How can electronic surveillance mislead data-driven decision support?

by Dan Power


Surveillance refers to close observation and data gathering relevant to the behavior of a person or group. Various methods can be used to obtain data and information, to establish connections among people, and to establish a personís location. Surveillance involves monitoring activities of people, places or objects. Video cameras, mobile phones, and microphones can be used for covert surveillance. Also, these electronic surveillance devices can capture and then store huge quantities of data. All of the data is not necessarily accurate and some might actually be misleading.

Counter-surveillance devices can help one recognize that surveillance is occurring and also help develop suitable counter-measures. The use of electronic counter-measures can add noise and erroneous data to both passive and active data capture and hence data analysis becomes more complex. For example, a handheld radio spectrum analyzer helps detect electronic surveillance devices. Awareness of surveillance is important because it helps one deploy and use simple and complex counter-measures to limit or distort data gathering.

Electronic surveillance can mislead analysts. Too often the presumption is that surveillance data is accurate and unbiased.

References and Resources

HEAT (Hostile Environment Awareness Training) at URL

RF Explorer ó Handheld RF Spectrum Analyzer at URL

Last update: 2019-12-01 05:19
Author: Daniel Power

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