Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Attacks/Breaches

11/15/2010
05:04 PM
Dark Reading
Dark Reading
Products and Releases
50%
50%

SIA Challenges NRC Findings On Biometrics

Report fails to acknowledge recent advances in technology, association says

ALEXANDRIA, Va. – A recent National Research Council (NRC) report that sharply criticized biometrics relies on data that is several years old and provides no new insights into the use of the technology, the Security Industry Association (SIA) argues in a recently released response.

On Sept. 24, the NRC released Biometric Recognition: Challenges and Opportunities, a nearly 200-page report that concluded, among other things, that biometric technology is “inherently fallible” and that “The scientific basis of biometrics … needs strengthening.”

In its response, SIA acknowledged that “Every nascent technology has limitations,” but cautioned against interpreting the NRC report as a refutation of biometrics.

“In general, the report outlines the fundamental realities and constraints of biometrics,” SIA stated. “This information is not new to anyone who has been involved in the field … While the report provides useful recommendations for further research, many of its findings are outdated. There have been many significant advances in biometrics technology, testing and standards since the bulk of the NRC’s research for the report concluded in 2006.”

SIA goes on to offer a vigorous defense of biometrics.

“Biometrics technology,” SIA stated, “has the potential to change society to the same degree as Alexander Fleming’s penicillin, Henry Ford’s mass production of the automobile or the Wright brothers’ airplane. … Biometric technology can answer the question, ‘Are you who you claim you are?’ Open standards are available and are constantly being enhanced to further develop this technology and provide a more unified approach to verifying an individual’s identity. Biometrics provide an effective countermeasure against fraud and identity theft in applications as diverse as personal access to buildings and computers, banking security, business-to-business transactions and e-commerce.”

SIA concluded its response by asserting that “automatic biometric systems are here to stay because of their ability to tie an undisputable physical attribute to an individual.”

The Security Industry Association (www.siaonline.org) is the leading trade group for businesses in the electronic and physical security market. SIA protects and advances its members' interests by advocating pro-industry policies and legislation on Capitol Hill and throughout the 50 states; producing cutting-edge global market research; creating open industry standards that enable integration; advancing industry professionalism through education and training; opening global market opportunities; and providing sole sponsorship of the ISC Expos, the world's largest security trade shows and conferences.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/25/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Special Report: Computing's New Normal
This special report examines how IT security organizations have adapted to the "new normal" of computing and what the long-term effects will be. Read it and get a unique set of perspectives on issues ranging from new threats & vulnerabilities as a result of remote working to how enterprise security strategy will be affected long term.
Flash Poll
How IT Security Organizations are Attacking the Cybersecurity Problem
How IT Security Organizations are Attacking the Cybersecurity Problem
The COVID-19 pandemic turned the world -- and enterprise computing -- on end. Here's a look at how cybersecurity teams are retrenching their defense strategies, rebuilding their teams, and selecting new technologies to stop the oncoming rise of online attacks.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...