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The 22nd International Conference on Information Technology-New Generations (ITNG 2025)

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Shahram Latifi

    1. Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, USA

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Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1463)

Included in the following conference series:

Conference proceedings info: ITNG 2025.

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About this book

This book covers technical contributions that have been submitted, reviewed and presented at the 22nd  annual event of International conference on Information Technology: New Generations (ITNG) The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security and health care are among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics.

Keywords

Table of contents (65 papers)

  1. Front Matter

    Pages i-xvi
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  2. Cybersecurity

    1. Front Matter

      Pages 1-1
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    2. Adaptive GAN-Based Defense Against Data Poisoning in Federated Learning

      • Poshak Pathak, Prasanthi Sreekumari
      Pages 3-12

    3. Password Security in Practice: An Appraisal Using Users’ Perception and Machine Learning

      • Zackary Beck, Adam Crooks, Md. Fazle Rabbi, Minhaz Zibran, Farjana Eishita
      Pages 13-24

    4. Security and Privacy for LLMs and LMMs Across Key Sectors: A Literature Survey

      • Costain Nachuma, Mostafa M. Fouda, Minhaz F. Zibran
      Pages 25-39

    5. Detection of Malicious URL’s Using Machine Learning

      • Deepthi Malyavantham Harinath, Anuhya Javvaji, Annamaria Szakonyi
      Pages 40-45

    6. Zero-Day Malware Detection Using Fine-Tuned MobileNetV2 and Open-Set Classification

      • Abdullah Sheneamer
      Pages 46-58

    7. Security or Privacy? A Cross-Cultural Exploration of Consumer Priorities in E-Commerce

      • Jing Hua, Ping Wang
      Pages 59-70

    8. An Unprofiled Single Trace Side-Channel Attack for Asymmetric Cryptosystems

      • Isabella Piacentini, Alessandro Barenghi, Gerardo Pelosi, Ruggero Susella
      Pages 71-83

    9. Capstone Project Design for an Undergraduate Cybersecurity Program

      • Nooredin Etezady, Ping Wang
      Pages 84-94

    10. Detecting Advanced Persistent Threats Using Machine Learning and Behavioral Analysis

      • Nawaf Abdualaziz Almolhis, Mohammed Abdulaziz Alsubhi
      Pages 95-106

    11. The Role of Data in Artificial Intelligence: Informing, Training, and Enhancing AI Systems

      • Kenneth L. Williams
      Pages 107-116

    12. Fortifying the Future: Innovative Approaches to Cybersecurity Education and Training in the Digital Age

      • Dina Moloja
      Pages 117-128

    13. Efficient Constructions from Double POLYVAL

      • Shay Gueron
      Pages 129-141

    14. Cybersecurity Ethics: Case Studies

      • Peyton Lutchkus, Ping Wang, Steven Zalenski
      Pages 142-152

    15. Energy Consumption Analysis of Collaborative Protocols for Security Threats and Mobile Malware Detection

      • M. Adeel
      Pages 153-163

  3. Data Science

    1. Front Matter

      Pages 165-165
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    2. Analyzing “Existential Dread” on the Internet in Response to Elmo

      • Quinn Contaldi, Joshua Dahl, Batyr Charyyev, Frederick C. Harris Jr.
      Pages 167-177

    3. Using Virtual Reality in a Case Study with Interdisciplinary Academic Projects for Reading Fluency Analysis and Assessment

      • Victor Araujo Paula Cavichioli, Stephanie Souza Russo, Wilson Cristoni Neto, Ana Clara Oliveira Leal, Emanuele Cristina da Silva Diniz Campos, Michael Felipe Santos Silva et al.
      Pages 178-190

    4. Case Study Involving Interdisciplinary Academic Projects for Reading Fluency Assessment and Analysis

      • Victor Araujo Paula Cavichioli, Stephanie Souza Russo, Huascar Mirko Montecinos Cortez, Ana Carolina de Lima Angelo, Gildarcio Sousa Goncalves, Adilson Marques da Cunha et al.
      Pages 191-203
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Other volumes

  1. The 22nd International Conference on Information Technology-New Generations (ITNG 2025)

Editors and Affiliations

  • Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, USA

    Shahram Latifi

About the editor

Shahram Latifi, an IEEE Fellow (2002), received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at the University of Nevada, Las Vegas. Dr. Latifi is the co-director of the Center for Information Technology and Algorithms (CITA) at UNLV. He has designed and taught  undergraduate and graduate courses in the broad spectrum of Computer Science and Engineering in the past four decades. He has given keynotes and  seminars on machine learning/AI and IT-related topics all over the world. He has authored over 250 technical articles in the areas of networking, cybersecurity, image processing, biosurveillance, biometrics, document analysis, fault tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, DoD, Boeing, Lockheed and Cray Inc. Dr. Latifi was an Associate Editor of the IEEE Transactions on Computers (1999-2006), an IEEE Distinguished Speaker (1997-2000), and Co-founder and General Chair of the IEEE Int'l Conf. on Information Technology (2004-2015). Dr. Latifi is the recipient of several research awards, the most recent being the Barrick Distinguished  Research Award (2021). Dr. Latifi was recognized to be among the top 2% researchers around the world in December 2020, according to Stanford top 2% list (publication data in Scopus, Mendeley).  He is a Registered Professional Engineer in the State of Nevada.

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