Academic Articles & Research Papers

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...

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...

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...

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

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 ...

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...

How Are Czech Individuals Willing to Protect Themselves: A Comparison of Cyber and Physical Realms

Endpoint users are usually viewed as the highest-risk element in the field of cybersecurity. At the same time, they need to be protected not just from the individual-level prism but also, from the states perspective, to counter threats like...

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...

China and Cybersecurity

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...

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

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...

Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications

Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...

Security evaluation framework for cloud ERP systems using NIST and ISO standards

Abstract Enterprise Resource Planning (ERP) systems serve as critical infrastructure for modern organizations, yet their security assessment lacks standardized evaluation frameworks. This study develops and applies a structured Security Mat...

A Cooperative Learning Approach for Decentralized Peer-to-Peer Energy Trading Markets and its Structural Robustness Against Cyberattacks

Peer-to-peer (P2P) energy trading has recently emerged as a promising paradigm for integrating renewable and distributed energy resources into local energy grids with the presence of active prosumers. However, prosumers often have different...

Cybersecurity Risk

Abstract Based on textual analysis and a comparison of cybersecurity risk disclosures of firms that were hacked to others that were not, we propose a novel firm-level measure of cybersecurity risk for all U.S.-listed firms. We then examine ...

Sex and Age Differences in Electrocardiographic Parameters Among Adults With Normal ECGs at a Single Diagnostic Centre in Owerri, Nigeria: A Retrospective Cross-Sectional Study.

Administration of Pro Re Nata Medication: A Retrospective Quantitative Study in Mental Health Acute Care Inpatient Units.

A prospective cohort study examining exposure to incarceration and cardiovascular disease (Justice-Involved Individuals Cardiovascular Disease Epidemiology – JUSTICE study): a protocol paper

Abstract Background People who have been incarcerated have high rates of cardiovascular risk factors, such as hypertension and smoking, and cardiovascular disease (CVD) is a leading cause of hospitalizations and mortality in this population...

Assessing the Microbial Quality of Shrimp (<i>Xiphonaeus kroyeri)</i> and Mussels (<i>Perna perna</i>) Illegally Sold in the Vitória Region, Brazil, and Investigating the Antimicrobial Resistance of <i>Escherichia coli</i> Isolates

The consumption of seafood is crucial for food security, but poor hygiene along the food production chain can result in low microbiological quality, posing significant risks for public health and seafood quality. Thus, this study aimed to a...

Methodological framework to identify possible adverse drug reactions using population-based administrative data [v1; ref status: indexed, http://f1000r.es/3ys]

Purpose: We present a framework for detecting possible adverse drug reactions (ADRs) using the Utah Medicaid administrative data. We examined four classes of ADRs associated with treatment of dementia by acetylcholinesterase inhibitors (ACh...

Students’ experiences of sexual harassment; a descriptive cross-sectional study in a college of education, Ghana

Introduction: Sexual harassment is a component of gender-based discrimination that indicates unequal power relations and affects students' psychological and physical well-being and academic achievement. This study assessed students’ experie...