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Encyclopedia of Measurement and Statistics

Neil J. Salkind • Sage eBooks (2007)

The 'Encyclopedia of Measurement and Statistics' presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics. Expert contributors provide an overview and an explanation of the major topics in t...

OPENALEX DOI: https://doi.org/10.4135/9781412952644

Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

Lucas Santos, Carlos Brito, Iure Fe, Juliana Carvalho et al. • IEEE Access (2024)

The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3393998

Hybrid spatio-temporal transformer and variational autoencoder framework for advanced sports injury prediction and analysis

Fanjie Meng • Kuwait Journal of Science (2026)

Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.1016/j.kjs.2026.100589

A Bloom filter-based dynamic symmetric searchable encryption scheme over cloud data

Xing Zhang, Haozhe Wang, Junqing Lu, Tianning Li et al. • Cybersecurity (2026)

Abstract In this paper, a searchable encryption scheme for cloud data is proposed to address the limitations of existing schemes, which suffer from inefficient index construction and search process, as well as a lack of support for dynamic ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42400-025-00448-4

The smartHEALTH European Digital Innovation Hub experiences and challenges for accelerating the transformation of public and private organizations within the innovation ecosystem

Dimitrios G. Katehakis, Dimitrios Filippidis, Konstantinos Karamanis, Angelina Kouroubali et al. • Frontiers in Medicine (2024)

Digital innovation can significantly enhance public health services, environmental sustainability, and social welfare. To this end, the European Digital Innovation Hub (EDIH) initiative was funded by the European Commission and national gov...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2024.1503235

Privacy Risks of Cybersquatting Attacks

Jack Kolenbrander, Elliott Rheault, Alan J. Michaels • Journal of Cybersecurity and Privacy (2026)

Cybersquatting is a collection of methods commonly used by malicious actors to mislead or trick internet users into accessing fraudulent or malicious content. Much of the current research has concentrated on the specific techniques used by ...

DOAJ Open Access (DOAJ) DOI: 10.3390/jcp6010038

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

Maad Mijwil, Israa Ezzat Salem, Marwa M. Ismaeel • Iraqi Journal for Computer Science and Mathematics (2023)

People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data o...

DOAJ Open Access (DOAJ) DOI: 10.52866/ijcsm.2023.01.01.008

Zero Trust VPN (ZT-VPN): A Systematic Literature Review and Cybersecurity Framework for Hybrid and Remote Work

Syed Muhammad Zohaib, Syed Muhammad Sajjad, Zafar Iqbal, Muhammad Yousaf et al. • Information (2024)

Modern organizations have migrated from localized physical offices to work-from-home environments. This surge in remote work culture has exponentially increased the demand for and usage of Virtual Private Networks (VPNs), which permit remot...

DOAJ Open Access (DOAJ) DOI: 10.3390/info15110734

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

Rafał Kozik, Marek Pawlicki, Michał Choraś, Witold Pedrycz • Complexity (2019)

Network and information security are regarded as some of the most pressing problems of contemporary economy, affecting both individual citizens and entire societies, making them a highlight for homeland security. Innovative approaches to ha...

DOAJ Open Access (DOAJ) DOI: 10.1155/2019/5826737

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

Cybersecurity

Cláudia Canongia, Raphael Mandarino • IGI Global eBooks (2013)

This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...

OPENALEX DOI: https://doi.org/10.4018/978-1-4666-4707-7.ch003

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

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

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

A Review of the Insider Threat, a Practitioner Perspective Within the U.K. Financial Services

Findlay Whitelaw, Jackie Riley, Nebrase Elmrabit • IEEE Access (2024)

The insider threat within organisational cybersecurity continues to be of great concern globally. The current insider threat detection strategies are acknowledged as ineffective, evidenced by the increased reported events in high-profile in...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3373265