Finding Topic Experts and Inference Attacks On User Privacy Data in Twitter

Ashwitha Rajendran; Ragini; Sarala; Jonisha S

doi:10.21276/ijirem.2018.5.1.10

Abstract

Twitter is one of the popular applications in social network which is used for sharing tweets among friends and other users.In this Paper, We propose an attack technique for inferring the clicks on shortened URLs in Twitter. The URL shortening services provides short alias of services from long URL for sharing tweets .Most of the experts can be found on twitter via searching through articles and blog posts, then following a link on their site to twitter. It seems to be much more effective way to find topic experts in Twitter.

Keywords

Expert Search, Meta Data, Public Click Analytics

Reference

[1]. V. Qazvinian, E. Rosengren, D.-R.Radev, and Q.-Z. Mei, â€•Rumorhas it: Identifying misinformation in microblogs,â€– in Proc. Conf. Empirical Methods Natural Language Process. 2011, pp. 1589–1599.

[2]. J.Canny,â€•Collaborative filtering with privacyâ€– in Proceedings 2002 IEEE Symposium on Security and Privacy

[3]. E. W. Felten, M. A. Schneider, "Timing attacks on web privacy", Proc. 7th ACM Conf. Comput. Comm. Secur. (CCS), pp. 25-32, 2000.

[4]. A. Pal and S. Counts, â€•Identifying topical authorities in microblogs,â€– in Proc. ACM Int. Conf. Web Search Data Mining, 2011, pp. 45–54.

[5]. X. Liu, W. B. Croft, and M. Koll, â€•Finding experts in communitybased Question-answering services,â€– in Proc. ACM Conf. Inf. Knowl. Manag., 2005, pp. 315–316.

Cites this article as

[Ashwitha Rajendran , Ragini , Sarala, Jonisha S (2018), Finding Topic Experts and Inference Attacks On User Privacy Data in Twitter, International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-5, Issue-1, Page No-50-51], (ISSN 2347 - 5552). www.ijirem.org