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A New Hybrid Feature Selection Method Using T-test and Fitness Function

Computers, Materials & Continua 2021年第9期68卷 3997-4016页

作者： Husam Ali abdulmohsin hala bahjat abdul wahab abdul Mohssen Jaber abdul Hossen Department of Computer Science Faculty of ScienceUniversity of BaghdadBaghdadIraq Faculty of Computer Science Technology UniversityBaghdadIraq Department of Computer Science Al-Turath University CollegeBaghdadIraq

Feature selection(FS)(or feature dimensional reduction,or feature optimization)is an essential process in pattern recognition and machine learning because of its enhanced classification speed and accuracy and reduced system *** reduces the number of features extracted in the feature extraction phase by reducing highly correlated features,retaining features with high information gain,and removing features with no weights in *** this work,an FS filter-type statistical method is designed and implemented,utilizing a t-test to decrease the convergence between feature subsets by calculating the quality of performance value(QoPV).The approach utilizes the well-designed fitness function to calculate the strength of recognition value(SoRV).The two values are used to rank all features according to the final weight(FW)calculated for each feature subset using a function that prioritizes feature subsets with high SoRV *** FW is assigned to each feature subset,and those with FWs less than a predefined threshold are removed from the feature subset *** are implemented on three datasets:Ryerson Audio-Visual Database of Emotional Speech and Song,Berlin,and Surrey Audio-Visual Expressed *** performance of the F-test and F-score FS methods are compared to those of the proposed *** are also conducted on a system before and after deploying the FS *** demonstrate the comparative efficiency of the proposed *** complexity of the system is calculated based on the time overhead required before and after *** show that the proposed method can reduce system complexity.

关键词： Feature selection dimensional reduction feature optimization pattern recognition classification t-test

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A Block Cipher Algorithm Based on Magic Square for Secure E-bank Systems

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Computers, Materials & Continua 2022年第10期73卷 1329-1346页

作者： Farah Tawfiq abdul Hussien abdul Monem S.Rahma hala bahjat abdul wahab Computer Science Department University of TechnologyBaghdad10011Iraq

Nowadays the E-bank systems witnessed huge growth due to the huge developments in the internet and *** transmitted information represents crucial information that is exposed to various kinds of *** paper presents a new block cipher technique to provide security to the transmitted information between the customers and the ebank *** proposed algorithm consists of 10 rounds,each round involves 5 *** operations involve Add round key,Sub bytes,Zigzag method,convert to vector,and Magic Square of order *** purpose of this algorithm is to make use of the complexity of the Magic Square algorithm,the speed of addition operation,the confusion provided by the zigzag,using these operations with Galois field 28 GF(28),and repeating these operations for several rounds to build fast high secure encryption *** algorithm is designed to provide fast with high complexity and security which is suitable to encrypt the data that is transmitted over the ***,complexity,and The National Institute of Standards and Technology Framework NIST suite tests were *** complexity of the proposed algorithm is=((256)32)r+1∗((256)89)r+1+(256)*** proposed technique gives higher speed and security in the encryption and decryption phases,according to the results of the *** degree of randomness has grown by 31.8 *** to a decrease in the time of encrypting and decrypting,as well as the usage of the central processing unit(CPU),efficiency is *** encryption process throughput is enhanced by 13%,while the decryption process throughput is increased by 11.6 percent with the recommended approach.

关键词： Block cipher magic square order 11 complexity NIST suite zigzag GF(28) MS11

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Enhancing IoT Data Security with Lightweight Blockchain and Okamoto Uchiyama Homomorphic Encryption

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1731-1748页

作者： Mohanad A.Mohammed hala B.abdul wahab Computer Science Department The University of TechnologyBaghdadIraq

Blockchain technology has garnered significant attention from global organizations and researchers due to its potential as a solution for centralized system ***,the Internet of Things(IoT)has revolutionized the Fourth Industrial Revolution by enabling interconnected devices to offer innovative services,ultimately enhancing human *** paper presents a new approach utilizing lightweight blockchain technology,effectively reducing the computational burden typically associated with conventional blockchain *** integrating this lightweight blockchain with IoT systems,substantial reductions in implementation time and computational complexity can be ***,the paper proposes the utilization of the Okamoto Uchiyama encryption algorithm,renowned for its homomorphic characteristics,to reinforce the privacy and security of IoT-generated *** integration of homomorphic encryption and blockchain technology establishes a secure and decentralized platformfor storing and analyzing sensitive data of the supply chain *** platformfacilitates the development of some business models and empowers decentralized applications to perform computations on encrypted data while maintaining data *** results validate the robust security of the proposed system,comparable to standard blockchain implementations,leveraging the distinctive homomorphic attributes of the Okamoto Uchiyama algorithm and the lightweight blockchain paradigm.

关键词： Blockchain IoT integration of IoT and blockchain consensus algorithm Okamoto Uchiyama homomorphic encryption lightweight blockchain

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