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A Novel Approach for Iris Recognition System Using Genetic Algorithm

Journal of Artificial Intelligence and Technology 2024年第1期4卷 9-17页

作者： Jayesh Mohanrao Sarwade Sandip Bankar Surekha Janrao Kishor Sakure rohini patil Shudhodhan Bokefode Nilesh Kulal School of Computing MIT-ADT University PuneIndia School of Technology Management and Engineering SVKM’sNMIMSNaviMumbaiIndia K.J.Somaiya Institute of Technology SionMumbaiIndia Terna Engineering College NaviMumbaiIndia

In a brand new era,with chaotic scenario that exists within the world,people are undermined with diverse psychological *** have been numerous sensible approaches on the way to understand and lessen those *** developments have verified to be one of the beneficial approaches for intercepting these *** recognition through human iris organ is said as one of the well-known biometric strategies because of its reliability and higher accurate return in comparison to different *** beyond literatures,terrible imaging condition,low flexibility of version,and small length iris image dataset are the constraints desiring *** these kinds of developments,the iris popularity structures are suitable gear for the human *** popularity has been an energetic studies location for the duration of previous couple of decades,due to its extensive packages in the areas,from airports to native land protection border *** the past,various functions and methods for iris recognition have been *** of the very fact that there are many approaches published in this field,there are still liberal amount of problems in this methodology like tedious and computational *** suggest an all-encompassing deep learning architecture for iris recognition supported by a genetic algorithm and a wavelet transformation,which may jointly learn the feature representation and perform recognition to realize high *** just a few training photos from each class,we train our model on a well-known iris recognition dataset and demonstrate improvements over prior *** think that this architecture can be frequently employed for various biometric recognition jobs,assisting in the development of a more scalable and precise *** exploratory aftereffects of the proposed technique uncover that the strategy is effective inside the iris acknowledgment.

关键词： biometrics genetics algorithm(GA) iris recognition machine learning wavelet transformation

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A Machine Learning Approach for Phishing Attack Detection

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Journal of Artificial Intelligence and Technology 2023年第3期3卷 108-113页

作者： Tarun Choudhary Siddhesh Mhapankar Rohit Bhddha Ashish Kharuk rohini patil Terna Engineering College NerulNavi MumbaiIndia

Phishing is the easiest method for gathering sensitive information from unwary *** seek to get private data including passwords,login information,and bank account *** security experts are actively seeking for trustworthy and effective ways to identify phishing *** order to distinguish between legal and phishing URLs,we used machine learning(ML)*** this research work,using ML technology extraction and analysis of both types of URLs was *** Gradient Boosting,Decision Tree,Logistic Regression,Random Forest(RF),and Support Vector Machine were used to identify phishing *** goal was to identify phishing URLs and determine the most effective ML technique by comparing the accuracy rates of each *** this,proposed methodology two datasets were *** accuracy of models was calculated on PhishTank and UCI dataset using K-fold,feature selection and hyperparameter tuning *** measures precision,recall,F1-score,and receiver operating characteristics(ROC)curve were *** provided an accuracy of 98.80% and 97.87% on the PhishTank dataset and UCI,*** precision,recall,and F1-score value were 99% each,and AUC-ROC value was 99.89% with PhishTank *** with other researchers showed better results with proposed ***,this methodology can be of help to identify phishing websites.

关键词： legitimate machine learning malicious phishing URL website

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