Visible to the public Trust Management in Underwater Acoustic MANETs based on Cloud Theory using Multi-Parameter Metrics

TitleTrust Management in Underwater Acoustic MANETs based on Cloud Theory using Multi-Parameter Metrics
Publication TypeConference Paper
Year of Publication2018
AuthorsLowney, M. Phil, Liu, Hong, Chabot, Eugene
Conference Name2018 International Carnahan Conference on Security Technology (ICCST)
Date PublishedOct. 2018
PublisherIEEE
ISBN Number978-1-5386-7931-9
Keywords802.11-based MANET, Access Control, Ad hoc networks, cloud model, communication metrics, computer theory, cyber security, harsh underwater environments, human factors, Identity management, Measurement, mobile ad hoc networks, mobile computing, multiparameter metrics, pubcrawl, resilience, Resiliency, Scalability, secure access, security, telecommunication security, terrestrial MANETs, threat identification, Trust Management Framework, trust model, Uncertainty, underwater acoustic communication, underwater acoustic MANETs, Underwater Acoustic Mobile Ad-hoc Network, underwater acoustic Mobile Ad-hoc NETworks, Underwater acoustics, underwater environment, Unified modeling language, vulnerability analysis
Abstract

With wide applications like surveillance and imaging, securing underwater acoustic Mobile Ad-hoc NETworks (MANET) becomes a double-edged sword for oceanographic operations. Underwater acoustic MANET inherits vulnerabilities from 802.11-based MANET which renders traditional cryptographic approaches defenseless. A Trust Management Framework (TMF), allowing maintained confidence among participating nodes with metrics built from their communication activities, promises secure, efficient and reliable access to terrestrial MANETs. TMF cannot be directly applied to the underwater environment due to marine characteristics that make it difficult to differentiate natural turbulence from intentional misbehavior. This work proposes a trust model to defend underwater acoustic MANETs against attacks using a machine learning method with carefully chosen communication metrics, and a cloud model to address the uncertainty of trust in harsh underwater environments. By integrating the trust framework of communication with the cloud model to combat two kinds of uncertainties: fuzziness and randomness, trust management is greatly improved for underwater acoustic MANETs.

URLhttps://ieeexplore.ieee.org/document/8585499
DOI10.1109/CCST.2018.8585499
Citation Keylowney_trust_2018