Library and Information Science Commons^™

A Study Of The Effect Of Types Of Organizational Culture On Information Security Procedural Countermeasures, Sheri James

CCE Theses and Dissertations

This study examined the impact of specific organizational cultures on information security procedural countermeasures (ISPC). With increasing security incidents and data breaches, organizations acknowledge that people are their greatest asset as well as a vulnerability. Previous research into information security procedural controls has centered on behavioral, cognitive, and social theories; some literature incorporates general notions of organization culture yet there is still an absence in socio-organizational studies dedicated to elucidating how information security policy (ISP) compliance can be augmented by implementing comprehensive security education, training, and awareness (SETA) programs focusing on education, training, and awareness initiatives.

A theoretical model was …

Analyzing Small Business Strategies To Prevent External Cybersecurity Threats, Dr. Kevin E. Moore

Walden Dissertations and Doctoral Studies

Some small businesses’ cybersecurity analysts lack strategies to prevent their organizations from compromising personally identifiable information (PII) via external cybersecurity threats. Small business leaders are concerned, as they are the most targeted critical infrastructures in the United States and are a vital part of the economic system as data breaches threaten the viability of these organizations. Grounded in routine activity theory, the purpose of this pragmatic qualitative inquiry was to explore strategies small business organizations utilize to prevent external cybersecurity threats. The participants were nine cybersecurity analysts who utilized strategies to defend small businesses from external threats. Data were collected …

Analyzing Small Business Strategies To Prevent External Cybersecurity Threats, Dr. Kevin E. Moore

Walden Dissertations and Doctoral Studies

Some small businesses’ cybersecurity analysts lack strategies to prevent their organizations from compromising personally identifiable information (PII) via external cybersecurity threats. Small business leaders are concerned, as they are the most targeted critical infrastructures in the United States and are a vital part of the economic system as data breaches threaten the viability of these organizations. Grounded in routine activity theory, the purpose of this pragmatic qualitative inquiry was to explore strategies small business organizations utilize to prevent external cybersecurity threats. The participants were nine cybersecurity analysts who utilized strategies to defend small businesses from external threats. Data were collected …

An Empirical Examination Of The Computer Security Behaviors Of Telecommuters Working With Confidential Data Through Leveraging The Factors From Fear Appeals Model (Fam), Titus Dohnfon Fofung

CCE Theses and Dissertations

Computer users’ security compliance behaviors can be better understood by devising an experimental study to examine how fear appeals might impact users’ security behavior. Telecommuter security behavior has become very relevant in information systems (IS) research with the growing number of individuals working from home. The increasing dependence on telecommuting to enhance the viability and convenience has created an urgency with the advent of the COVID-19 pandemic to examine the behavior of users working at home across a corporate network. The home networks are usually not as secure as those in corporate settings. There is seldom a firewall setting and …

Computational Environment For Modeling And Analysing Network Traffic Behaviour Using The Divide And Recombine Framework, Ashrith Barthur

Open Access Dissertations

There are two essential goals of this research. The first goal is to design and construct a computational environment that is used for studying large and complex datasets in the cybersecurity domain. The second goal is to analyse the Spamhaus blacklist query dataset which includes uncovering the properties of blacklisted hosts and understanding the nature of blacklisted hosts over time.

The analytical environment enables deep analysis of very large and complex datasets by exploiting the divide and recombine framework. The capability to analyse data in depth enables one to go beyond just summary statistics in research. This deep analysis is …