Visible to the public Agent Based Fog Architecture using NDN and Trust Management for IoT

TitleAgent Based Fog Architecture using NDN and Trust Management for IoT
Publication TypeConference Paper
Year of Publication2019
AuthorsArefin, Sayed Erfan, Heya, Tasnia Ashrafi, Chakrabarty, Amitabha
Conference NameTENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)
Date Publishedoct
PublisherIEEE
ISBN Number978-1-7281-1895-6
KeywordsAgent Based Communication, agent based composition model, agent society, caching layer, cloud computing, Computational modeling, Computer architecture, computer network security, Data models, drastic rate, edge computing, fog architecture, fog based agent model, Fog Computing, fog layer, Human Behavior, Internet of Things, Internet of Things (IoT), IoT devices, IoT generation, multi-agent systems, Named Data Network Security, Named Data Network(NDN), NDN, present-day network infrastructure, pubcrawl, resilience, Resiliency, robust system, Scalability, secured named data network protocol, secured system, security, Servers, service-oriented architecture, traffic usage reduction, Trust management
Abstract

Statistics suggests, proceeding towards IoT generation, is increasing IoT devices at a drastic rate. This will be very challenging for our present-day network infrastructure to manage, this much of data. This may risk, both security and traffic collapsing. We have proposed an infrastructure with Fog Computing. The Fog layer consists two layers, using the concepts of Service oriented Architecture (SOA) and the Agent based composition model which ensures the traffic usage reduction. In order to have a robust and secured system, we have modified the Fog based agent model by replacing the SOA with secured Named Data Network (NDN) protocol. Knowing the fact that NDN has the caching layer, we are combining NDN and with Fog, as it can overcome the forwarding strategy limitation and memory constraints of NDN by the Agent Society, in the Middle layer along with Trust management.

URLhttps://ieeexplore.ieee.org/document/8929709
DOI10.1109/TENCON.2019.8929709
Citation Keyarefin_agent_2019