PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects

. PAM: An Efficient and Privacy-Aware

Monitoring Framework for Continuously Moving Objects

Abstract

Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a privacy-aware monitoring (PAM) framework that addresses both issues. The framework distinguishes itself from the existing work by being the first to holistically address the issues of location updating in terms of monitoring accuracy, efficiency, and privacy, particularly, when and how mobile clients should send location updates to the server. Based on the notions of safe region and most probable result, PAM performs location updates only when they would likely alter the query results. Furthermore, by designing various client update strategies, the framework is flexible and able to optimize accuracy, privacy, or efficiency. We develop efficient query evaluation/reevaluation and safe region computation algorithms in the framework. The experimental results show that PAM substantially outperforms traditional schemes in terms of monitoring accuracy, CPU cost, and scalability while achieving close-to-optimal communication cost.

Existing System:

The accuracy is low since the query results are correct only at the time instances of periodic updates, but not in between them or at any time of deviation updates.

The updates are performed regardless of the existence of Queries a high update frequency may improve the monitoring accuracy, but is at the cost of unnecessary updates and query reevaluation.

The privacy issue is simply ignored by assuming that the clients are always willing to provide their exact positions to the server.

Proposed System:

In our approach to maintain safe region we have object index, Query index, the query processor and location manager.As for efficiency, the framework significantly reduces location updates to only when an object is moving out of the safe region, and thus, is very likely to alter the query results.

The safe region is computed based on the queries in such a way that the current results  of all queries remain valid as long as all objects reside inside their respective    safe regions.

Modules:

Ø  Privacy-Aware Location Model.

Ø  Object Index

Ø  Query Index

Ø  Query Processor and Location Manager.

Ø  Spatial Relations

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