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A Comprehensive Cybersecurity Audit Model to Improve Cybersecurity Assurance: The CyberSecurity Audit Model (CSAM)

Régner Sabillón, Jordi Serra-Ruiz, Víctor Cavaller, Jeimy J. Cano M. • International Conference on Information Systems and Computer Science (INCISCOS) (2017)

Nowadays, private corporations and public institutions are dealing with constant and sophisticated cyberthreats and cyberattacks. As a general warning, organizations must build and develop a cybersecurity culture and awareness in order to d...

OPENALEX Open Access DOI: https://doi.org/10.1109/inciscos.2017.20

Addressing Industry 4.0 Cybersecurity Challenges

Giovanna Culot, Fabio Fattori, Matteo Podrecca, Marco Sartor • IEEE Engineering Management Review (2019)

Awareness is building on how managers should be involved in Industry 4.0 cybersecurity. This awareness and concern derives from heavy dependence of integrated information systems and technology for Industry 4.0. Manufacturing companies rely...

OPENALEX DOI: https://doi.org/10.1109/emr.2019.2927559

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

The Role of Machine Learning in Cybersecurity

Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice (2022)

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...

OPENALEX Open Access DOI: https://doi.org/10.1145/3545574

Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review

Fábio Eid Morooka, Adalberto Manoel Junior, Tiago F. A. C. Sigahi, Jefferson de Souza Pinto et al. • Machine Learning and Knowledge Extraction (2023)

Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...

DOAJ Open Access (DOAJ) DOI: 10.3390/make5030041

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting (2025)

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...

DOAJ Open Access (DOAJ) DOI: 10.3390/forecast7020031

European Ai-Policy Space

R. S. Vykhodets • Евразийская интеграция: экономика, право, политика (2021)

Artificial Intelligence (AI) is one of the central technologies of the fourth industrial revolution. A significant part of the production of surplus value in the XXI century is associated with the mastery and widespread introduction of tech...

DOAJ Open Access (DOAJ) DOI: 10.22394/2073-2929-2021-03-108-117

Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning

Jiabao Zhang, Jianhua Wang, Yuhong Li, Zhuangzhuang Zhang et al. • Cybersecurity (2026)

Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42400-026-00625-z

Cybersecurity and Sustainable Development

Adam Sulich, Małgorzata Rutkowska, Agnieszka Krawczyk-Jezierska, Jarosław Jezierski et al. • Procedia Computer Science (2021)

Growing interdependencies between organizations lead them towards the creation of inter-organizational networks where cybersecurity and sustainable development have become one of the most important issues. The Environmental Goods and Servic...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procs.2021.08.003

COVID ‐19 pandemic cybersecurity issues

Bernardi Pranggono, Abdullahi Arabo • Internet Technology Letters (2020)

This paper studies the cybersecurity issues that have occurred during the coronavirus (COVID‐19) pandemic. During the pandemic, cyber criminals and Advanced Persistent Threat (APT) groups have taken advantage of targeting vulnerable people ...

OPENALEX cc-by DOI: https://doi.org/10.1002/itl2.247

China and Cybersecurity

• Oxford University Press eBooks (2015)

China's emergence as a great power in the twenty-first century is strongly enabled by cyberspace. Leveraged information technology integrates Chinese firms into the global economy, modernizes infrastructure, and increases internet penetrati...

OPENALEX DOI: https://doi.org/10.1093/acprof:oso/9780190201265.001.0001

Cybersecurity, Data Privacy and Blockchain: A Review

Vinden Wylde, Nisha Rawindaran, John Lawrence, Rushil Balasubramanian et al. • SN Computer Science (2022)

In this paper, we identify and review key challenges to bridge the knowledge-gap between SME's, companies, organisations, businesses, government institutions and the general public in adopting, promoting and utilising Blockchain technology....

OPENALEX cc-by DOI: https://doi.org/10.1007/s42979-022-01020-4 PMC: 8753328

A Survey on Explainable Artificial Intelligence for Cybersecurity

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni et al. • IEEE Transactions on Network and Service Management (2023)

The “black-box” nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create mac...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnsm.2023.3282740

Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long et al. • Science and Technology of Nuclear Installations (2017)

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plan...

DOAJ Open Access (DOAJ) DOI: 10.1155/2017/3721578

Automated monitoring innovations for efficient and safe construction practices

Muhammad Ali Musarat, Abdul Mateen Khan, Wesam Salah Alaloul, Noah Blas et al. • Results in Engineering (2024)

As construction projects increase in complexity, there are growing challenges with conventional monitoring methods in terms of efficiency, safety, and competitiveness. Traditional supervision techniques are labour-intensive, intermittent, a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2024.102057

Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning

Pijush Kanti Dutta Pramanik, Bijoy Kumar Upadhyaya, Ajay Kushwaha, Debashish Bhowmik • Energy and AI (2026)

Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyai.2026.100925

Nieuwe perspectieven in onrustige tijden

Edo Roos Lindgreen • MAB (2025)

Het is niet nodig om in dit voorwoord te vermelden dat de wereld sterk in beweging is. Als MAB-lezer heeft u genoeg informatiebronnen tot uw beschikking, en uiteraard uw eigen observaties, die de enorme veranderlijkheid en soms schokkende a...

DOAJ Open Access (DOAJ) DOI: 10.5117/mab.99.168389

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

Olusola Bamisile, Dongsheng Cai, Humphrey Adun, Chukwuebuka Ejiyi et al. • Energy Reports (2023)

The need to reduce global carbon emissions has led to a significant increase in clean energy globally. While renewable energy penetration into energy grids and power systems is increasing in many countries, the intermittency and stochastic ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyr.2023.05.229