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Robust Social Recommendation Techniques: A Review [chapter]

Feng Jiang, Min Gao, Qingyu Xiong, Junhao Wen, Yi Zhang
2016 IFIP Advances in Information and Communication Technology  
models based on social relationships, the analysis of the relationships in social networks as well as the roles of relationships on recommendation, and robust social recommendation approaches taking multiple  ...  Social recommendation plays an important role in solving the cold start problem in recommendation systems and improves the accuracy of recommendation, but still faces serious challenges and problems.  ...  The detection on fake users in the traditional recommendation system [19, 20, 21] , the recommendation based on the calculation of trust degree or target items' abnormality [24, 25] and the detection  ... 
doi:10.1007/978-3-319-42102-5_6 fatcat:ilukv2qywjgdzfxyxcdds4umte

Comparative trust management with applications: Bayesian approaches emphasis

Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, Amit Sheth
2014 Future generations computer systems  
There is a need to find online substitutes for traditional (direct or face-to-face) cues to derive measures of trust, and create efficient and robust systems for managing trust in order to support decisionmaking  ...  We also provide details of the theoretical underpinnings and comparative analysis of Bayesian approaches to binary and multilevel trust, to automatically determine trustworthiness in a variety of reputation  ...  ACKNOWLEDGEMENT We thank the reviewers for their insightful suggestions that have improved the organization and presentation of our work.  ... 
doi:10.1016/j.future.2013.05.006 fatcat:bgrrhrvabzhxhgvyovbto5joom

A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model

Jia Dongyan, Zhang Fuzhi
2014 Journal of Computers  
Index Terms-robust collaborative recommendation, trustworthy neighborhood model, multidimensional trust model, matrix factorization, recommender systems Jia Dongyan was born in 1983.  ...  To solve this problem, in this paper we propose a robust collaborative recommendation algorithm incorporating trustworthy neighborhood model.  ...  Therefore, the robustness of recommender systems based on collaborative filtering is poor. To solve this problem, some robust collaborative recommendation approaches have been proposed.  ... 
doi:10.4304/jcp.9.10.2328-2334 fatcat:zo3tsg2gvzcsxfhnanodflfbmy

Addressing Common Vulnerabilities of Reputation Systems for Electronic Commerce

Yuan Yao, Sini Ruohomaa, Feng Xu
2012 Journal of Theoretical and Applied Electronic Commerce Research  
Req. 5 -Recommendation credibility evaluation: In any distributed system, there are few elements that can be completely trusted.  ...  In contrast, we focus on the e-Commerce environment, while including systems from other fields to broaden our analysis of different solutions.  ...  All system design should involve an analysis of the specific robustness and security needs of that system.  ... 
doi:10.4067/s0718-18762012000100002 fatcat:xigghwf7ofaifmiv5ayddijesy

Is trust robust?

John O'Donovan, Barry Smyth
2006 Proceedings of the 11th international conference on Intelligent user interfaces - IUI '06  
In our analysis we also consider factors of quality and accuracy of recommendations.  ...  In this paper we examine the effect of using five different trust models in the recommendation process on the robustness of collaborative filtering in an attack situation.  ...  We propose several trust-based techniques for improving the robustness of collaborative recommenders in the face of these attacks.  ... 
doi:10.1145/1111449.1111476 dblp:conf/iui/ODonovanS06 fatcat:xe5y6bcg4bgspdjnvdt6gbh2oy

Trust Aware System for Social Networks: A Comprehensive Survey

Manasa S., Manjula S., Venugopal K.
2017 International Journal of Computer Applications  
Hence a trust worthy system is recommended for differentiating the real and fake users.  ...  Hence to provide a trustworthy system and to enable real users activities a review on different methods to achieve trustworthy social networking systems are examined in this paper.  ...  Section 7 describes about Trust based Web Recommendations and link analysis. Fig. 1 . 1 Fig. 1. System Architecture of Social Networks Fig. 2 . 2 Fig. 2.  ... 
doi:10.5120/ijca2017913307 fatcat:2xc5xryfcfewhnf7hjg5jhqjaa

LSOT: A Lightweight Self-Organized Trust Model in VANETs

Zhiquan Liu, Jianfeng Ma, Zhongyuan Jiang, Hui Zhu, Yinbin Miao
2016 Mobile Information Systems  
the trust network and propose a maximum local trust (MLT) algorithm to identify trustworthy recommenders in recommendation-based trust evaluation.  ...  The results illustrate that our LSOT model significantly outperforms the excellent experience-based trust (EBT) and Lightweight Cross-domain Trust (LCT) models in terms of evaluation performance and robustness  ...  collusion attack which is an open problem in the area of trust and reputation system [14] , while the existing selforganized trust schemes rarely consider the robustness against the collusion attack.  ... 
doi:10.1155/2016/7628231 fatcat:3g4mqsboefgvrkdssfzaw7ouvq

Gateway based Trust Management System for Internet of Things

Madhura Apte, Supriya Kelkar, Aishwarya Dorge, Shilpa Deshpande, Pooja Bomble, Anushka Dhamankar
2021 Revista GEINTEC  
This paper proposes a gateway based trust management system and an algorithm for computation of trust for the devices.  ...  The system focuses on making the computations on the devices lightweight and the network robust.  ...  Authors in [16] proposed a recommendation based technique for selection of devices in IoT systems, meant for smart cities.  ... 
doi:10.47059/revistageintec.v11i4.2501 fatcat:ufny6xjxvnewdephxz6sujtul4

