By Jan-Min Chen (auth.), Guojun Wang, Indrakshi Ray, Dengguo Feng, Muttukrishnan Rajarajan (eds.)
This e-book constitutes the court cases of the fifth foreign Symposium on our on-line world security and safety, CSS 2013, held in Zhangjiajie, China, in November 2013. The 30 complete papers offered during this quantity have been rigorously reviewed and chosen from one hundred and five submissions. furthermore the booklet comprises 6 workshop papers. The papers are geared up in topical sections named: facts and purposes defense; community and communications safety; software program and platforms safety; and cloud protection and our on-line world safety.
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4. Transformation based on the Hilbert space-filling curve privacy of the solution relies on the large number of Hilbert curve parameter choices. We employ the Function Generator to distribute the STP to users and LSP. ,3 minites). Getting the STP from the Function generator, user can construct a lattice system with 2N ∗ 2N grid cells in scale Θ, the centre point of each cell is regarded as point in a space of finite granularity. If we assume the lower-left corner of each cell is the origin of coordinates in the cell space, denoted as (xc , yc ), so the user’s offset coordinate, denoted as (xu , yu )’, in corresponding grid cell < xu , yu >, can be defined as relative position between the user real location (xu , yu ) to the origin of coordinates (xc , yc ) by scale.
The second common method used by attackers is to get the permission to use the manager pages of Web background. Attackers may use SQL injection or password-guessing to get the weak password, and then obtain the control of the Web background. , "one-word" web shell to PHP, ASP, ASPX, JSP) to leave backdoors. G. Wang et al. ): CSS 2013, LNCS 8300, pp. 29–39, 2013. © Springer International Publishing Switzerland 2013 30 A. Mi et al. We can see that resisting tampering of Web pages not only protects the integrity of single page, but also perceives and denies the illegal uploading or other illegal options initiatively.
Microaggregation for database and location privacy. , Motro, A. ) NGITS 2006. LNCS, vol. 4032, pp. 106–116. Springer, Heidelberg (2006) 13. : k-anonymity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(5), 557–570 (2002) 14. : Location privacy in mobile systems: A personalized anonymization model. In: Proceedings of IEEE ICDCS, pp. 620–629 (2005) 15. : Preventing location-based identity inference in anonymous spatial queries. IEEE Transactions on Knowledge and Data Engineering 19(12), 1719–1733 (2007) 16.