Optimization modeling and analysis of trustworthiness determination strategies for service discovery of MSNP

In trustworthy service discovery for Mobile Social Networking in Proximity (MSNP), conventional trust computation faces a big challenging issue—relatively high latency. To cope with it, trustworthiness determination strategies were proposed in our previous study, aiming at avoiding trust computation under certain conditions, so as to reduce the latency. These strategies are conceived based on the assumption that data of a user’s past experience and current profile could be used, and they are incorporated with a set of thresholds from the analysis result of these data. The settings of these thresholds directly affect service quality and user satisfaction on the MSNP service, which in turn becomes an optimization problem. In this paper, we focus on formulating this optimization problem and demonstrating the effectiveness of our proposed solution by designing a simulation experiment. In detail, we establish mathematical models and adjust parameters. We conduct simulations on MATLAB and analyze the results obtained under several different settings. We further compare our work with related works. The results show that our proposed solution is practically feasible and effective in reducing latency under certain conditions.

[1]  Weijia Jia,et al.  Cluster-group based trusted computing for mobile social networks using implicit social behavioral graph , 2016, Future Gener. Comput. Syst..

[2]  Sea Ling,et al.  Towards an adaptive mediation framework for Mobile Social Network in Proximity , 2014, Pervasive Mob. Comput..

[3]  Zhiyong Zhang,et al.  A novel crowd evaluation method for security and trustworthiness of online social networks platforms based on signaling theory , 2017, J. Comput. Sci..

[4]  Chii Chang,et al.  Service-oriented mobile social network in proximity , 2013 .

[5]  Jianhua Ma,et al.  Overview Mobile Social Networking in Proximity (MSNP): Applications, Characteristics and Challenges , 2013, 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing.

[6]  Jie Tang,et al.  SoRS: Social recommendation using global rating reputation and local rating similarity , 2016 .

[7]  Roksana Boreli,et al.  Environmental context aware trust in mobile P2P networks , 2011, 2011 IEEE 36th Conference on Local Computer Networks.

[8]  Sea Ling,et al.  Trustworthy service discovery for mobile social network in proximity , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

[9]  Florence Sèdes,et al.  Social collaborative service recommendation approach based on user's trust and domain-specific expertise , 2018, Future Gener. Comput. Syst..

[10]  Liang Chang,et al.  Context-Aware Service Ranking in Wireless Sensor Networks , 2012, Journal of Network and Systems Management.

[11]  Basit Qureshi,et al.  A distributed reputation and trust management scheme for mobile peer-to-peer networks , 2012, Comput. Commun..

[12]  Athanasios V. Vasilakos,et al.  Special Issue on Mobile Social Networking and computing in Proximity (MSNP) , 2016, Journal of computer and system sciences (Print).

[13]  Chunxiang Xu,et al.  A Secure and Efficient Privacy-Preserving Attribute Matchmaking Protocol in Proximity-Based Mobile Social Networks , 2014, ADMA.

[14]  Juan Li,et al.  MobiTrust: Trust Management System in Mobile Social Computing , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[15]  Jingsha He,et al.  A Group-Based Reputation Mechanism for Mobile P2P Networks , 2009, GPC.

[16]  Guanhua Yan,et al.  Privacy-Preserving Profile Matching for Proximity-Based Mobile Social Networking , 2013, IEEE Journal on Selected Areas in Communications.

[17]  Jianhua Ma,et al.  Survey on mobile social networking in proximity (MSNP): approaches, challenges and architecture , 2014, Wirel. Networks.

[18]  J. Wenny Rahayu,et al.  Trustworthy-based efficient data broadcast model for P2P interaction in resource-constrained wireless environments , 2012, J. Comput. Syst. Sci..

[19]  Athanasios V. Vasilakos,et al.  Device-to-Device based mobile social networking in proximity (MSNP) on smartphones: Framework, challenges and prototype , 2017, Future Gener. Comput. Syst..

[20]  Yufeng Wang,et al.  Service Discovery Based on Trustworthiness in MSNP: Major Issues, Potential Solutions, and Feasible Strategies , 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).

[21]  Yang Xiang,et al.  Trust computation for multiple routes recommendation in social network sites , 2014, Secur. Commun. Networks.

[22]  Sea Ling,et al.  Mobile social network in proximity: taxonomy, approaches and open challenges , 2015, Int. J. Pervasive Comput. Commun..