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Cybersecurity in the Age of AI and IoT: Challenges and Innovations

A special issue of Journal of Cybersecurity and Privacy (ISSN 2624-800X). This special issue belongs to the section "Security Engineering & Applications".

Deadline for manuscript submissions: 10 August 2025 | Viewed by 887

Special Issue Editors


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Guest Editor
Faculty of Artificial Intelligence, Al-Balqa Applied University, Al-Salt 19117, Jordan
Interests: cybersecurity; malware analysis; data and network security artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of IT, Melbourne Institute of Technology, Melbourne, VIC 3000, Australia
Interests: information security; database; machine learning; smart 5G networks; green 5G communication; sleep mode; Markov decision process; energy efficient 5G networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In today's rapidly evolving technological landscape, the integration of Artificial Intelligence (AI), the Internet of Things (IoT), and cybersecurity has become increasingly critical. These technologies are transforming various sectors, including healthcare, financial markets, government, industrial automation, smart cities, and local organizations, enabling seamless data collection, analysis, and decision-making. However, this interconnectedness also introduces sophisticated cybersecurity threats that pose significant risks to data integrity, privacy, and system reliability.

This Special Issue will gather pioneering research, innovative solutions, and practical insights from experts in the fields of AI, IoT security, and cybersecurity. We invite authors to submit their original research papers, review articles, case studies, and experimental studies that address, but do not only cover, the following topics:

  • Cybersecurity in AI-driven applications;
  • Threat modeling and risk assessment in IoT systems;
  • Secure communication protocols for AI and IoT systems;
  • Intrusion detection and response mechanisms in IoT networks;
  • Machine learning and AI approaches for enhancing cybersecurity;
  • Privacy and data protection in AI and IoT applications;
  • Secure key management and authentication schemes for IoT;
  • Blockchain technology for securing IoT and AI applications;
  • Cybersecurity challenges in financial markets;
  • Security strategies for government and local organizations;
  • Emerging trends and future directions in AI, IoT, and cybersecurity.

Dr. Moutaz Alazab
Dr. Ammar Alazab
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. Journal of Cybersecurity and Privacy is an international peer-reviewed open access quarterly 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 1000 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

  • artificial intelligence (AI)
  • internet of things (IoT)
  • cybersecurity
  • AI-driven applications
  • threat modeling
  • risk assessment
  • intrusion detection
  • machine learning
  • privacy protection
  • data protection
  • financial markets security
  • government security strategies
  • emerging trends
  • secure AI applications
  • secure iot systems

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Published Papers (1 paper)

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Research

30 pages, 5036 KiB  
Article
Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images
by Abeer Al-Hyari, Mua’ad Abu-Faraj, Charlie Obimbo and Moutaz Alazab
J. Cybersecur. Priv. 2025, 5(1), 8; https://doi.org/10.3390/jcp5010008 - 18 Feb 2025
Viewed by 327
Abstract
This paper presents an integrated chaos-based algorithm for image encryption that combines the chaotic Hénon map and chaotic logistic map (CLM) to enhance the security of digital image communication. The proposed method leverages chaos theory to generate cryptographic keys, utilizing a 1D key [...] Read more.
This paper presents an integrated chaos-based algorithm for image encryption that combines the chaotic Hénon map and chaotic logistic map (CLM) to enhance the security of digital image communication. The proposed method leverages chaos theory to generate cryptographic keys, utilizing a 1D key from the logistic map generator and a 2D key from the chaotic Hénon map generator. These chaotic maps produce highly unpredictable and complex keys essential for robust encryption. Extensive experiments demonstrate the algorithm’s resilience against various attacks, including chosen-plaintext, noise, clipping, occlusion, and known-plaintext attacks. Performance evaluation in terms of encryption time, throughput, and image quality metrics validates the effectiveness of the proposed integrated approach. The results indicate that the chaotic Hénon–logistic map integration provides a powerful and secure method for safeguarding digital images during transmission and storage with a key space that reaches up to 2200. Moreover, the algorithm has potential applications in secure image sharing, cloud storage, and digital forensics, inspiring new possibilities. Full article
(This article belongs to the Special Issue Cybersecurity in the Age of AI and IoT: Challenges and Innovations)
Show Figures

Figure 1

Figure 1
<p>Graphical abstract of the proposed method.</p>
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<p>The proposed encryption method.</p>
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<p>The proposed decryption method.</p>
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<p>Key generation and structure.</p>
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<p>Key-space analysis.</p>
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<p>Histogram analysis.</p>
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<p>The correlation coefficient analysis across the three color channels.</p>
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<p>The impact of a slight change in the private key on the decrypted image.</p>
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<p>All-black image encryption using the proposed method.</p>
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<p>All-white image encryption using the proposed method.</p>
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<p>Robustness analysis of salt-and-pepper noise.</p>
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<p>Robustness analysis of Gaussian noise.</p>
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<p>Low occlusion values.</p>
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<p>High occlusion values.</p>
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<p>Different dynamic range values.</p>
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