Towards Supporting Security and Privacy for Social IoT Applications: A Network Virtualization Perspective

Abstract

Network function virtualization (NFV) is a new way to provide services to users in a network. Different from dedicated hardware that realizes the network functions for an IoT application, the network function of an NFV network is executed on general servers, and in order to achieve complete network functions, service function chaining (SFC) chains virtual network functions to work together to support an IoT application. In this paper, we focus on a main challenge in this domain, i.e., resource efficient provisioning for social IoT application oriented SFC requests. We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes, which can efficiently reduce bandwidth resource consumption (OSFCD-LSEM) and support the security and privacy of social IoT applications. The results of our simulation show that our proposed algorithm improves the bandwidth carrying rate, time efficiency, and acceptance rate by 50%, 60%, and 15%, respectively.

Emerging IoT domains, current standings and open research challenges: a review

“…Much research has been undertaken on trustworthiness management in social and peerto-peer (P2P) networks, with the vast majority centered on the concepts of reputationbased methods maintained either locally, centrally, or disseminated throughout the network. As a result, a computation model is required that quantifies a probabilistic estimation average, which aids in determining if a participant's reputation has increased or decreased as a result of malicious information sharing with its peers (Golbeck, 2005;Nitti et al, 2017;Sun et al, 2019).…”

Peer Review #1 of "Emerging IoT domains, current standings and open research challenges: a review (v0.1)"

“…• Context-aware collaborative computing Much research has been undertaken on trustworthiness management in social and peer-to-peer (P2P) networks, with the vast majority centered on the concepts of reputation-based methods maintained either locally, centrally, or disseminated throughout the network. As a result, a computation model is required that quantifies a probabilistic estimation average, which aids in determining if a participant's reputation has increased or decreased as a result of malicious information sharing with its peers (Golbeck (2005);Nitti et al (2017); Sun et al (2019)). Nitti et al (Nitti et al (2013); Nitti et al (2017)) investigated trustworthiness management in SIoT by thoroughly researching two approaches for developing scalable, dependable social behaviour in smart devices.…”

Peer Review #3 of "Emerging IoT domains, current standings and open research challenges: a review (v0.1)"

“…• Context-aware collaborative computing Much research has been undertaken on trustworthiness management in social and peer-to-peer (P2P) networks, with the vast majority centered on the concepts of reputation-based methods maintained either locally, centrally, or disseminated throughout the network. As a result, a computation model is required that quantifies a probabilistic estimation average, which aids in determining if a participant's reputation has increased or decreased as a result of malicious information sharing with its peers (Golbeck (2005);Nitti et al (2017); Sun et al (2019)). Nitti et al (Nitti et al (2013); Nitti et al (2017)) investigated trustworthiness management in SIoT by thoroughly researching two approaches for developing scalable, dependable social behaviour in smart devices.…”