Reset
Showing 20 of 50 academic articles

Explainable artificial intelligence for cybersecurity: a literature survey

Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications (2022)

Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12243-022-00926-7

Pore-Throat-Adaptive Transport and Flow-Redistribution Mechanisms of Deformable Hydrogel Particles in Tight Reservoirs of the Ordos Basin

Hongguang Li, Hujun Gong • Gels (2026)

Tight reservoirs commonly exhibit strong pore-throat confinement and flow heterogeneity, which cause injected water to preferentially migrate through connected high-conductivity pathways while a large fraction of movable fluids remains unde...

DOAJ Open Access (DOAJ) DOI: 10.3390/gels12100924

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

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

An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction (2025)

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

DOAJ Open Access (DOAJ) DOI: 10.54216/JCHCI.100201

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

Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones (2025)

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones9010046

LASIK Surgery

Megan Yu • Voices in Bioethics (2020)

Photo by Scott Van Daalen on Unsplash INTRODUCTION LASIK surgery, one of the most common elective procedures worldwide, aims to decrease or eliminate the need to wear glasses or contact lenses by reshaping the cornea’s curvature to re...

DOAJ Open Access (DOAJ)

A study on process information-driven cyber threat detection for I&C systems in NPP

Jae Hwan Kim, Kwang Seop Son, Jae Gu Song, Yong Gu Lee et al. • Nuclear Engineering and Technology (2026)

The increasing digitalization of Instrumentation and Control (I&C) systems in Nuclear Power Plants (NPPs) has improved operational efficiency while introducing cybersecurity vulnerabilities. Conventional network-based intrusion detection sy...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.net.2025.103879

A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar • Applied Sciences (2025)

In the rapid development of the Internet of Things (IoT) and large-scale distributed networks, Intrusion Detection Systems (IDS) face significant challenges in handling complex spatiotemporal features and addressing data imbalance issues. T...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15031552

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning

Xiaoxiao Ma, Jia Xin Wu, Shan Xue, Jian Yu Yang et al. • IEEE Transactions on Knowledge and Data Engineering (2021)

Anomalies are rare observations (e.g., data records or events) that deviate significantly from the others in the sample. Over the past few decades, research on anomaly mining has received increasing interests due to the implications of thes...

OPENALEX Open Access DOI: https://doi.org/10.1109/tkde.2021.3118815

A Deep Learning Approach for Network Intrusion Detection System

Ahmad Y. Javaid, Quamar Niyaz, Weiqing Sun, Mansoor Alam • International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS) (2016)

A Network Intrusion Detection System (NIDS) helps system administrators to detect network security breaches in their organizations. However, many challenges arise while developing a flexible and efficient NIDS for unforeseen and unpredictab...

OPENALEX cc-by DOI: https://doi.org/10.4108/eai.3-12-2015.2262516

Machine Learning and Deep Learning Approaches for CyberSecurity: A Review

Asmaa Hani Halbouni, Teddy Surya Gunawan, Mohamed Hadi Habaebi, Murad Halbouni et al. • IEEE Access (2022)

The rapid evolution and growth of the internet through the last decades led to more concern about cyber-attacks that are continuously increasing and changing. As a result, an effective intrusion detection system was required to protect data...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2022.3151248

Identifying private pumping wells in a land subsidence area in Taiwan using deep learning technology and street view images

Chun-Wei Huang, Si Ying Yau, Chiao-Ling Kuo, Tsai-Yu Kuan et al. • Journal of Hydrology: Regional Studies (2024)

Study region: The Choushui River Fan, Taiwan. Study focus: Groundwater overdraft has led to not only groundwater depletion but also environmental disasters, such as subsidence and seawater intrusion in the Choushui River Alluvial Fan, Taiwa...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2023.101636