Edu, Abeeku Sam

ANTECEDENTS OF DIGITAL SECURITY RISK MANAGEMENT ON DIGITAL TECHNOLOGY INTEGRATION / AN EVALUATION THROUGH FMEA AND FUZZY TOPSIS ABEEKU SAM EDU; SUPERVISOR: ASSOC. PROF. DR. MARY AGOYI - 190 sheets; 31 cm Includes CD

Thesis (PhD) - Cyprus International University. Institute of Graduate Studies and Research Management Information Systems Department

Includes bibliography (sheets 149-182)

ABSTRACT
The concept of digital disruption has given cause for firms to leverage on integrating
applications, platforms and infrastructure to promote business operations. This has
contributed to open digital collaborations and has seemingly offered the integration of
IoTs, Big Data Analytics and Cloud Computing to support data sourcing, data analytics
and storage to synchronize on a single platform. Notwithstanding the benefits derived
from digital technology integration such as IoTs, Big Data Analytics and Cloud
Computing, digital vulnerabilities and threats have become a more significant concern
for users. Addressing these challenges from an information systems perspective
reveals a sparsity of research contributions delineating potential vulnerabilities and
threats affecting the integration of IoTs, BDA and CC for data management. In this
regard, this study explores and provides a step-by-step analysis of the potential
vulnerabilities and threats failures affecting the integration of IoTs, Big Data Analytics
and Cloud Computing towards data management. The study combined a multidimensional
analysis, Failure Mode Effect Analysis and Fuzzy Technique for Order
of Preference by Similarity for Ideal Solution to evaluate and rank the potential
vulnerabilities and threats affecting emerging technology integration. This study used
a sample of 234 security experts from the banking industry with adequate knowledge
in IoTs, Big Data Analytics and Cloud Computing for the survey. The results revealed
a lack of backup electric generator, failure of firewall protection and lack of
information security audit as the high-ranking vulnerabilities and threats failures based
on the closeness of coefficient scores to significantly affect Internet of Things, Big
Data and Cloud Computing integration. This study is an extension of the discussions
of pervasive vulnerabilities and threats originating from integrating digital applications
and platforms for data management. A detailed review and classification of these
threats and vulnerabilities are vital for sustaining digital integration for firms. A
framework for assessing and evaluating digital security vulnerabilities and threats was
further proposed to support financial institutions quests to identify the occurrence,
severity and detectability of risks.


Risk management--Dissertations, Academic
Technology--Dissertations, Academic
Information technology--Dissertations, Academic