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Balancing security and privacy with data usefulness and efficiency in wireless sensor networks

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

A Wireless Sensor Network (WSN) refers to a collection of low-power
wireless devices connected through radio communication facilities. These
devices have limited processing speed, storage capacity, and communication
bandwidth. They can be deployed in a distributed environment sensing,
monitoring or collecting data, processing and communicating the data and
coordinating actions with other peers or nodes at a higher hierarchy in a
infrastructural setting. Such WSNs have a wide range of potential
applications including utilities, transportation system automation, and
patients? medical condition monitoring, etc. Some of these application
areas impose stringent privacy and security requirements on data
transmissions, processing and management.

Assuming reliable cryptographic techniques can be used to provide
communication security, it is not clear how data privacy could be
preserved in such a context. In addition, cryptographic techniques are
computationally expensive, and inappropriate use of these techniques could
lead to excessive computing power and energy consumption. The aim of this
Ph.D. project is to investigate and research efficient and cost-effective
measures to achieve security and preserve privacy in a WSN environment.

Funding Notes

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.


Supervisor's Webpage

Related Subjects

How good is research at University of Manchester in Computer Science and Informatics?

FTE Category A staff submitted: 44.86

Research output data provided by the Research Excellence Framework (REF)

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