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Dynamic trust management for secure communications in social internet of things (SIoT)

A Meena Kowshalya, M L Valarmathi
2018 Sadhana (Bangalore)  
Establishing a SIoT network or community is not so simple and requires integration of heterogeneous technology and communication solutions.  ...  Properties of trust such as honesty, cooperativeness, community interest and energy of a node are considered for computing trust.  ...  The authors in [21] have created a framework for inferring trust and distrust relationships in Online Social Networks.  ... 
doi:10.1007/s12046-018-0885-z fatcat:vjzpgphxffei5mgz2zqtg5ecyq

Xenophobia in the Time of a Pandemic: Social Media Use, Stereotypes, and Prejudice against Immigrants during the COVID-19 Crisis

Saifuddin Ahmed, Vivian Chen Hsueh-Hua, Arul Indrasen Chib
2021 International journal of public opinion research  
However, those who engaged in frequent heterogenous discussions, and had more extensive social networks, were less likely to stereotype and express prejudice.  ...  This study examines the relationship between social media use, disease risk perception, social and political trust, and out-group stereotyping and prejudice during a social upheaval.  ...  Among individuals with low social trust, having a more extensive social network and frequently engaging in conversations within heterogeneous networks are advantageous in reducing stereotypes and prejudices  ... 
doi:10.1093/ijpor/edab014 fatcat:jqmb7b666reqbe4edvnsenwaoe

A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications

Zahra Najafabadi Samani, Alexander Lercher, Nishant Saurabh, Radu Prodan
2019 Zenodo  
To tackle these problems and fulfill the requirements of social media services, there is a need for intelligent mechanisms integrated to the decentralized social media that consider trust in various aspects  ...  However, the lack of central control in the decentralized social network poses new issues of collaborative decision making and trust to this permission-less environment.  ...  This work was accomplished as a part of project "ARTICONF" 1 , funded by the European Union's Horizon 2020 research and innovation program under grant  ... 
doi:10.5281/zenodo.3581080 fatcat:o5qqx2b5rve2xcmsvo2ylaqc4u

A Socially-Aware Operating System for Trustworthy Computing

Daniela Oliveira, Dhiraj Murthy, Henric Johnson, S. Felix Wu, Roozbeh Nia, Jeff Rowe
2011 2011 IEEE Fifth International Conference on Semantic Computing  
Our model would allow online social network (OSN) users to assign trust values to her friends in a privacy-preserving fashion and maintain a trust repository with trust values for objects like URLs, email  ...  Our model also automatically infer trust values for people a user is not directly connected.  ...  ACKNOWLEDGMENTS We would like to thank our anonymous reviewers for their comments and Allen Tucker for his suggestions on early drafts of this paper.  ... 
doi:10.1109/icsc.2011.45 dblp:conf/semco/OliveiraMJWNR11 fatcat:g6uglr7tzfg33jxnf3b63wawxa

Table of content

2009 2009 IEEE International Conference on Pervasive Computing and Communications  
for Pervasive Workflow Exploiting Semantics for Event Detection Systems Zone-Based Trust Management in Sensor Networks Towards Shrink-Wrapped Security: A Taxonomy of Security-Relevant Context Trust and  ...  Security in Dynamic Systems Asynchronous Computing and Communication Architecture Toward Energy Efficient Wireless Sensor Networks QoS-Aware Data Report Scheduling in Heterogeneous Wireless Sensor Networks  ... 
doi:10.1109/percom.2009.4912745 fatcat:fhuymlscefcqzge6hrv75diqou

Logistic Regression Trust–A Trust Model for Internet-of-Things Using Regression Analysis

Feslin Anish Mon Solomon, Godfrey Winster Sathianesan, R. Ramesh
2023 Computer systems science and engineering  
Internet of Things (IoT) is a popular social network in which devices are virtually connected for communicating and sharing information.  ...  But, the interaction is successful only based on the trust that each device has on another. Thus trust is very much essential for a social network.  ...  IoT integrates heterogeneous physical objects into a network to share advanced applications between them. In future, this plays important role in social life.  ... 
doi:10.32604/csse.2023.024292 fatcat:eeqztxrz6nhg3fudwjdmb6a6d4

Integrating Sign Prediction with Behavior Prediction for Signed Heterogeneous Information Networks

Dong Li, Derong Shen, Yue Kou, Tiezheng Nie
2019 IEEE Access  
In order to solve this issue, in this paper, we present a novel model called SPBP to integrate Sign Prediction with Behavior Prediction in the context of signed heterogeneous information networks.  ...  People often use online social networks not only to express attitudes towards others, but also to make decisions, which forms signed heterogeneous information networks.  ...  In [40] a model-based approach for recommendation in social networks is proposed, which employs matrix factorization techniques and uses the mechanism of trust propagation. C.  ... 
doi:10.1109/access.2019.2937508 fatcat:4qlej6jrrnemdikyyq4u5ja5oq

A Classification of Trust Computation Models for Service-Oriented Internet of Things Systems

