Improving High Embedding Capacity Using Artificial Immune System: A Novel Approach for Data Hiding

2012 ◽  
pp. 209-219 ◽  
Author(s):  
Kirti Bala Bahekar ◽  
Praneet Saurabh ◽  
Bhupendra Verma
Keyword(s):  
Immune System ◽  
Data Hiding ◽  
Artificial Immune System ◽  
Embedding Capacity ◽  
Artificial Immune ◽  
System A ◽  
Novel Approach ◽  
High Embedding Capacity

A Static Web Immune System and its Robustness Analysis

2011 ◽  
pp. 2152-2174
Author(s):  
Tao Gong
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Robustness Analysis ◽  
The Self ◽  
Normal Model ◽  
Artificial Immune ◽  
Detection Mechanism ◽  
Adaptive Immune ◽  
System A ◽  
Space Property

Static Web immune system is an important applicatiion of artificial immune system, and it is also a good platform to develop new immune computing techniques. On the Static Web system, a normal model is proposed with the space property and the time property of each component, in order to identify the normal state of the system that the artificial immune system protects. Based on the normal model, the Static Web immune sytsem is modelled with three tiers, that is the innate immune tier, the adaptive immune tier and the parallel immune tier. All the three tiers are inspired from the natural immune system. On the tri-tier immune model, the self detection mechanism is proposed and programmed based on the normal model, and the non-self detection is based on the self detection. Besides, the recognition of known non-selfs and unknown non-selfs are designed and analyzed. It is showed that the Static Web immune system is effective and useful for both theory and applications.

A Static Web Immune System and Its Robustness Analysis

2010 ◽  
pp. 219-239
Author(s):  
Tao Gong
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Robustness Analysis ◽  
The Self ◽  
Normal Model ◽  
Artificial Immune ◽  
Detection Mechanism ◽  
Adaptive Immune ◽  
System A ◽  
Space Property

Static Web immune system is an important applicatiion of artificial immune system, and it is also a good platform to develop new immune computing techniques. On the Static Web system, a normal model is proposed with the space property and the time property of each component, in order to identify the normal state of the system that the artificial immune system protects. Based on the normal model, the Static Web immune sytsem is modelled with three tiers, that is the innate immune tier, the adaptive immune tier and the parallel immune tier. All the three tiers are inspired from the natural immune system. On the tri-tier immune model, the self detection mechanism is proposed and programmed based on the normal model, and the non-self detection is based on the self detection. Besides, the recognition of known non-selfs and unknown non-selfs are designed and analyzed. It is showed that the Static Web immune system is effective and useful for both theory and applications.

scholarly journals Reversible Data Hiding for DICOM Image Using Lifting and Companding

Cryptography ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 21 ◽  
Author(s):  
Amit Phadikar ◽  
Poulami Jana ◽  
Himadri Mandal
Keyword(s):  
Data Hiding ◽  
Reversible Watermarking ◽  
Discrete Wavelet ◽  
High Fidelity ◽  
Embedding Capacity ◽  
Dicom Image ◽  
Hiding Capacity ◽  
Novel Approach ◽  
High Embedding Capacity ◽  
Location Map

In this work, a reversible watermarking technique is proposed for DICOM (Digital Imaging and Communications in Medicine) image that offers high embedding capacity (payload), security and fidelity of the watermarked image. The goal is achieved by embedding watermark based on companding in lifting based discrete wavelet transform (DWT) domain. In the embedding process, the companding technique is used to increase the data hiding capacity. On the other hand, a simple linear function is used in companding to make the scheme easy to implement, and content dependant watermark is used to make the scheme robust to collusion operation. Moreover, unlike previously proposed reversible watermarking techniques, this novel approach does not embed the location map in the host image that ultimately helps to achieve high fidelity of the watermarked image. The advantage of the proposed scheme is demonstrated by simulation results and also compared with selected other related schemes.

scholarly journals RECONHECIMENTO DE FALHAS ESTRUTURAIS UTILIZANDO SISTEMA IMUNOLOGICO ARTIFICIAL WAVELET

2021 ◽  
Vol 12 (4) ◽  
pp. 82-88
Author(s):  
Fábio Roberto Chavarette ◽  
Roberto Outa ◽  
Igor Feliciani Merizio ◽  
Thiago Carreta Moro ◽  
Simone Silva Frutuoso de Souza ◽  
...  
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Structural Integrity ◽  
Electrical Energy ◽  
Steam Turbines ◽  
Artificial Immune ◽  
Novel Approach ◽  
Innovative Tool ◽  
Structural Failures

This work presents a novel approach for monitoring the structural integrity of a dynamic rotor basead in a intelligent methodology combined with a mathematical transform, the Wavelet artificial immune system. The combination of the artificial immune system with the Wavelet transform generates an innovative tool to perform the identification, localization and classification of structural failures. Through this methodology, industrial machine designs are developed to meet these needs, reducing failures and anticipating errors found in operating machines. An emergingarea of machine designs are rotating machines also called dynamic rotors, which are applied to aircraft turbines, steam turbines for the production of electrical energy, turbo-compressors, among others. To validate this methodology, experimental data are collected, and from this, different situations (normal condition and fault conditions) are generated, obtaining a database of signals, which were analyzed by the proposed method. The results obtained by the Wavelet Artificial Immune System are efficient and robust.

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