Search Results - (( data application rsa algorithm ) OR ( code classification using algorithm ))
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Privacy in medical emergency system: cryptographic and security aspects
Published 2010“…The symmetric encryption AES with encryption key of an asymmetric algorithm (RSA). The symmetric key will be generated by application tier and be encrypted by RSA algorithm. …”
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Proceeding Paper -
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Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
Published 2014“…Generally RSA algorithm gain a security support because of it’s frequently use in most applications where security of digital data is mostly a concern. …”
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An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…This paper proposes an efficient approach to improve Rivest Shamir Adleman (RSA) algorithm using parallel technique. RSA public-key cryptosystem has been the most popular and interesting security technique for majority of applications such as internet protocols, secure internet acces and electronic commerce. …”
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Implementation of Grid Computing for Cryptosystem (RSA)
Published 2005“…The RSA algorithm can be used for both public key encryption and digital signatures. …”
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Final Year Project -
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Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…In this method, features were extracted from Android applications byte-code through static code analysis, selected and were used to train supervised classifiers. …”
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Proceeding Paper -
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Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
Published 2015“…However, supervised learning technique has limitations for malware classification task. This paper presents a classification approach on android malware using candidate detectors generated from an unsupervised association rule of Apriori Algorithm. …”
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A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems
Published 2006“…This RSA co-processor core is able to encrypt and decrypt data with variable key lengths up to 4096 bits. …”
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Thesis -
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FPGA Implementation of RSA Public-Key Cryptographic Coprocessor
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User-Device Authentication Model With Digital Certificate For Smartphone User
Published 2024thesis::master thesis -
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Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen
Published 2023“…The main drawback of the 3kRSA algorithm is its computation time, while 3DES is faster than that 3kRSA. …”
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Comparison between RSA hardware and software implementation for WSNs sexcurity schemes
Published 2010“…The need of security to protect the data through networks has become of vital importance and critical for many sensor network applications. …”
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Proceeding Paper -
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Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection
Published 2024“…This study develops and analyze using neural network-based models for effective classification of data packets using the DSCP header field. …”
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Source code classification using latent semantic indexing with structural and frequency term weighting
Published 2012“…Furthermore,it is also learned that the use of structural information in the weighting scheme contribute to a better classification.…”
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Chain coding and pre processing stages of handwritten character image file
Published 2010“…This paper discusses in detail some of the algorithms used in the pre-processing stages of an offline handwritten character image file. …”
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RSA authentication mechanisms in control grid computing environment using Gridsim toolkit
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Conference or Workshop Item -
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Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification
Published 2012“…This is the basis of the proposed algorithm. The proposed algorithm involves a multistage approach that includes motion vector prediction and motion classification using the characteristics of video sequences. …”
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