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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

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

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

Adversarial XAI Methods in Cybersecurity

Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security (2021)

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...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/tifs.2021.3117075

COVID ‐19 pandemic cybersecurity issues

Bernardi Pranggono, Abdullahi Arabo • Internet Technology Letters (2020)

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 ...

OPENALEX cc-by DOI: https://doi.org/10.1002/itl2.247

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

Bimal Ghimire, Danda B. Rawat • IEEE Internet of Things Journal (2022)

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...

OPENALEX DOI: https://doi.org/10.1109/jiot.2022.3150363

China and Cybersecurity

• Oxford University Press eBooks (2015)

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...

OPENALEX DOI: https://doi.org/10.1093/acprof:oso/9780190201265.001.0001

Cybersecurity Risks in a Pandemic

Christina Meilee Williams, Rahul Chaturvedi, Krishnan V Chakravarthy • Journal of Medical Internet Research (2020)

Cybersecurity threats are estimated to cost the world US $6 trillion a year by 2021, and the number of attacks has increased five-fold after COVID-19. Although there is substantial literature on the threats technological vulnerabilities hav...

OPENALEX cc-by DOI: https://doi.org/10.2196/23692 PMC: 7528623

Defining Social Engineering in Cybersecurity

Zuoguang Wang, Limin Sun, Hongsong Zhu • IEEE Access (2020)

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...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.2992807

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

Ruiyun Fu, Mary E. Lichtenwalner, Thomas J. Johnson • IEEE Access (2023)

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...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324177

Hardware-Anchored ES-SPA: A Dynamic Zero-Trust Architecture for Secure eSIM Provisioning in 6G IoT via Moving Target Defense

Hari N. N., Kurunandan Jain, Prabu P, Prabhakar Krishnan • Future Internet (2026)

The rapid evolution of 6G networks and large-scale Internet of Things (IoT) deployments intensifies security and privacy challenges in embedded SIM (eSIM) Remote SIM Provisioning (RSP), particularly during the bootstrap and profile delivery...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi18040187

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

Practical Vulnerability-Information-Sharing Architecture for Automotive Security-Risk Analysis

Yousik Lee, Samuel Woo, Yunkeun Song, Jungho Lee et al. • IEEE Access (2020)

Emerging trends that are shaping the future of the automotive industry include electrification, autonomous driving, sharing, and connectivity, and these trends keep changing annually. Thus, the automotive industry is shifting from mechanica...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3004661

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

Dinh Hoa Nguyen • IEEE Access (2021)

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...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3125031