{"title":"A Framework for Integrated Bank ATM Transactions Security Based on Multi-Modal Biometric Authentication Using Adaptive and Attentive Assisted Mobilenet-V3","authors":"M. Ravi Prasad, N. Thillaiarasu","doi":"10.1111/coin.70083","DOIUrl":"https://doi.org/10.1111/coin.70083","url":null,"abstract":"<div>\u0000 \u0000 <p>In recent times, the Automated Teller Machine (ATM) scam has increased widely in this society. The technology has emerged to steal money or hack the service during the ATM transaction. Many thieves are using the strategy of skimming and trapping to steal money from ATM devices. In order to secure the transaction in ATMs, several authentication frameworks with recognition have been implemented. This safety work could be dealt with through biometric identification such as face, retina, and fingerprint recognition of the user. Due to high demand for security and reliable authentication schemes, the multimodal biometric system has emerged. The multimodal biometric system needs more than one biometric trait of an individual for identification and security purposes. Therefore, an integrated bank ATM transactions security model using a deep learning-based multi-modal biometric authentication system is developed to provide higher security during ATM transactions. Initially, the ATM card with Personal Identification Number (PIN) is given as the input for making ATM transactions in integrated banks. If the PIN is verified, then the appropriate person is identified through the biometric information of the user. The biometric information of the users includes Fingerprint, Face recognition, Retina, and speech. The speech information is in the format of signal, and hence the de-noising is performed to eliminate the noises from the input signal. The de-noised signal is given to Short Time Fourier Transform (STFT) to perform a signal transformation. After applying STFT, the spectrogram of images is attained. Finally, both the fingerprint, face, Retina, and spectrogram images are combined and given as the input for the recognition stage. Here, the Adaptive and Attentive-based Mobilenet-v3 (AAMNet) network is used for the recognition of input images, where the parameters from the Mobilenet-v3 are optimized using the Enhanced Archerfish Hunting Optimizer (EAHO) to improve the recognition performance. After recognizing the biometric information of the users, the money transactions in ATMs are completed. Therefore, the security of the integrated banking ATM transaction is highly improved, and the illegal transaction is avoided. The experimental result of the developed security model in ATM transactions is validated with the traditional models to ensure the effectiveness of the developed system. Hence, the effective results of the proposed model attain nearly 93% for accuracy, sensitivity, specificity, and also nearly 6% for FPR and FNR, respectively. This result could be used for practical applications like banking and the financial sector, money transactions, funding management, and so forth.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70089","DOIUrl":"https://doi.org/10.1111/coin.70089","url":null,"abstract":"<div>\u0000 \u0000 <p>\u0000 <b>RETRACTION</b>: <span>D. Guo</span>, <span>C. Wang</span>, “ <span>Sequence Recommendation Based on Deep Learning</span>,” <i>Computational Intelligence</i> <span>36</span> no. <span>4</span> (<span>2020</span>): <span>1704</span>–<span>1722</span>, \u0000https://doi.org/10.1111/coin.12307.</p>\u0000 <p>The above article, published online on 11 March 2020 in Wiley Online Library (\u0000wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70091","DOIUrl":"https://doi.org/10.1111/coin.70091","url":null,"abstract":"<div>\u0000 \u0000 <p>\u0000 <b>RETRACTION</b>: <span>A. Shanmugam</span>, <span>J. Paramasivam</span>, “ <span>A Two-Level Authentication Scheme for Clone ode Detection in Smart Cities Using Internet of Things</span>,” <i>Computational Intelligence</i> <span>36</span> no. <span>3</span> (<span>2000</span>): <span>1200</span>–<span>1220</span>, \u0000https://doi.org/10.1111/coin.12330.</p>\u0000 <p>The above article, published online on 17 May 2020 in Wiley Online Library (\u0000wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70091","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70085","DOIUrl":"https://doi.org/10.1111/coin.70085","url":null,"abstract":"<p><b>RETRACTION</b>: <span>N. Zhang</span>, <span>Y. Han</span>, <span>R. G. Crespo</span>, and <span>O. S. Martinez</span>, “ <span>Physical Education Teaching for Saving Energy in Basketball Sports Athletics Using Hidden Markov and Motion Model</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>3</span> (<span>2021</span>): <span>1125</span>–<span>1140</span>, https://doi.org/10.1111/coin.12343.</p><p>The above article, published online on 08 June 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70085","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70090","DOIUrl":"https://doi.org/10.1111/coin.70090","url":null,"abstract":"<div>\u0000 <p>\u0000 <b>RETRACTION</b>: <span>J. Li</span>, <span>H. Tao</span>, <span>L. Shuhong</span>, <span>S. Q. Salih</span>, <span>J. M. Zain</span>, <span>L. Yankun</span>, <span>G. N. Vivekananda</span>, and <span>M. Thanjaivadel</span>, “ <span>Internet of Things Assisted Condition-Based Support for Smart Manufacturing Industry Using Learning Technique</span>,” <i>Computational Intelligence</i> <span>36</span> no. <span>4</span> (<span>2020</span>): <span>1737</span>–<span>1754</span>, https://doi.org/10.1111/coin.12319.