Mobility Prediction-Based Source Anonymity Routing Protocol (Mpsarp) For Source Location Privacy

Resumen

According to the information and technology, the three most crucial criteria of achieving
success are also the three most important factors in safeguarding privacy in the twenty-first
century. As a result, we should keep a close check on all the huge organizations that are
watching — companies like Google, Twitter, and Facebook, as well as AT&T and Verizon,
to name a few — to make sure they aren't spying on. Every one of these businesses has
recently added location-based services to their product or service offerings (or is in the
process of doing so). Even though I don't reside in a particularly large geographical area,
Twitter can now know not only what city I'm in, but also what neighbourhood I'm in.
Consumers today are faced with the reality of walking about with a beacon that constantly
transmits information about their location to a central server. The cell phones, while capable
of broadcasting incredibly precise information about our places and movements, are not the
only gadgets that can do so. In order to address these problems, the study suggested
MPSARP, a means of ensuring location privacy across a wireless network (Mobility
prediction-based source anonymity routing protocol). Our proposal is for an Anonymous
Location-based and Efficient Routing system that offers good anonymity protection at a
reasonable cost while maintaining great performance (MPSARP). By dynamically
partitioning a network field into zones and randomly picking nodes inside zones to serve as
intermediary relay nodes, this approach provides a nontraceable anonymous route that is not
traceable by the user, resulting in a nontraceable anonymous route that is not traceable by the
user.