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Data Hiding Technique based on Fractal Orthonormal Basis

Jan 02, 2013

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Data Hiding Technique based on Fractal Orthonormal Basis

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Basis Data

730 views • 50 slides

Orthonormal Basis Functions

Orthonormal Basis Functions. A set of signals are called orthogonal on an interval ( a , b ) if any two signals and in the set satisfy If the magnitude of each signal is set to one, it is called normalized.

3.17k views • 68 slides

Adjustable prediction-based reversible data hiding

Adjustable prediction-based reversible data hiding. Outline. Introduction Related work Tseng and Hsiehs ’ scheme The proposed scheme Embedding phase Extraction and recovery phase Experimental results Conclusions. Introduction.

575 views • 41 slides

Reversible data hiding based on block truncation coding scheme

Reversible data hiding based on block truncation coding scheme. Outline. Introduction Related works Block truncation coding (BTC) Reversible data hiding Proposed method Embedding process Extraction process Experimental results Conclusions. Introduction.

708 views • 24 slides

Improved PVO-based reversible data hiding

Improved PVO-based reversible data hiding. Source: Digital Signal Processing, 2014 Authors: Fei Peng, Xiaolong Li,ng Reporter : Min-Hao Wu. Outline. Related Work Proposed Scheme Experimental Results Conclusions. Related work.

399 views • 20 slides

A lossless data hiding scheme based on three-pixel block differences

A lossless data hiding scheme based on three-pixel block differences. Ching-Chiuan Lin and Nien-Lin Hsueh Pattern Recognition, Vol. 41(4), April 2008 Pages 1415-1425 . Outline. Introduction Related Work The Proposed Method Experiments Conclusions Comments. Lossless data hiding.

609 views • 41 slides

Adjustable prediction-based reversible data hiding

Adjustable prediction-based reversible data hiding. Authors: Chin-Feng Lee and Hsing-Ling Chen Source: Digital Signal Processing, Vol. 22, No. 6, pp. 941–953, 2012. Outline. Introduction Proposed method Experimental results Conclusions. Tseng and Hsieh’s scheme. Introduction.

502 views • 24 slides

Reversible data hiding scheme based on neighboring pixel differences

Reversible data hiding scheme based on neighboring pixel differences. Adviser ： Pro.Yu -Chiang Li Speaker ： Yi- Lun Chen DATE ： 2013/11/20 Author ： Y.Y. Tsai, D.S. Tsai, and C.L. Liu Data Source ： Digital Signal Processing, Vol.23, No.3, pp. 919-927, 2013. Outline. Introduction. 1.

269 views • 3 slides

Reversible Data Hiding Based on Two-Dimensional Prediction Errors

Reversible Data Hiding Based on Two-Dimensional Prediction Errors. Source : IET Image Processing , Vol. 7, No. 9, pp. 805-816 , 2013 Authors : Shyh-Yih Wang, Chun-Yi Li and Wen -Chung Kuo Speaker : Min- Hao Wu Date : 2014/03/17. Outline. Related work – Yang et al. ’s scheme

320 views • 19 slides

Multilevel reversible data hiding based on histogram modification of difference images

Multilevel reversible data hiding based on histogram modification of difference images. Authors: Chia-Chen Lin, Wei-Liang Tai, and Chin-Chen Chang Source: Pattern Recognition, vol. 41, no. 12, pp. 3582-3591, 2008 Presenter: Chia-Chun Wu ( 吳佳駿 ) Date: 2009/09/04. Outline.

537 views • 20 slides

Reversible Data Hiding

Reversible Data Hiding. ECE643 Digital Image Processing (I) Course Project Professor: Yun Q. Shi Su Yu 1 2/02/2011. Contents. Introduction Applications Methods Histogram Pair Optimum Histogram Pair Conclusion Simulation. Contents. Introduction Applications Methods Histogram Pair

1.12k views • 68 slides

Data Hiding

Data Hiding. Public and Private Review. Let’s pretend that we are going to create an Alarm Clock class. Public and Private Review. What would the Alarm Clock class’ data fields be?. Data Fields: Current Second (between 0 and 59) Current Minute (between 0 and 59)

446 views • 16 slides

Adjustable prediction-based reversible data hiding

Adjustable prediction-based reversible data hiding. Author: Chin-Feng Lee Hsing-Ling Chen. Speaker: Mick Huang. 2013/08/05. Introduction. What’s Data hiding?. Secret Message. 2013/08/05. Propose Method. Y. y=N. y=2. y=1. x=1. Data embedding area &amp; Embedding order. x=2. x=M.

272 views • 8 slides

Data Mining based on Hashing Technique

Data Mining is an important aspect for any business. Most of the management level decisions are based on the process of Data Mining. One of such aspect is the association between different sale products i.e. what is the actual support of a product respected to the other product. This concept is called Association Mining. According to this concept we define the process of estimating the sale of one product respective to the other product. We are proposing an association rule based on the concept of Hardware support. In this concept we first maintain the database and compare it with systolic array after this a pruning process is being performed to filter the database and to remove the rarely used items. Finally the data is indexed according to hashing technique and the decision is performed in terms of support count. Krishan Rohilla | Shabnam Kumari | Reema"Data Mining based on Hashing Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd82.pdf http://www.ijtsrd.com/computer-science/data-miining/82/data-mining-based-on-hashing-technique/krishan-rohilla

74 views • 5 slides

Practical data hiding technique in Covert timing channels

Out of order arrival of packets is an inevitable phenomenon on the Internet. Application performance can degrade to a great extent due to out of order arrival of packets Packet reordering is a common phenomenon on the Internet. Moreover, it is handled transparently from the user and application level processes. In this paper, we propose a novel covert channel technique using the packet reordering phenomenon as a host for carrying secret communications. This makes it an attractive medium to exploit for sending hidden signals to receivers by dynamically manipulating packet order in a network flow. In our approach, specific permutations of successive packets are selected to enhance the reliability of the channel, while the frequency distribution of their usage is tuned to increase stealthiness by imitating real Internet traffic. It is very expensive for the adversary to discover the covert channel due to the tremendous overhead to buffer and sort the packets among huge amount of background traffic. A simple tool is implemented to demonstrate this new channel. We studied extensively the robustness and capabilities of our proposed channel using both simulation and experimentation over large varieties of traffic characteristics. The reliability and capacity of this technique have shown promising results. We also investigated a practical mechanism for distorting and potentially preventing similar novel channels. M. Gokul Narayanan | PS. Lokesh | N. Kanimozhi "Practical data hiding technique in Covert timing channels" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: https://www.ijtsrd.com/papers/ijtsrd10777.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/10777/practical-data-hiding-technique-in-covert-timing-channels/m-gokul-narayanan

59 views • 4 slides

Reversible Data Hiding

Reversible Data Hiding. Zhicheng Ni, Yun-Qing Shi, Nirwan Ansari, and Wei Su IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 16, NO. 3, MARCH 2006. Reporter : Chien-Ting Kuo. Outline. 1. Introduction 2. Proposed Algorithm 3. Experimental Results 4. Conclusions.

458 views • 27 slides

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