract of Qualitative Research Article

Overview: 

The term “abstract” is a homophone which can mean one of two scholarly writing activities. One, is the abstract that you will write to introduce your dissertation. The other meaning is a shortened writing assignment whereby you write a condensed summary of an academic journal.  For this assignment, we will focus on writing a scholarly abstract of a qualitative journal. More information about writing an abstract can be found via the web resource “Writing Scholarly Abstracts.”

Directions: 
View the rubric and examples to make sure you understand the expectations of this assignment. Create a 2 and half page single-spaced Analysis of Research abstract published qualitative scholarly article related to your mock dissertation topic/research question.

Brevity and being concise are important as this analysis is intended to be a brief summation of the research.

Each abstract must therefore consist of the following in this order:

1. Bibliographic Citation – use the correctly formatted APA style citation for the work as the title of your abstract, displaying the full citation in bold font.
2. Author Qualifications – name and qualification of each author conducting the research
3. Research Concern – one paragraph summary of the reason for the overall research topic
4. Research Purpose Statement AND Research Questions or Hypotheses – specific focus of the research
5. Precedent Literature – key literature used in proposing the needed research (not the full bibliography or reference list)
6. Research Methodology – description of the population, sample, and data gathering techniques used in the research
7. Instrumentation – description of the tools used to gather data (surveys, tests, interviews, etc.)
8. Findings – summation of what the research discovered and the types of analysis that were used to describe the findings (tables, figures, and statistical measures)

R.2 Abstract of a Quantitative Research Article

Overview: 

The term “abstract” is a homophone which can mean one of two scholarly writing activities. One, is the abstract that you will write to introduce your dissertation. The other meaning is a shortened writing assignment whereby you write a condensed summary of an academic journal.  For this week, we will focus on writing a scholarly abstract of a quantitative journal. More information about writing an abstract can be found via the web resource “Writing Scholarly Abstracts.”

Directions: 

View the rubric and examples to make sure you understand the expectations of this assignment.  Create a 2 and half page single-spaced Analysis of Research abstract published quantitative scholarly article related to your mock dissertation topic/research question. Additionally, this assignment functions just like assignment R.1 only it reviews a quantitative article instead of a qualitative one.

Brevity and being concise are important as this analysis is intended to be a brief summ




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