857 research outputs found
"The Good, The Bad And The Ugly": Evaluation of Wi-Fi Steganography
In this paper we propose a new method for the evaluation of network
steganography algorithms based on the new concept of "the moving observer". We
considered three levels of undetectability named: "good", "bad", and "ugly". To
illustrate this method we chose Wi-Fi steganography as a solid family of
information hiding protocols. We present the state of the art in this area
covering well-known hiding techniques for 802.11 networks. "The moving
observer" approach could help not only in the evaluation of steganographic
algorithms, but also might be a starting point for a new detection system of
network steganography. The concept of a new detection system, called MoveSteg,
is explained in detail.Comment: 6 pages, 6 figures, to appear in Proc. of: ICNIT 2015 - 6th
International Conference on Networking and Information Technology, Tokyo,
Japan, November 5-6, 201
Stealthy Plaintext
Correspondence through email has become a very significant way of communication at workplaces. Information of most kinds such as text, video and audio can be shared through email, the most common being text. With confidential data being easily sharable through this method most companies monitor the emails, thus invading the privacy of employees. To avoid secret information from being disclosed it can be encrypted. Encryption hides the data effectively but this makes the data look important and hence prone to attacks to decrypt the information. It also makes it obvious that there is secret information being transferred. The most effective way would be to make the information seem harmless by concealing the information in the email but not encrypting it. We would like the information to pass through the analyzer without being detected. This project aims to achieve this by âencryptingâ plain text by replacing suspicious keywords with non-suspicious English words, trying to keep the grammatical syntax of the sentences intact
Optimal Radiometric Calibration for Camera-Display Communication
We present a novel method for communicating between a camera and display by
embedding and recovering hidden and dynamic information within a displayed
image. A handheld camera pointed at the display can receive not only the
display image, but also the underlying message. These active scenes are
fundamentally different from traditional passive scenes like QR codes because
image formation is based on display emittance, not surface reflectance.
Detecting and decoding the message requires careful photometric modeling for
computational message recovery. Unlike standard watermarking and steganography
methods that lie outside the domain of computer vision, our message recovery
algorithm uses illumination to optically communicate hidden messages in real
world scenes. The key innovation of our approach is an algorithm that performs
simultaneous radiometric calibration and message recovery in one convex
optimization problem. By modeling the photometry of the system using a
camera-display transfer function (CDTF), we derive a physics-based kernel
function for support vector machine classification. We demonstrate that our
method of optimal online radiometric calibration (OORC) leads to an efficient
and robust algorithm for computational messaging between nine commercial
cameras and displays.Comment: 10 pages, Submitted to CVPR 201
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