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Electronics
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State-of-the-Art Electronics in the USA
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State-of-the-Art Electronics in the USA

A special issue of Electronics (ISSN 2079-9292).

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 1340

Special Issue Editor

Dr. Mazdak Zamani

E-Mail Website
Guest Editor
Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
Interests: cybersecurity; data science; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to present this Special Issue on “State-of-the-Art Electronics in the USA”. For this Special Issue, we are inviting researchers and experts in computer science and engineering from both academia and industry to discuss and share ideas, present results, reflect on past experiences, and discuss future projects. The scope of this Special Issue is to publish recent and original research, practice, and educational developments in computer science and engineering from US industries and universities.

This Special Issue will provide a comprehensive overview on state-of-the-art electronic technologies in the USA. We welcome research articles and reviews that will contribute towards providing a consolidated, up-to-date perspective in energy-related areas. Potential topics include but are not limited to the following:

  • Computational science
  • Computational intelligence
  • Cyber warfare, cyber defense, and cyber security
  • Signal and image processing, computer vision and pattern recognition
  • Smart cities and smart mobility
  • Health informatics and medical systems
  • Mobile computing, wireless networks, and security
  • Software engineering
  • Internet of Things and Internet of Everything
  • Big data and data science
  • Artificial intelligence
  • Social network analysis, social media, and mining
  • Cloud computing and data centers
  • Computational biology
  • Parallel and distributed computing

Dr. Mazdak Zamani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

18 pages, 2639 KiB  
Article
Secure CAPTCHA by Genetic Algorithm (GA) and Multi-Layer Perceptron (MLP)
by Saman Shojae Chaeikar, Fatemeh Mirzaei Asl, Saeid Yazdanpanah, Mazdak Zamani, Azizah Abdul Manaf and Touraj Khodadadi
Electronics 2023, 12(19), 4084; https://doi.org/10.3390/electronics12194084 - 29 Sep 2023
Cited by 1 | Viewed by 825
Abstract
To achieve an acceptable level of security on the web, the Completely Automatic Public Turing test to tell Computer and Human Apart (CAPTCHA) was introduced as a tool to prevent bots from doing destructive actions such as downloading or signing up. Smartphones have [...] Read more.
To achieve an acceptable level of security on the web, the Completely Automatic Public Turing test to tell Computer and Human Apart (CAPTCHA) was introduced as a tool to prevent bots from doing destructive actions such as downloading or signing up. Smartphones have small screens, and, therefore, using the common CAPTCHA methods (e.g., text CAPTCHAs) in these devices raises usability issues. To introduce a reliable, secure, and usable CAPTCHA that is suitable for smartphones, this paper introduces a hand gesture recognition CAPTCHA based on applying genetic algorithm (GA) principles on Multi-Layer Perceptron (MLP). The proposed method improves the performance of MLP-based hand gesture recognition. It has been trained and evaluated on 2201 videos of the IPN Hand dataset, and MSE and RMSE benchmarks report index values of 0.0018 and 0.0424, respectively. A comparison with the related works shows a minimum of 1.79% fewer errors, and experiments produced a sensitivity of 93.42% and accuracy of 92.27–10.25% and 6.65% improvement compared to the MLP implementation. The range of the supported hand gestures can be a limit for the application of this research as a limited range may result in a vulnerable CAPTCHA. Also, the processes of training and testing require significant computational resources. In the future, we will optimize the method to run with high reliability in various illumination conditions and skin color and tone. The next development plan is to use augmented reality and create unpredictable random patterns to enhance the security of the method. Full article
(This article belongs to the Special Issue State-of-the-Art Electronics in the USA)
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