Visible to the public A Fuzzy AHP Approach for Ranking Security Attributes in Fog-IoT Environment

TitleA Fuzzy AHP Approach for Ranking Security Attributes in Fog-IoT Environment
Publication TypeConference Paper
Year of Publication2020
AuthorsVerma, Richa, Chandra, Shalini
Conference Name2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Date Publishedjul
Keywordscloud computing, edge computing, Fog Computing, Fog Computing and Security, Fog-IoT Security, fuzzy analytical hierarchy process, Internet of Things, Linguistics, Mathematical model, Multi Criteria Decision Making, pubcrawl, Resiliency, Scalability, security, smart devices
AbstractThe advent of Internet and recent technological developments have paved the way for IoT devices in different sectors. The demand for real-time response led to the development of fog computing which is now a popular computing technique. It provides processing, computing and storage at the network edge for latency-sensitive applications such as banking transactions, healthcare etc. This has further led to the pool of user's sensitive data across the web that needs to be secured. In order to find an efficient security solution, it is mandatory to prioritize amongst different fog-level security factors. The authors have therefore, adopted a fuzzy-based Analytical Hierarchy Approach (AHP) for ranking the security attributes in fog-driven IoT environment. The results have also been compared to the ones obtained from classical-AHP and are found to be correlated.
DOI10.1109/ICCCNT49239.2020.9225513
Citation Keyverma_fuzzy_2020