Academic Articles & Research Papers

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

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...

Addressing Industry 4.0 Cybersecurity Challenges

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...

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...

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...

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...

SecureBERT: A Domain-Specific Language Model for Cybersecurity

Defining Social Engineering in Cybersecurity

Social engineering has posed a serious security threat to infrastructure, user, data and operations of cyberspace. Nevertheless, there are many conceptual deficiencies (such as inconsistent conceptual intensions, a vague conceptual boundary...

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

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...

Automated monitoring innovations for efficient and safe construction practices

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...

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...

Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks

The accuracy of wind power forecasting depends a great deal on the data quality, which is so susceptible to cybersecurity attacks. In this paper, we study the cybersecurity issue of short-term wind power forecasting. We present one class of...

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

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 ...

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

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...

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...

Cybersecurity

As more business activities are being automated and an increasing number of computers are being used to store sensitive information, the need for secure computer systems becomes more apparent. This need is even more apparent as systems and ...

Exposure to particulate matter (PM2.5) and prevalence of diabetes mellitus in Indonesia

Background: Recently emerging evidence suggests an association between particulate matter less than 2.5 µm in diameter (PM2.5) exposure and diabetes risk. However, evidence from Asia is limited. Here, we evaluated the association between PM...

Role of Chat GPT in Public Health

Removal of Microcystin-LR by a Novel Native Effective Bacterial Community Designated as YFMCD4 Isolated from Lake Taihu

Microcystin-LR (MC-LR) is the most toxic and frequently detected monocyclic heptapeptide hepatotoxin produced by cyanobacteria, which poses a great threat to the natural ecosystem and public health. It is very important to seek environment-...

Identification of wild-caught phlebotomine sand flies from Crete and Cyprus using DNA barcoding

Abstract Background Phlebotomine sand flies (Diptera: Psychodidae) are vectors of Leishmania spp., protozoan parasites responsible for a group of neglected diseases called leishmaniases. Two sand fly genera, Phlebotomus and Sergentomyia, co...