000			03539nam a22003017a 4500
003			KOHA_MİRAKIL
005			20220315102912.0
008			220315d2022 cy ||||| m||| 00| 0 eng d
040			_aCY-NiCIU _beng _cCY-NiCIU _erda
041			_aeng
090			_aD 295 _bE38 2022
100	1		_aEdu, Abeeku Sam
245	1	0	_aANTECEDENTS OF DIGITAL SECURITY RISK MANAGEMENT ON DIGITAL TECHNOLOGY INTEGRATION / _cABEEKU SAM EDU; SUPERVISOR: ASSOC. PROF. DR. MARY AGOYI
246	2	3	_aAN EVALUATION THROUGH FMEA AND FUZZY TOPSIS
264			_c2022
300			_a190 sheets; _c31 cm _eIncludes CD
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
502			_aThesis (PhD) - Cyprus International University. Institute of Graduate Studies and Research Management Information Systems Department
504			_aIncludes bibliography (sheets 149-182)
520			_aABSTRACT 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.
650		0	_aRisk management _vDissertations, Academic
650		0	_aTechnology _vDissertations, Academic
650		0	_aInformation technology _vDissertations, Academic
700	1		_aAgoyi, Mary _esupervisor _9253
942			_2ddc _cTS
999			_c283924 _d283924