Campuf Physically Unclonable Function Based On Cmos Image Sensor Fixed
Pattern Noise
- doi: 10.1109/DAC.2018.8465908
-
title: CamPUF: Physically Unclonable Function based on
CMOS Image Sensor Fixed Pattern Noise
- publisher: IEEE
- isbn: 978-1-5386-4115-6
- issn:
- rank: 1890
- access_type: LOCKED
- content_type: Conferences
-
abstract: Physically unclonable functions (PUFs) have
proved to be an effective measure for secure device authentication and
key generation. We propose a novel PUF design, named CamPUF, based on
commercial off-the-shelf CMOS image sensors, which are ubiquitously
available in almost all mobile devices. The inherent process mismatch
between pixel sensors and readout circuits in an image sensor manifests
as unique fixed pattern noise (FPN) in the image. We exploit FPN caused
by dark signal non-uniformity (DSNU) as the basis for implementing the
PUF. DSNU can be extracted only from dark images that are not shared
with others, and only the legitimate user can obtain it with full
control of the image sensor. Compared to other FPN components that can
be extracted from shared images, DSNU facilitates more secure and usable
device authentication. We present an eficient and reliable key
generation procedure for use in wireless low-power devices. We implement
CamPUF on Google Nexus 5X and Nexus 5 and evaluate the uniqueness and
robustness of the keys, as well as its security against counterfeiting.
We demonstrate that it discriminates legitimate and illegitimate
authentication attempts without confusion.
- article_number: 8465908
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8465908
-
html_url:
https://ieeexplore.ieee.org/document/8465908/
-
abstract_url:
https://ieeexplore.ieee.org/document/8465908/
-
publication_title: 2018 55th ACM/ESDA/IEEE Design
Automation Conference (DAC)
- conference_location: San Francisco, CA, USA
- conference_dates: 24-28 June 2018
- publication_number: 8430031
- is_number: 8465567
- publication_year: 2018
- publication_date: 24-28 June 2018
- start_page: 1
- end_page: 6
- citing_paper_count: 9
- citing_patent_count: 0
- download_count: 483
- insert_date: 20180920
-
index_terms:
-
ieee_terms:
- Authentication
- Transform coding
- CMOS image sensors
- Temperature sensors
-
author_terms:
- physically unclonable function
- image sensor
- authentication
- fixed pattern noise
- dark signal non-uniformity
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Physical Unclonable Functions
- Fixed Pattern Noise
- Fixed-pattern Noise
- Mobile Devices
- Portable Devices
- Dark Images
- Key Generation
- Legitimate Users
- Low-power Devices
- Sensor Pixel
- Readout Circuit
- Quality Factor
- Q-factor
- Wearable Devices
- Wearable Technology
- Raw Images
- High-quality Images
- High Quality Images
- Dark Current
- Discrete Cosine Transform
- Bright Pixels
- Individual Sensors
- JPEG Images
- JPEG Files
- JPEG Compression
- Dark Pixels
- Brightest Pixel
- Temporal Noise
- Changes In Ambient Temperature
- JPEG Format
- Night Sky
- Smartphone
- Dominant Noise
- Registration Phase
- Enrollment Phase
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5386-4115-6,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5386-4114-9,
isbnType: New-2005
-
authors:
Image Sensor
- sensor_type: CMOS
-
resolution: 12-megapixel (Sony IMX377), 8-megapixel
(Sony IMX179)
- dynamic_range: Not specified
- pixel_size: Not specified
-
dark_current: Not specified (depends on temperature)
due to heavy temperature dependence on dark current variations,
identified as dark signal non-uniformity (DSNU) noise in dark images
used for PUF (Physically Unclonable Function) implementation by C₁ᵘFF
(CMOS Image Sensor based Fixed Pattern Noise). High dynamic range is
expected but not quantitatively mentioned in the provided text, as it
discusses the performance in terms of HD (Hamming Distance) rather than
specific signal or image quality attributes. DSNU and noise sources are
highlighted as major contributors to performance characteristics.
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
-
noise: Addressed in terms of dark signal non-uniformity
affecting the pixel array and inferenced to be low, but specific
numerical values are not provided.
Applications & Benefits
-
cell_imaging: Implies usage for security related
applications (i.e., in mobile devices) through PUF for device
authentication and security measures, maintaining user privacy and
safety.
-
benefits: Implements a practical and efficient method
leveraging the existing CMOS image sensors in mobile devices,
facilitating device and data authentication without requiring custom
hardware, thus reducing costs and enhancing security.
Supporting Organizations
-
supported_by: National Science Foundation under Grant
No. CNS-1719336
Manuscript Details
- publication_date: 24-28 June 2018
Relevancy Score
- score: 9
-
missing_fields:
- pixel_size
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
Processed JSON Filename
request_122e5255-b8e0-4d8b-a378-546f684a67b0-campuf_physically_unclonable_function_based_on_cmos_image_sensor_fixed_pattern_noise.json