</p>\u0000 <p>The above article, published online on 28 July 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70092","DOIUrl":"https://doi.org/10.1111/coin.70092","url":null,"abstract":"<div>\u0000 \u0000 <p>\u0000 <b>RETRACTION</b>: <span>K.G. Krishnasamy</span>, <span>A. Selvaraj</span>, “ <span>Enhanced Constrained Application Protocol for Secured Medical Data Transmission Model for Internet of Things</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>3</span> (<span>2021</span>): <span>1014</span>–<span>1033</span>, \u0000https://doi.org/10.1111/coin.12321.</p>\u0000 <p>The above article, published online on 26 April 2020 in Wiley Online Library (\u0000wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70088","DOIUrl":"https://doi.org/10.1111/coin.70088","url":null,"abstract":"<p><b>RETRACTION</b>: <span>M. Kulandaivel</span>, <span>A. Natarajan</span>, <span>B. P. Chandrasekara</span>, and <span>A. Selvaraj</span>, “ <span>Static Localization for Underwater Acoustics Sensor Networks Using Nelder–Mead Algorithm for Smart Cities</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>4</span> (<span>2021</span>): <span>1691</span>–<span>1705</span>, https://doi.org/10.1111/coin.12431.</p><p>The above article, published online on 02 March 2021 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70086","DOIUrl":"https://doi.org/10.1111/coin.70086","url":null,"abstract":"<p><b>RETRACTION</b>: <span>N. Duraivel</span>, <span>B. Paulchamy</span>, “ <span>Simulation and Performance Analysis of 15 Nm FinFET Based Carry Skip Adder</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>2</span> (<span>2021</span>): <span>799</span>–<span>818</span>, https://doi.org/10.1111/coin.12417.</p><p>The above article, published online on 08 December 2020 in Wiley Online Library (\u0000wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction. The authors do not agree with the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction","authors":"","doi":"10.1111/coin.70087","DOIUrl":"https://doi.org/10.1111/coin.70087","url":null,"abstract":"<p>\u0000 <b>RETRACTION</b>: <span>G. V. Sagar</span>, <span>D. Vijayakumar</span>, “ <span>Simulation Based Study on Parameter Variation of Si<sub>0.9</sub>Ge<sub>0.1</sub> Junction-less SELBOX FinFET for High-Performance Application</span>,” <i>Computational Intelligence</i> <span>38</span> no. <span>3</span> (<span>2022</span>): <span>801</span>–<span>810</span>, \u0000https://doi.org/10.1111/coin.12416.</p><p>The above article, published online on 20 October 2020 in Wiley Online Library (\u0000wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors do not agree with the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent Parking Space Classification Under Hazy and Non-Hazy Conditions: An Efficient Deep Learning Solution","authors":"Navpreet, Rajendra Kumar Roul, Rinkle Rani","doi":"10.1111/coin.70074","DOIUrl":"https://doi.org/10.1111/coin.70074","url":null,"abstract":"<div>\u0000 \u0000 <p>A fundamental issue in managing parking effectively is optimizing the utilization of existing parking spaces. While advanced artificial techniques have demonstrated remarkable accuracy in classifying parking spots, optimizing their utilization remains a key concern. However, performance degrades during slight interference, obstructions, and diverse lighting conditions such as fog or haze. Most researchers have used deep learning approaches to classify parking spaces for non-hazy weather conditions only, often prioritizing model performance over training efficiency. Building on this, the main aim of the proposed work is to develop a model for classifying parking spaces under any weather conditions (hazy and non-hazy). A synthesized parking dataset is designed for hazy weather conditions. Light-dehazenet (LD-Net) is applied to counteract the effects of haze in the synthesized dataset. AlexNet is trained on the synthesized and PKLot datasets by applying transfer learning and preparing hazy and non-hazy feature vectors, respectively. A random forest is applied to select top-ranked features to avoid overfitting, remove noise from the features, and increase generalization capability. The selected features contribute to the input vector for classification using Multilayer-ELM (MLELM). The major breakthrough involves replacing the fully connected layer of AlexNet with MLELM to avoid lengthy backpropagation and reduce the training time. The experimental results of AlexNet-MLELM are compared with lightweight pre-trained CNN and existing state-of-the-art models. Empirical results suggest that the proposed model provides a viable approach for parking space classification in diverse weather conditions.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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