Accessibility Analysis of Multilingual Websites for Persons with Visual Impairments

Location-based services (LBS) need users to incessantly report their location to a probably untrusted server to get services supported their location, which might expose them to privacy risks. Unfortunately, existing privacypreserving techniques for LBS have many limitations, like requiring a fully-trusted third party, providing restricted privacy guarantees and acquisition high communication overhead. In this paper, we propose a user defined privacy grid model known as dynamic grid system(DGS), the primary holistic system that accomplish four important needs for privacy-preserving snapshot and continuous LBS. (1) the system solely needs a semi-trusted third party, liable for finishing up straightforward matching operations properly. This semi-trusted third party doesn't have any data a few users’ location. (2) Secure photo and continuous location privacy is secure under our outlined somebody models. (3) The communication price for the user doesn't depend upon the user’s desired privacy level; it solely depends on the quantity of relevant points of interest within the neighborhood of the user. (4) though we tend to solely concentrate on vary and k-nearest-neighbor queries during this work, our system will be simply extended to support different spacial queries while not dynamical the algorithms pass the semi-trusted Third party and also the info server provided the desired search space of a spacial question will be abstracted into spacial regions Experimental results show that our DGS is a lot of economical than the progressive privacy-preserving technique for continuous LBS.