Jia Guo, Ing-Ray Chen
2015 2015 IEEE International Conference on Services Computing  
In this paper we classify trust computation models to-date for IoT systems.  ...  To date there is little work on trust computation in IoT environments for security enhancement, especially for dealing with misbehaving owners of IoT devices that provide services to other IoT devices  ...  In this paper we classify state-ofthe-art trust computation models for IoT systems.  ... 
doi:10.1109/scc.2015.52 dblp:conf/IEEEscc/GuoC15 fatcat:praozypswvdxhokuhgiar2uexi

Comtrusto: Composite Trust-Based Ontology Framework For Information And Decision Fusion

Alessandro Oltramari, Jin-Hee Cho
2015 Zenodo  
Interactions between humans and machines are often placed in a multi-layered network involving the multidimensional trust in communication, information, and socio-cognitive layers.  ...  In this complex environment, how to filter and fuse heterogeneous data is critical for effective decision making.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.5281/zenodo.23209 fatcat:iaaxrgmo4rbk5o25lrgg473zjy

Dynamics of Trust Reciprocation in Heterogenous MMOG Networks [article]

Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar
2013 arXiv   pre-print
We verify our hypothesis using predictive models for trust reciprocations using features from trade interactions.  ...  In general, we observe that reciprocation rate is inversely related to the barrier level in these networks. We also note that reciprocation has connections across the heterogeneous networks.  ...  Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S.  ... 
arXiv:1303.6385v3 fatcat:mcfuwsoydbbyncpl3m3znwfrby

Interpersonal Action Across Organizational Boundaries: Threat and Trust in the Context of Social Network Diversity

Michele Williams
2003 Social Science Research Network  
In contrast to more passive models of trust development, it introduces the construct of threat-reducing behavior as an active interpersonal strategy for building and maintaining trust.  ...  The study also considers contextual effects by investigating the network density and demographic composition of a boundary spanner's social network of key counterparts from a partner organization.  ...  heterogeneous "buy-in" network than with a homogeneous one.  ... 
doi:10.2139/ssrn.388361 fatcat:bx45jliw2vd2lmovqhk64emqaa

Social capital, deprivation and self-rated health: Does reporting heterogeneity play a role? Results from the English Longitudinal Study of Ageing

M.G. O'Doherty, D. French, A. Steptoe, F. Kee
2017 Social Science and Medicine  
<0.001) were more likely to report poor 17 SRH in HOPIT models accounting for reporting heterogeneity, but unadjusted ordered probit 18 analyses still correctly show a negative relationship between low  ...  Analysis employed 14 a hierarchical probit model (HOPIT). 15 Individuals expressing low local area & trust social capital (beta= -0.276, p<0.001) 16 and those with poor social networks (beta= -0.280, p  ...  our main analysis. 367What our results show is that low local area & trust and poor social networks are 368 associated with poorer SRH in HOPIT models accounting for reporting heterogeneity, but 369 while  ... 
doi:10.1016/j.socscimed.2017.03.006 pmid:28288315 fatcat:hqkt2p5huralrpc5hdtecmqjwi

Credibility Analysis in Social Big Data [chapter]

Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra
2021 Social Big Data Analytics  
Hence, there is a need for well comprehending of social trust to improve and expand the analysis process and inferring credibility of social big data.  ...  Finally, a case study is presented that incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness in numerous domains in different time periods.  ...  Graph-based Social Trust: Podobnik et al. [43] propose a model that calculates trust between friends in a network graph based on weights of the edges between user's connected friends in Facebook.  ... 
doi:10.1007/978-981-33-6652-7_3 fatcat:u6qeabapozeepfmynw3c27gmke

Clarifying Trust in Social Internet of Things

Zhiting Lin, Liang Dong
2018 IEEE Transactions on Knowledge and Data Engineering  
However, there are limitations in the existing trust models. In this paper, a comprehensive model of trust is proposed that is tailored to the social IoT.  ...  With network connectivities that are from real-world social networks, a series of simulations are conducted to evaluate the performance of the social IoT operated with the proposed trust model.  ...  In this paper, we propose a comprehensive model of trust for the social IoT and discuss in detail the concepts of trust among objects.  ... 
doi:10.1109/tkde.2017.2762678 fatcat:mc3z6uvzwfb37kz6pktfrn2chy

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data [article]

Xujiang Zhao, Feng Chen, Jin-Hee Cho
2019 arXiv   pre-print
Due to high simplicity and applicability, SL has been substantially applied in a variety of decision making in the area of cybersecurity, opinion models, trust models, and/or social network analysis.  ...  Network (GCN) and the Gated Recurrent Units (GRU) for modeling the topological and temporal heterogeneous dependency information of a given dynamic network; (2) modeling conflicting opinions based on robust  ...  Experimental Settings 1) Semi-synthetic Epinions dataset: We use the Epinions dataset [1] representing a who-trust-who in an online social network.  ... 
arXiv:1910.05640v1 fatcat:pehnaakfgnc3nepp3eevvu6wja
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