A method based on continuous spectrum analysis and artificial immune network optimization algorithm for fingerprint image ridge distance estimation

2005 ◽  
Author(s):  
Xiaosi Zhan ◽  
Yilong Yin ◽  
Zhaocai Sun ◽  
Yun Chen
Keyword(s):  
Continuous Spectrum ◽  
Optimization Algorithm ◽  
Spectrum Analysis ◽  
Network Optimization ◽  
Distance Estimation ◽  
Immune Network ◽  
Artificial Immune ◽  
Fingerprint Image ◽  
Artificial Immune Network

scholarly journals GM-NAINO: Global Mutation based Novel Artificial Immune Network Optimization for Enhancing Data Security in Public Cloud Storage System

2021 ◽  
Author(s):  
Priyadharshini Kaliyamoorthy ◽  
Aroul Canessane Ramalingam
Keyword(s):  
Network Optimization ◽  
Cloud Storage ◽  
Storage System ◽  
Data Integrity ◽  
Cloud Services ◽  
Immune Network ◽  
Public Cloud ◽  
Artificial Immune ◽  
Artificial Immune Network ◽  
Secure Data

Abstract In recent years, numerous research works have been established to obtain secure data in the cloud storage system. But the data privacy regarding information outsourcing on cloud services is considered a crucial problem. In order to provide secure data, it is necessary to encrypt the information before storing it in the public cloud storage system. To provide security and data integrity during encryption and decryption, this paper proposes a global mutation-based novel artificial immune network optimization algorithm for RSA cryptosystem. Here, the Global Mutation Based Novel Artificial Immune Network Optimization (GM-NAINO) Algorithm is employed to attain optimal generation of keys thereby enhancing safe and secure data transmission and improving the data integrity during the transmission of data. Thus, the proposed GM-NAINO based RSA framework provides an effective system in improving data integrity. In addition to this, to determine the effectiveness of the proposed GM-NAINO algorithm seven benchmark functions are utilized in this paper. The performance evaluation and the comparative analysis are carried out and the proposed GM-NAINO based RSA framework outperforms other approaches.

Path Generation of Mechanism Based on Multimodal Optimization Using an Evolutionary Approach

2004 ◽  
Author(s):  
Renbin Xiao ◽  
Yong Liu ◽  
Gang Dou
Keyword(s):  
Optimization Algorithm ◽  
Optimization Method ◽  
Synthesis Methods ◽  
Immune Network ◽  
Path Generation ◽  
Multimodal Optimization ◽  
Artificial Immune ◽  
Planar Mechanisms ◽  
Artificial Immune Network ◽  
Performance Of Algorithm

This paper presents an optimization method for path generation of planar mechanisms by using artificial immune network based multimodal optimization algorithm. Firstly, the multimodal character of optimal synthesis methods for mechanism path generation is analyzed. Secondly, based on brief introduction of the artificial immune network theory and the AINET based multimodal optimization algorithm Opt-aiNet, the Opt-aiNet algorithm is improved in stopping criterion and parameter selection, which is ground on detailed analysis of the influence of parameters on the performance of algorithm. Then the improved Opt-aiNet algorithm is introduced to solve multimodal model of mechanism path generation. Finally, based upon the case study, the advantages of the improved Opt-aiNet algorithm in solving mechanism path generation problm are discussed and some concluding remarks are drawn.

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