Robust and Accurate Trust Establishment Scheme for Wireless Sensor Network

Audrey NANGUE, University of Dschang, Dschang, Cameroon, Elie FUTE TAGNE, Emmanuel TONYE
2020 International Journal of Computer Network and Information Security  
To improve the cooperation and security of wireless sensor networks, the use of Trust Management Systems (TMS) is increasingly recommended due to their low resource consumption.  ...  The various existing trust management systems differ in their methods of estimating trust value. The existing ones are very rigid and not very accurate.  ...  [10] proposed penalty-based, reward based, sliding-size-time-based trust estimation system to evaluate the direct trust of nodes.  ... 
doi:10.5815/ijcnis.2020.06.02 fatcat:nnuwz7p5knd3dpbvay5rhm6kiy

Reviewer Credibility and Sentiment Analysis based User Profile Modelling for Online Product Recommendation

Shigang Hu, Akshi Kumar, Fadi Al-Turjman, Shivam Gupta, Simran Seth, Shubham
2020 IEEE Access  
To make our model robust to fake and unworthy reviews and reviewers, reviewer credibility analysis proffers an approach of associating expertise, trust and influence scores with reviewers to weigh their  ...  INDEX TERMS Recommendation system, sentiment analysis, user credibility, user interest.  ...  There are two major paradigms of recommender systems, collaborative filtering and content-based methods.  ... 
doi:10.1109/access.2020.2971087 fatcat:23mozn64vrbfdffq6cbtiglkeq

A User Trust-Based Collaborative Filtering Recommendation Algorithm [chapter]

Fuzhi Zhang, Long Bai, Feng Gao
2009 Lecture Notes in Computer Science  
With this problem in mind, in this paper we introduce the social trust of the users into the recommender system and build the trust relation between them.  ...  Experimental results show that the proposed algorithm outperforms the traditional user-based and item-based collaborative filtering algorithm in recommendation accuracy, especially in the face of malicious  ...  Robustness Analysis In order to evaluate the robustness of the algorithm, we inserted some malicious ratings into the original data set.  ... 
doi:10.1007/978-3-642-11145-7_32 fatcat:z5khsnwkpbbotlvasxbjihrbmm

TruBeRepec: a trust-behavior-based reputation and recommender system for mobile applications

Zheng Yan, Peng Zhang, Robert H. Deng
2011 Personal and Ubiquitous Computing  
This paper proposes TruBeRepec, a trust-behavior-based reputation and recommender system for mobile applications.  ...  individual trust and provide application recommendations based on the correlation of trust behaviors.  ...  Reputation and recommender systems A category of large practical importance is reputation-based trust management system, in short, reputation system.  ... 
doi:10.1007/s00779-011-0420-2 fatcat:rifkszeh4vh5phrsyds5bylj44

A survey of trust management systems for online social communities – Trust modeling, trust inference and attacks

Yefeng Ruan, Arjan Durresi
2016 Knowledge-Based Systems  
Trust can help participants in online social communities to make decisions; however, it is a challenge for systems to map trust into computational models because of its subjective property.  ...  We provide a survey of existing trust management systems for online social communities. We also list four types of attacks, and analyze existing systems' vulnerabilities.  ...  Analysis of vulnerability to attacks In the above section, we listed four types of potential attacks in trust management systems.  ... 
doi:10.1016/j.knosys.2016.05.042 fatcat:34ilydu4sjgjfoziqwx77ruoxu

Service Dynamic Trust Evaluation Model based on Bayesian Network in Distributed Computing Environment

Libin Wang, Xiangjun Li, Xinquan Yan, Song Qing, Yuanlu Chen
2015 International Journal of Security and Its Applications  
Secondly, a more comprehensive dynamic trust evaluation model is constructed based on Bayesian network.  ...  In recent years, with the rapid development of computer network, distributed computing system has a very vast application prospect and potential utility value, which opens up a wealth of opportunities  ...  The context-based trust model performs the worst among the three models; while the model proposed in this paper improve the performance in stability and robustness: the ratios of its performance to normal  ... 
doi:10.14257/ijsia.2015.9.5.03 fatcat:coo57bcgbjcozcgzq2klqk44ia

Trust Management for Ubiquitous Healthcare

Weiwei Yuan, Donghai Guan, Sungyoung Lee
2008 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications  
Based on each agent's confidence of its personal experience on other agents, three naïve Bayes classifier based algorithms are introduced for the trust evaluation: the robust experience algorithm, the  ...  As the cornerstone of effective patient-physician relationships in the traditional healthcare infrastructures, trust faces new opportunities and challenges in the ubiquitous healthcare.  ...  It includes a coherent adaptive trust model for quantifying and comparing the trustworthiness of peers based on a transaction-based feedback system.  ... 
doi:10.1109/ispa.2008.117 dblp:conf/ispa/YuanGL08 fatcat:5rudl74s6rfllc3sgfs4elmeoa
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