Team for Research in
Ubiquitous Secure Technology

Can Selective Sensing Protect Democratic Principles and Enhance Policing?
Deirdre Mulligan, Stephen Wicker

Citation
Deirdre Mulligan, Stephen Wicker. "Can Selective Sensing Protect Democratic Principles and Enhance Policing?". Talk or presentation, 10, October, 2007.

Abstract
The evolution of sensor networks able to detect various physical phenomena presents an opportunity to reduce the dependence of law enforcement and intelligence agencies on visual surveillance as a means of policing and intelligence gathering. The use of specific sensing technologies has the capacity to produce more salient data to support specific policing activities. It has the added benefit of reducing the effect of surveillance on certain forms of privacy by limiting the collection of data that reveals or eases the revelation of identity, limiting the ease with which data can be repurposed, and limiting the misuse and abuse of systems to track and monitor subsets of the population based on animus, bias, or voyeurism. This paper examines the existing rules that govern police/citizen interactions and uses them to construct a mock sensor network that would collect more relevant data for policing while limiting the unintended negative effects on privacy.

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Citation formats  
  • HTML
    Deirdre Mulligan, Stephen Wicker. <a
    href="http://www.truststc.org/pubs/289.html"
    ><i>Can Selective Sensing Protect Democratic
    Principles and Enhance Policing?</i></a>, Talk
    or presentation,  10, October, 2007.
  • Plain text
    Deirdre Mulligan, Stephen Wicker. "Can Selective
    Sensing Protect Democratic Principles and Enhance
    Policing?". Talk or presentation,  10, October, 2007.
  • BibTeX
    @presentation{MulliganWicker07_CanSelectiveSensingProtectDemocraticPrinciplesEnhance,
        author = {Deirdre Mulligan and Stephen Wicker},
        title = {Can Selective Sensing Protect Democratic
                  Principles and Enhance Policing?},
        day = {10},
        month = {October},
        year = {2007},
        abstract = {The evolution of sensor networks able to detect
                  various physical phenomena presents an opportunity
                  to reduce the dependence of law enforcement and
                  intelligence agencies on visual surveillance as a
                  means of policing and intelligence gathering. The
                  use of specific sensing technologies has the
                  capacity to produce more salient data to support
                  specific policing activities. It has the added
                  benefit of reducing the effect of surveillance on
                  certain forms of privacy by limiting the
                  collection of data that reveals or eases the
                  revelation of identity, limiting the ease with
                  which data can be repurposed, and limiting the
                  misuse and abuse of systems to track and monitor
                  subsets of the population based on animus, bias,
                  or voyeurism. This paper examines the existing
                  rules that govern police/citizen interactions and
                  uses them to construct a mock sensor network that
                  would collect more relevant data for policing
                  while limiting the unintended negative effects on
                  privacy.},
        URL = {http://www.truststc.org/pubs/289.html}
    }
    

Posted by Larry Rohrbough on 16 Oct 2007.
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