Perceived Risks of Biometric Surveillance: A review of the literature

The use of biometric information as identification goes back thousands of years. However, considering technologies rapid development biometrics has changed. It is my belief that users of biometric surveillance systems should know where their data is going. The purpose of this project is to review literature that examines the dangers of using biometric identification for surveillance.

Authors

Publication Details

Journal
SUNY Digital Repository Support (State University of New York System)
Published
2026-08-17
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceived Risks of Biometric Surveillance: A review of the literature

Ashley Grant
SUNY Digital Repository Support (State University of New York System)
Biometric Identification and Security
article

Perceived Risks of Biometric Surveillance: A review of the literature

Ashley Grant
article en

Abstract

The use of biometric information as identification goes back thousands of years. However, considering technologies rapid development biometrics has changed. It is my belief that users of biometric surveillance systems should know where their data is going. The purpose of this project is to review literature that examines the dangers of using biometric identification for surveillance.

SUNY Digital Repository Support (State University of New York System)
Openalex Percentile: Top 8%
Biometric Identification and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.