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2015 10th International Conference on Availability, Reliability and Security最新文献

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Steg Blocks: Ensuring Perfect Undetectability of Network Steganography 隐写块:确保网络隐写的完美不可检测性
Wojciech Fraczek, K. Szczypiorski
The paper presents StegBlocks, which defines a new concept for performing undetectable hidden communication. StegBlocks is a general approach for constructing methods of network steganography. In StegBlocks, one has to determine objects with defined properties which will be used to transfer hidden messages. The objects are dependent on a specific network protocol (or application) used as a carrier for a given network steganography method. Moreover, the paper presents the approach to perfect undetectability of network steganography, which was developed based on the rules of undetectability for general steganography. The approach to undetectability of network steganography was used to show the possibility of developing perfectly undetectable network steganography methods using the StegBlocks concept.
本文提出了StegBlocks,它定义了一个执行不可检测的隐藏通信的新概念。隐写块是构建网络隐写方法的一种通用方法。在StegBlocks中,必须确定具有已定义属性的对象,这些属性将用于传输隐藏消息。对象依赖于作为给定网络隐写方法的载体的特定网络协议(或应用程序)。此外,本文还提出了一种完善网络隐写不可检测性的方法,该方法是在一般隐写不可检测性规则的基础上发展起来的。网络隐写的不可检测性方法被用来展示使用隐写块概念开发完全不可检测的网络隐写方法的可能性。
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引用次数: 4
Using Facebook for Image Steganography 使用Facebook进行图像隐写
Jason Hiney, Tejas Dakve, K. Szczypiorski, K. Gaj
Because Facebook is available on hundreds of millions of desktop and mobile computing platforms around the world and because it is available on many different kinds of platforms (from desktops and laptops running Windows, Unix, or OS X to hand held devices running iOS, Android, or Windows Phone), it would seem to be the perfect place to conduct steganography. On Facebook, information hidden in image files will be further obscured within the millions of pictures and other images posted and transmitted daily. Facebook is known to alter and compress uploaded images so they use minimum space and bandwidth when displayed on Facebook pages. The compression process generally disrupts attempts to use Facebook for image steganography. This paper explores a method to minimize the disruption so JPEG images can be used as steganography carriers on Facebook.
因为Facebook可以在世界各地数以亿计的桌面和移动计算平台上使用,因为它可以在许多不同类型的平台上使用(从运行Windows、Unix或OS X的台式机和笔记本电脑到运行iOS、Android或Windows Phone的手持设备),它似乎是进行隐写术的完美场所。在Facebook上,隐藏在图像文件中的信息将在每天发布和传输的数百万张图片和其他图像中进一步模糊。众所周知,Facebook会修改和压缩上传的图片,以便在Facebook页面上显示时使用最小的空间和带宽。压缩过程通常会破坏使用Facebook进行图像隐写的企图。本文探讨了一种最小化干扰的方法,使JPEG图像可以用作Facebook上的隐写载体。
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引用次数: 25
Image Watermarking with Biometric Data for Copyright Protection 用于版权保护的生物特征数据图像水印
Pub Date : 2015-03-16 DOI: 10.1109/ARES.2015.100
Morgan Barbier, J. L. Bars, C. Rosenberger
In this paper, we deal with the proof of ownership or legitimate usage of a digital content, such as an image, in order to tackle the illegitimate copy. The proposed scheme based on the combination of the watermarking and cancelable biometrics does not require a trusted third party, all the exchanges are between the provider and the customer. The use of cancelable biometrics allows us to provide a privacy compliant proof of identity. We illustrate the robustness of this method against intentional and unintentional attacks of the watermarked content.
在本文中,我们处理所有权的证明或合法使用的数字内容,如图像,以解决非法复制。提出的基于水印和可取消生物特征相结合的方案不需要可信的第三方,所有的交换都在提供者和客户之间进行。使用可取消的生物识别技术使我们能够提供符合隐私的身份证明。我们说明了该方法对水印内容的有意和无意攻击的鲁棒性。
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引用次数: 4
期刊
2015 10th International Conference on Availability, Reliability and Security
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