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Hidden Data

A Robust Method to Detect Hidden Data from Digital Images

A Robust Method to Detect Hidden Data from Digital Images

... are hidden inside other mes- sages, images, or ...be hidden on things of everyday use such as watermarks on letters, carvings on bottom sides of tables, and other ...that data can be hidden in ...

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Extracting Spread-Spectrum Hidden Data from Digital Media

Extracting Spread-Spectrum Hidden Data from Digital Media

... of data tracking and tampering ...robust data hiding schemes to protect from these ...the hidden data embedded to the host signal, via multicarrier SS ...The hidden data is ...

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An Approach to Extract Hidden Data Using IWT

An Approach to Extract Hidden Data Using IWT

... As data hiding is a process of hiding data[4] behind the cover ...the data hiding process has two sets of data, one set of the embedded data and another set of the cover media ...of ...

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A Method to Extract the Spread Spectrum Hidden Data from Digital Media

A Method to Extract the Spread Spectrum Hidden Data from Digital Media

... The present study is exploratory in nature which identifies twenty critical failure factors for the failure of ERP implementation at Indian SMEs along with the KCFFs (Key Critical Failure Factors) by the mean ranking of ...

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Authentication Watermarking for Transmission of Hidden Data using Biometrics Technique

Authentication Watermarking for Transmission of Hidden Data using Biometrics Technique

... for data embedding process using steganography ...the data extraction process carried out on the receiver ...be hidden relatively depends on the size of the ...

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Genre-based information hiding

Genre-based information hiding

... While data encryption is an effective means of keeping data private it does not conceal the presence of ‘hidden’ information, rather it serves as an indicator that such data is ...is ...

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Understanding How Crucial Hidden Value Discovery In Data Warehouse Is?

Understanding How Crucial Hidden Value Discovery In Data Warehouse Is?

... Educational Data Mining (EDM): It is one of the emerging and fast growing innovative field of research which contribute immensely to the collection of huge amount of student data from web logs to provide a ...

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Ensuring data confidentiality via plausibly deniable encryption and secure deletion – a survey

Ensuring data confidentiality via plausibly deniable encryption and secure deletion – a survey

... containing hidden data from free blocks being filled with random ...by hidden files, collision of disk loca- tions may increase, leading to significant ...the data from a security level which ...

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SEPARABLE REVERSIBLE SCHEME FOR DATA HIDING IN IMAGE

SEPARABLE REVERSIBLE SCHEME FOR DATA HIDING IN IMAGE

... "reversible data hiding" means getting the exact recovery of the data after performing the operation like encryption-decryption and data hiding in cover ...reversible data hiding ...

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Secret Information Transmission within Color          Image using Wavelet Transformation

Secret Information Transmission within Color Image using Wavelet Transformation

... of data like text, image, audio,video in digital ...more data to be transmitted over the Internet, the more security attack will be appeared from eavesdropping, data exposure and data ...

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STEGNOGRAPHIC PROPERTIES BASED DATA HIDDEN IN MEDIA ELEMENTS USING CRYPTOGRAPHY

STEGNOGRAPHIC PROPERTIES BASED DATA HIDDEN IN MEDIA ELEMENTS USING CRYPTOGRAPHY

... covert data is embedded into the wavelet coefficients of host audio ...of data robustness, payload and ...audio data embedding techniques notice ability of embedding is decreased and noise tolerance ...

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Comparison of Clustering Methods over a Hidden Web Data using Stratification

Comparison of Clustering Methods over a Hidden Web Data using Stratification

... Stratification is the process of partitioning the entire deep web data source into homogenous groups with minimized variance within each group. These homogenous groups are also called as strata or stratum. ...

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Using inductive logic programming to discover knowledge hidden in chemical data

Using inductive logic programming to discover knowledge hidden in chemical data

... CHIRBASE 17] 18] 19] is a conventional database which makes data on enan- tioseparations accessible but it is expensive. Furthermore it does not tell an analyst how to use such data, that is guide an ...

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Application of Genetic Algorithm for the Discovery of Hidden Temporal Patterns in Earthquakes Data

Application of Genetic Algorithm for the Discovery of Hidden Temporal Patterns in Earthquakes Data

... Series Data Mining (TSDM) is an integration of several methods such as cluster analysis, time series analysis and machine language (Genetic Algorithm, and non-linear ...extract hidden information from ...

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Discovering the hidden knowledge in transaction
data through formal concept analysis

Discovering the hidden knowledge in transaction data through formal concept analysis

... of data and complexity would prevent a human from operating at an expert level across the whole organisation as humans do not posses the communication capability to operate as a collective body, certainly not at ...

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Title: PLAUSIBLY DENIABLE ENCRYPTION OF DATA STORAGE AS HIDDEN FOLDER IN CLOUD

Title: PLAUSIBLY DENIABLE ENCRYPTION OF DATA STORAGE AS HIDDEN FOLDER IN CLOUD

... confidential data from the unauthorized person has to increase in ...the hidden folder method has been introduced and stored the file in the cloud environment with some secure key and ...the data in ...

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Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data

Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data

... activity data for healthy individuals usually exhibit a strong 24-h periodicity (see electronic supplementary material, figure S1) as can be expected due the entrained endogenous cir- cadian rhythmicity endorsed ...

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Abstract: Data mining discovers hidden pattern in data sets and association between the patterns. In this association rule

Abstract: Data mining discovers hidden pattern in data sets and association between the patterns. In this association rule

... The main motive of Apriori[6] Algorithm is to find associations between different sets of data. It is sometimes referred to as "Market Basket Analysis". Each set of transactions has a number of items. The ...

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Optimizing the Multilayer Feed Forward Artificial Neural Networks Architecture and Training Parameters using Genetic Algorithm

Optimizing the Multilayer Feed Forward Artificial Neural Networks Architecture and Training Parameters using Genetic Algorithm

... A feed-forward neural network model for fault detection NN of a deep-trough hydroponic system and a predictive modeling NN system of a similar hydroponic system has also been developed. In those two models, a genetic ...

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Classification of data using multilayered perceptron neural network

Classification of data using multilayered perceptron neural network

... In the project, to determine the optimal network structure, number of hidden nodes and the overall performance of the tested data will been analyzed and recorded in the table.. Data will[r] ...

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