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Wireless Personal Communications

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26-12-2017

TBFN: Trust Based Friend Network Design by Analyzing User’s Voice Call and SMS Pattern

Authors: Debashis De, Biplab Chandra Dey

Published in: Wireless Personal Communications | Issue 2/2018

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Abstract

Due to rapid development of Web 2.0 Technology social networking have gained explosive growth. This paper proposes a comparatively new approach to build a trust based social network named Trust Based Friend Net (TBFN) for smartphone users. In TBFN, call log and sms log extracted from user’s smartphone are outsourced into the corresponding social network cloud. Analyzing those real datasets the cloud service provider determines trust values of different direct and indirect friends of smartphone users. Global analysis of everyone’s data results in forming a trusted global social network that is free from fake profiles and that minimizes unscrupulous activities.

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De, D. (2016). Mobile cloud computing: Architectures, algorithms and applications (pp. 1–357). Boca Raton: CRC Press.CrossRef

Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing: Architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18), 1587–1611.CrossRef

Qureshi, S. S., Ahmad, T., Rafique, K., Islam, S. U. (2011). Mobile cloud computing as future for mobile applications—Implementation methods and challenging issues. In IEEE CCIS (pp. 467–471).

Mukherjee, A., Gupta, P., De, D. (2014). Mobile cloud computing based energy efficient offloading strategies for femtocell network. In Applications and innovations in mobile computing, IEEE (pp. 28–35).

Chard, K., Bubendorfer, K., Caton, S., & Rana, O. F. (2012). Social cloud computing: A vision for socially motivated resource sharing. IEEE Transactions on Services Computing, 5(4), 551–563. https://doi.org/10.1109/tsc.2011.39.CrossRef

http://www.statisticbrain.com/social-networking-statistics/. Accessed 30th June 2014. Source: Browser Media, Socialnomics, MacWorld. Research Date: 1.1.2014.

Kim, M., & Park, S. O. (2013). Trust management on user behavioral patterns for a mobile cloud computing. Cluster Computing, 16(4), 725–731.CrossRef

Liu, G., Wang, Y., & Orgun, M. (2009). Trust inference in complex trust-oriented social networks. In CSE’09 international conference on computational science and engineering, IEEE (Vol. 4).

Kim, S., Han, S. (2009). The method of inferring trust in web-based social network using fuzzy logic. In International workshop on machine intelligence research (pp. 140–144).

10.

Oh, H. J., Ozkaya, E., & LaRose, R. (2014). How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction. Computers in Human Behavior, 30, 69–78.CrossRef

11.

Mahan, J. E., III, Seo, W. J., Jordan, J. S., & Funk, D. (2014). Exploring the impact of social networking sites on running involvement, running behavior, and social life satisfaction. Sport Management Review. https://doi.org/10.1016/j.smr.2014.02.006.

12.

De, D., Mukherjee, A. (2014). Femtocell based economic health monitoring scheme using mobile cloud computing. In International advance computing conference, IEEE (pp. 385–390).

13.

Fire, M., Kagan, D., Elyashar, A., & Elovici, Y. (2014). Friend or foe? Fake profile identification in online social networks. Social Network Analysis and Mining. https://doi.org/10.1007/s13278-014-0194-4.

14.

Perez, C., Birregah, B., & Lemercier, M. (2013). A smartphone-based online social network trust evaluation system. Social Network Analysis and Mining, 3(4), 1293–1310.CrossRef

15.

Chen, S., Wang, G., & Jia, W. (2013). A trust model using implicit call behavioral graph for mobile cloud computing (Vol. 8300, pp. 387–402). Cham: Springer International Publishing.

16.

Xin, L., Leyi, S., Yao, W., Zhaojun, X., Wenjing, F. (2013). A dynamic trust conference algorithm for social network. In IEEE international conference on P2P, parallel, grid, cloud and internet computing (pp. 340–346).

17.

Adali, S., Escriva, R., Goldberg, M. K., Hayvanovych, M., Magdon-Ismail, M., Szymanski, B. K., Wallace, W. A., Williams, G. (2010). Measuring behavioral trust in social networks. In Intelligence and security informatics (ISI), IEEE (pp. 150–152).

18.

Matsuo, Y., Tomobe, H., Hasida, K., & Ishizuka, M. (2004). Finding social network for trust calculation. ECAI, 16, 510.

19.

Jiang, W., Wang, G., & Wu, J. (2014). Generating trusted graphs for trust evaluation in online social networks. Future Generation Computer Systems, 31, 48–58.CrossRef

20.

Mukherjee, A., Bhattacherjee, S., Pal, S., & De, D. (2013). Femtocell based green power consumption methods for mobile network. Computer Networks, 57(1), 162–178.CrossRef

21.

http://www.emarketer.com/Article/Social-Networking-Reaches-Nearly-One-Four-Around-World/1009976, Accessed 30th June 2014.

22.

Choi, S., Chung, K., & Yu, H. (2013). Fault tolerance and QoS scheduling using CAN in mobile social cloud computing. Cluster Computing. https://doi.org/10.1007/s10586-013-0286-3.

23.

Li, W., Wu, J., Zhang, Q., Hu, K., & Li, J. (2014). Trust-driven and QoS demand clustering analysis based cloud workflow scheduling strategies. Cluster Computing. https://doi.org/10.1007/s10586-013-0340-1.

24.

Hussain, M., & Abdulsalam, H. M. (2012). Software quality in the clouds: a cloud-based solution. Cluster Computing, 17(2), 389–402.CrossRef

25.

Chen, S., Wang, G., & Jia, W. (2015). k-FuzzyTrust: Efficient trust computation for large-scale mobile social networks using a fuzzy implicit social graph. Information Sciences. https://doi.org/10.1016/j.ins.2014.09.058.MathSciNet

Title: TBFN: Trust Based Friend Network Design by Analyzing User’s Voice Call and SMS Pattern
Authors: Debashis De
Biplab Chandra Dey
Publication date: 26-12-2017
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 2/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-017-5150-y

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