27,926 research outputs found
Roadmap on optical security
Postprint (author's final draft
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large
dataset of off-axis iris regions and train a low-complexity deep neural
network. Although of low complexity the resulting network achieves a high level
of accuracy in iris region segmentation for challenging off-axis eye-patches.
Interestingly, this network is also shown to achieve high levels of performance
for regular, frontal, segmentation of iris regions, comparing favorably with
state-of-the-art techniques of significantly higher complexity. Due to its
lower complexity, this network is well suited for deployment in embedded
applications such as augmented and mixed reality headsets
A New Digital Watermarking Algorithm Using Combination of Least Significant Bit (LSB) and Inverse Bit
In this paper, we introduce a new digital watermarking algorithm using least
significant bit (LSB). LSB is used because of its little effect on the image.
This new algorithm is using LSB by inversing the binary values of the watermark
text and shifting the watermark according to the odd or even number of pixel
coordinates of image before embedding the watermark. The proposed algorithm is
flexible depending on the length of the watermark text. If the length of the
watermark text is more than ((MxN)/8)-2 the proposed algorithm will also embed
the extra of the watermark text in the second LSB. We compare our proposed
algorithm with the 1-LSB algorithm and Lee's algorithm using Peak
signal-to-noise ratio (PSNR). This new algorithm improved its quality of the
watermarked image. We also attack the watermarked image by using cropping and
adding noise and we got good results as well.Comment: 8 pages, 6 figures and 4 tables; Journal of Computing, Volume 3,
Issue 4, April 2011, ISSN 2151-961
Securing Interactive Sessions Using Mobile Device through Visual Channel and Visual Inspection
Communication channel established from a display to a device's camera is
known as visual channel, and it is helpful in securing key exchange protocol.
In this paper, we study how visual channel can be exploited by a network
terminal and mobile device to jointly verify information in an interactive
session, and how such information can be jointly presented in a user-friendly
manner, taking into account that the mobile device can only capture and display
a small region, and the user may only want to authenticate selective
regions-of-interests. Motivated by applications in Kiosk computing and
multi-factor authentication, we consider three security models: (1) the mobile
device is trusted, (2) at most one of the terminal or the mobile device is
dishonest, and (3) both the terminal and device are dishonest but they do not
collude or communicate. We give two protocols and investigate them under the
abovementioned models. We point out a form of replay attack that renders some
other straightforward implementations cumbersome to use. To enhance
user-friendliness, we propose a solution using visual cues embedded into the 2D
barcodes and incorporate the framework of "augmented reality" for easy
verifications through visual inspection. We give a proof-of-concept
implementation to show that our scheme is feasible in practice.Comment: 16 pages, 10 figure
Ubic: Bridging the gap between digital cryptography and the physical world
Advances in computing technology increasingly blur the boundary between the
digital domain and the physical world. Although the research community has
developed a large number of cryptographic primitives and has demonstrated their
usability in all-digital communication, many of them have not yet made their
way into the real world due to usability aspects. We aim to make another step
towards a tighter integration of digital cryptography into real world
interactions. We describe Ubic, a framework that allows users to bridge the gap
between digital cryptography and the physical world. Ubic relies on
head-mounted displays, like Google Glass, resource-friendly computer vision
techniques as well as mathematically sound cryptographic primitives to provide
users with better security and privacy guarantees. The framework covers key
cryptographic primitives, such as secure identification, document verification
using a novel secure physical document format, as well as content hiding. To
make a contribution of practical value, we focused on making Ubic as simple,
easily deployable, and user friendly as possible.Comment: In ESORICS 2014, volume 8712 of Lecture Notes in Computer Science,
pp. 56-75, Wroclaw, Poland, September 7-11, 2014. Springer, Berlin, German
- …