Academic Articles & Research Papers

Structural analysis of inclusive metaverse spaces for the sustainability of future smart cities (Case study: Tehran Metropolis)

The Metaverse, as a hypothetical virtual environment utilizing advanced technologies such as Artificial Intelligence and the Internet of Things, has the potential to contribute to the sustainability of future smart cities, enhancing urban e...

Text Mining in Cybersecurity

The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...

The NIST Cybersecurity Framework (CSF) 2.0

The NIST Cybersecurity Framework (CSF) 2.0 provides guidance to industry, government agencies, and other organizations to manage cybersecurity risks. It offers a taxonomy of high-level cybersecurity outcomes that can be used by any organiza...

The Role of Machine Learning in Cybersecurity

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...

Cybersecurity for Industry 4.0 in the current literature: A reference framework

A study on the morbidity patterns and healthcare utilization of tea garden workers of Siliguri, West Bengal, India.

From data neglect to data respect: A framework for institutionalising a sustainable research data management culture in Kenyan universities.

Summer seasonal precipitation prediction in the middle and lower reaches of the Yangtze River using neural network approaches.

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

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...

Experiential Learning: Innovative Approaches to Post-Secondary Cybersecurity Education

The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...

DELP-Net: A Differentiable Entropy Layer Pyramid Network for End-to-End Low-Rate DoS Detection

Low-rate Denial-of-Service (LDoS) attacks exploit periodic traffic pulses to trigger congestion while maintaining a low average rate, making them highly stealthy and difficult to distinguish from legitimate bursty traffic using threshold-ba...

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

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...

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

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...

Regulatory Cybersecurity in the European Union and the Republic of Moldova

The rapid development of information technology leads to various opportunities for both individuals and businesses to conduct including financial transactions through the Internet. In such circumstances, cyber security issues become very re...

Adversarial XAI Methods in Cybersecurity

Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...

A Review on Cybersecurity

In recent years the cybersecurity has evolved significantly in order to cater to the changes that occur within the cyberspace. Cybersecurity is the means by which a country or organization can utilize to protect its products and information...

Cybersecurity

Cite as Michael Veale and Ian Brown (2020) 'Cybersecurity' 9(4) Internet Policy Review Cybersecurity covers the broad range of technical and social issues that must be considered to protect networked information systems. The importance of t...

Cybersecurity and Sustainable Development

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...

COVID ‐19 pandemic cybersecurity issues

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 ...

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the emerging Internet of Things (IoT) has gained a lot of attention from the government, academia, and industries in recent years. Federated cybersecurity (F...