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An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction (2025)

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

DOAJ Open Access (DOAJ) DOI: 10.54216/JCHCI.100201

Metamorphic Testing for Cybersecurity

Tsong Yueh Chen, Fei‐Ching Kuo, Wenjuan Ma, Willy Susilo et al. • Computer (2016)

Testing is a major approach for the detection of software defects, including vulnerabilities in security features. This article introduces metamorphic testing (MT), a relatively new testing method, and discusses how the new perspective of M...

OPENALEX Open Access DOI: https://doi.org/10.1109/mc.2016.176 PMC: 4993050

Integrating Adversarial Scenarios into LLM Security Labs: An Experience Report on a Hands-On Approach

Dominic A Wilson • Journal of Cybersecurity Education, Research & Practice (2026)

This paper presents an exploratory case study detailed as a pedagogical experience report on integrating adversarial Large Language Model (LLM) scenarios into a graduate cybersecurity curriculum. In addition to prompt injection, sophisticat...

DOAJ Open Access (DOAJ) DOI: 10.62915/2472-2707.1268

Cybersecurity Risks in a Pandemic

Christina Meilee Williams, Rahul Chaturvedi, Krishnan V Chakravarthy • Journal of Medical Internet Research (2020)

Cybersecurity threats are estimated to cost the world US $6 trillion a year by 2021, and the number of attacks has increased five-fold after COVID-19. Although there is substantial literature on the threats technological vulnerabilities hav...

OPENALEX cc-by DOI: https://doi.org/10.2196/23692 PMC: 7528623

A Review of Cybersecurity in Grid-Connected Power Electronics Converters: Vulnerabilities, Countermeasures, and Testbeds

Ruiyun Fu, Mary E. Lichtenwalner, Thomas J. Johnson • IEEE Access (2023)

With the increasing installations of solar energy, electric vehicles, and other distributed energy resources and the deeper developments of digitalization and standardization, cybersecurity became more and more essential and critical in mod...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324177

Practical Vulnerability-Information-Sharing Architecture for Automotive Security-Risk Analysis

Yousik Lee, Samuel Woo, Yunkeun Song, Jungho Lee et al. • IEEE Access (2020)

Emerging trends that are shaping the future of the automotive industry include electrification, autonomous driving, sharing, and connectivity, and these trends keep changing annually. Thus, the automotive industry is shifting from mechanica...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3004661

Cybersecurity in Distributed Power Systems

Zhiyi Li, Mohammad Shahidehpour, Farrokh Aminifar • Proceedings of the IEEE (2017)

This paper presents the application of cybersecurity to the operation and control of distributed electric power systems. In particular, the paper emphasizes the role of cybersecurity in the operation of microgrids and analyzes the dependenc...

OPENALEX DOI: https://doi.org/10.1109/jproc.2017.2687865

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum

J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate • Future Internet (2024)

This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a mult...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi16110412

A study on process information-driven cyber threat detection for I&C systems in NPP

Jae Hwan Kim, Kwang Seop Son, Jae Gu Song, Yong Gu Lee et al. • Nuclear Engineering and Technology (2026)

The increasing digitalization of Instrumentation and Control (I&C) systems in Nuclear Power Plants (NPPs) has improved operational efficiency while introducing cybersecurity vulnerabilities. Conventional network-based intrusion detection sy...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.net.2025.103879

Monitoring the spread of a pathogenic insect on vineyards using UAS

V. Longhi, A. Martino, A. M. Lingua, P. F. Maschio et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2024)

Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused signifi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLVIII-1-2024-443-2024

VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Zhen Li, Deqing Zou, Shouhuai Xu, Xinyu Ou et al. • Network and Distributed System Security Symposium (2018)

The automatic detection of software vulnerabilities is an important research problem.However, existing solutions to this problem rely on human experts to define features and often miss many vulnerabilities (i.e., incurring high false negati...

OPENALEX Open Access DOI: https://doi.org/10.14722/ndss.2018.23158

Immunogenic cell death-related macrophage gene model for prognostic prediction in glioblastoma

Yiming Mao, Ting Li, Wenqiang Lu, Chunhong Li et al. • Discover Oncology (2025)

Abstract Glioblastoma (GBM) is an extremely aggressive and diverse type of brain tumor that is associated with a poor prognosis. Immunogenic cell death (ICD) is a particular form of cellular demise that is closely linked to antineoplastic i...

DOAJ Open Access (DOAJ) DOI: 10.1007/s12672-025-03557-1

Adversarial machine learning

Ling Huang, Anthony D. Joseph, Blaine A. Nelson, Benjamin I. P. Rubinstein et al. • ACM Workshop on Artificial Intelligence and Security (AISec) (2011)

In this paper (expanded from an invited talk at AISEC 2010), we discuss an emerging field of study: adversarial machine learning---the study of effective machine learning techniques against an adversarial opponent. In this paper, we: give a...

OPENALEX DOI: https://doi.org/10.1145/2046684.2046692

AI-Driven Identification of Critical Dependencies in US-China Technology Supply Chains: Implications for Economic Security Policy

Guoli Rao, Chengru Ju, Zhen Feng • Journal of Advanced Computing Systems (2024)

This research examines the critical dependencies within US-China technology supply chains through advanced artificial intelligence methodologies, addressing significant economic security implications in an era of strategic competition. The ...

DOAJ Open Access (DOAJ) DOI: 10.69987/JACS.2024.41204

Developing Artificial Intelligence-Powered Monetary Policy Communication Indicators for Macroeconomic Inquiries in Ghana

Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling • Communicare (2024)

Central bank communication is a valuable source of information designed to shape the expectations of economic agents within and outside an economy. In particular, the content of Monetary Policy Committees’ press releases and statements refl...

DOAJ Open Access (DOAJ) DOI: 10.36615/jcsa.v43i1.2779