A Multicriteria Decision Making Taxonomy of IOT Security Challenging Factors

Abstract

Internet of things (IoT) is leading a new digital age. IoT is regarded as the significant frontier that can improve almost all aspect of our lives. Currently, the IoT technology faces several challenges to academic researchers and industry practitioners, mainly that related with security of data. The objective of this study is to develop a prioritization-based taxonomy of the challenging factors that could hinders the security of IoT. By conducting the literature review and questionnaire survey studies 21 challenging factors were identified that are reported in existing literature and in real-world practices. Moreover, the identified challenging factors are mapped in the core domain of IoT (i.e. smart city, smart home, smart wearable's and smart health care); and apply the fuzzy-AHP approach to rank the identified challenging factors with respect to their criticality for security of IoT technology. The application of fuzzy-AHP is novel in this research area as it is successfully applied in other domains of information technology to address the multi-criterion decision making problems. This study is contributing by providing a prioritization-based taxonomy of the IoT security challenging factors that could help the practitioners and research community to revise and develop the new strategies for the secure IoT.

Quantifying IoT Security Parameters: An Assessment Framework

“…Reference [10] conducted a survey and literature review that identified 21 security factors mapped in four domains (i.e., smart cities, homes, wearables, and health care). They used the fuzzy-AHP method, rather than cryptographic algorithms, to rank the factors in order of their importance to IoT technology security.…”

“…Some studies reviewed a particular application perspective, like smart homes, cities, or healthcare [5], [11]. Certain studies focused on IoT QA [3], [6], [8], while many others performed generic surveys on the factors influencing IoT security [3], [7], [10], [12], [13], [15]. Therefore, as far as we know, this study is the first to compare and discuss the existing metrics that quantify IoT parameters.…”

Security risks of global software development life cycle: Industry practitioner's perspective

“…[33][34][35][36] Numerous decision-making techniques exist. [37][38][39][40][41][42] Thus, we applied the FAHP technique as it is an effective way to handle the MCDM. Considering the successfulness of FAHP in other engineering domains, we also consider it to prioritize the identified security risks against each phase of SDLC.…”

“…As a result, determining the significance and priority of numerous security risks and categories may be referred to as the multicriterion decision-making (MCDM) dilemma [33][34][35][36]. Numerous decision-making techniques exist [37][38][39][40][41][42]. Thus, we applied the fuzzy AHP technique as it is an effective way to handle the MCDM.…”

Toward a secure global contact tracing app for Covid-19

“…The search keywords are linked using OR and, AND operators. We used the following search string for this study as reported in other studies [20][21]. ("Contact tracing app" OR "digital contact tracing" OR "close contacts" OR "exposure notification" OR "digital contacts" OR "blockchain-based contact tracing" OR "blockchain-based digital contacts") AND ("security and privacy" OR "trust" OR "legal use") AND ("Benefits" OR "Success" OR "Advantages").…”