Electronic User Authentication Key for Access to HMI/SCADA via Unsecured Internet Networks

Author:

Abu-Jassar Amer Tahseen1,Attar Hani2ORCID,Yevsieiev Vladyslav3ORCID,Amer Ayman2,Demska Nataliia3,Luhach Ashish Kr.4ORCID,Lyashenko Vyacheslav5ORCID

Affiliation:

1. Faculty of Computer Science and Information Technology, Ajloun National University, Ajloun, Jordan

2. Faculty of Engineering, Department of Energy Engineering, Zarqa University, Zarqa, Jordan

3. Department of Computer-Integrated Technologies, Automation and Mechatronics, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

4. The PNG University of Technology, Lae, Papua New Guinea

5. Department of Media Systems and Technology, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

Abstract

This paper discusses the development of new hardware and software for protecting access to HMI/SCADA systems via Unprotected Internet Networks (UPN), mainly when working remotely with confidential information. Based on the analysis carried out, it is shown that the existing vulnerabilities can be exploited by cybercriminals to steal passwords and user authentication logins. Modern protection technologies based on the OTP method have been investigated. Moreover, a new concept of information security for user authentication in UPNs when working with information remotely is proposed. The structure of the electronic key and the connection diagram based on the selected hardware modules have been developed. In addition, the two-level user identification algorithms and the firmware program code for the ATmega32U4 microcontroller are considered. Finally, to show the reliability and stability of the of the developed electronic user authentication key against any unexpected software hacking, a number of experiments have been performed.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference55 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning-Based Approach for Detecting DDoS Attack in SDN;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27

2. Monitoring System Development for Equipment Upgrade for IIoT;2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES);2023-09-27

3. Optimal Allocation of STATCOM to Enhance Transient Stability Using Imperialist Competitive Algorithm;Intelligent Automation & Soft Computing;2023

4. Improving Organizations Security Using Visual Cryptography Based on XOR and Chaotic-Based Key;2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2022-11-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3