Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Artificial Intelligence Applications in Industry
share announcement

Artificial Intelligence Applications in Industry

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 664

Special Issue Editors

Prof. Dr. Emilio Soria-Olivas

E-Mail Website
Guest Editor
IDAL, Electronic Engineering Department, University of Valencia, Av. Universitat, SN, Burjassot, 46100 Valencia, Spain
Interests: deep learning applications
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marcelino Martínez Sober

E-Mail Website1 Website2
Guest Editor
IDAL, Electronic Engineering Department, University of Valencia, Av. Universitat, SN, Burjassot, 46100 Valencia, Spain
Interests: artificial intelligence applications
Special Issues, Collections and Topics in MDPI journals
Dr. Antonio José Serrano López

E-Mail Website
Guest Editor
IDAL, Electronic Engineering Department, University of Valencia, Av. Universitat, SN, Burjassot, 46100 Valencia, Spain
Interests: medical AI applications
Special Issues, Collections and Topics in MDPI journals
Dr. Juan Gómez-Sanchís

E-Mail Website
Guest Editor
IDAL, Electronic Engineering Department, University of Valencia, Av. Universitat, SN, Burjassot, 46100 Valencia, Spain
Interests: AI applications in agriculture
Special Issues, Collections and Topics in MDPI journals
Dr. Joan Vila-Francés

E-Mail Website
Guest Editor
IDAL, Electronic Engineering Department, University of Valencia, Av. Universitat, SN, Burjassot, 46100 Valencia, Spain
Interests: NLP applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

AI technology has undergone significant development, attracting the attention of researchers in the industrial engineering community over the last decades. As such, this Special Issue of Applied Sciences focuses on the application of artificial intelligence (AI) in various sectors, including industry and society. Articles explore how AI is transforming industrial operations, enhancing efficiency and enabling advanced automation. This Special Issue offers a comprehensive view of the challenges and opportunities presented by AI in these crucial areas.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Industrial and electrical automation;
  • Metal and food industry;
  • Data mining;
  • Artificial neural networks;
  • Industrial engineering;
  • Artificial intelligence.

Prof. Dr. Emilio Soria-Olivas
Prof. Dr. Marcelino Martínez Sober
Dr. Antonio José Serrano López
Dr. Juan Gómez-Sanchís
Dr. Joan Vila-Francés
Guest Editors

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. Applied Sciences 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.

Keywords

  • deep learning
  • reinforcement learning
  • visual data mining
  • advanced data analysis

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 2241 KiB  
Article
Enhancing Security in Industrial Application Development: Case Study on Self-Generating Artificial Intelligence Tools
by Tomás de J. Mateo Sanguino
Appl. Sci. 2024, 14(9), 3780; https://doi.org/10.3390/app14093780 - 28 Apr 2024
Viewed by 388
Abstract
The emergence of security vulnerabilities and risks in software development assisted by self-generated tools, particularly with regard to the generation of code that lacks due consideration of security measures, could have significant consequences for industry and its organizations. This manuscript aims to demonstrate [...] Read more.
The emergence of security vulnerabilities and risks in software development assisted by self-generated tools, particularly with regard to the generation of code that lacks due consideration of security measures, could have significant consequences for industry and its organizations. This manuscript aims to demonstrate how such self-generative vulnerabilities manifest in software programming, through a case study. To this end, this work undertakes a methodology that illustrates a practical example of vulnerability existing in the code generated using an AI model such as ChatGPT, showcasing the creation of a web application database, SQL queries, and PHP server-side. At the same time, the experimentation details a step-by-step SQL injection attack process, highlighting the hacker’s actions to exploit the vulnerability in the website’s database structure, through iterative testing and executing SQL commands to gain access to sensitive data. Recommendations on effective prevention strategies include training programs, error analysis, responsible attitude, integration of tools and audits in software development, and collaboration with third parties. As a result, this manuscript discusses compliance with regulatory frameworks such as GDPR and HIPAA, along with the adoption of standards such as ISO/IEC 27002 or ISA/IEC 62443, for industrial applications. Such measures lead to the conclusion that incorporating secure coding standards and guideline—from organizations such as OWASP and CERT training programs—further strengthens defenses against vulnerabilities introduced by AI-generated code and novice programming errors, ultimately improving overall security and regulatory compliance. Full article
(This article belongs to the Special Issue Artificial Intelligence Applications in Industry)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop