학술논문

NTaaS: Network trustworthiness as a service
Document Type
Conference
Source
2017 27th International Telecommunication Networks and Applications Conference (ITNAC) Telecommunication Networks and Applications Conference (ITNAC), 2017 27th International. :1-6 Nov, 2017
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Device-to-device communication
Network topology
Peer-to-peer computing
Mathematical model
Transmission line measurements
Trust and reputation management
Adaptive networks
Simmelian Ties
Structural Holes
D2D networks
Network Trustworthiness
Network Trustworthiness as a Service
Language
ISSN
2474-154X
Abstract
The Device-to-Device communication (D2D) is believed to be one of promising paradigm for 5G wireless communication networks. D2D networks are based on a distributed peer to peer (P2P) network architecture where the nodes are self-organized. Moreover, as the devices are controlled by humans, their behaviours become unpredictable. Trust and reputation management (TRM) emerges as a significant research problem to tackle the security issues in D2D networks. Recently, there is a rapid growth of literature related to TRM but mainly focus their attention on trust modelling and quantification, so as to effectively detect and avoid various malicious attacks or selfish behaviours. However, there are only very limited existing works on the impact of the underlying network structure on overlay dynamic trust behaviours. The network trust behaviour is not merely a function of trust modes, but also a network-wide activity. In this paper, we propose the concept of ”Network-Trustworthiness-as-a-Service” (NTaaS) — a network trustworthiness evaluation framework for the trustworthiness of the networks from global point of view. We also evaluate the evaluation framework through a thorough simulation study comparing different network topologies. The study will validate the trustworthiness evaluation framework, and thus present a guideline to evaluate network trustworthiness and network structure optimisation.