Results 61 to 70 of about 1,242 (180)

Balancing Digital Transformation and Modernization: Pathways for Public Managers

Public Administration Review, EarlyView.
ABSTRACT This study examines the interplay between digital modernization and transformation in the public sector, challenging the notion that they are mutually exclusive strategies. Through interviews with public sector leaders, we find that modernization and transformation can be jointly implemented rather than managed as competing efforts.
Marc E. B. Picavet, Kevin C. Desouza, Gregory S. Dawson, James S. Denford, Daniel Chenok   +4 more
wiley   +1 more source

When Business Breaks the Rules: The Value of a Criminology‐Informed “Organizational” Perspective for the Regulation of White‐Collar and Corporate Crimes

Regulation &Governance, EarlyView.
ABSTRACT This article argues that if the aspiration is to enhance regulatory and governance responses to white‐collar and corporate crimes, consideration of the organization of these offending behaviors must be central to the scholarly, practice, and policy discussion.
Nicholas Lord, Michael Levi
wiley   +1 more source

Artificial intelligence in blood donor management: A narrative review

Vox Sanguinis, EarlyView.
Abstract Blood transfusions are vital in health care, yet maintaining an adequate and safe blood supply remains a significant challenge. To address blood donation–associated challenges, this review explores how integrating artificial intelligence (AI) technologies can improve donor recruitment, retention and management.
Maha A. Badawi
wiley   +1 more source

Cybersecurity Assurance for SMEs: A Conceptual Framework Integrating Organizational Culture, Fraud Risk Management and Forensic Accounting

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 1, March 2026.
ABSTRACT As digitalization accelerates across the global economy, small and medium enterprises (SMEs) face increasing exposure to cybersecurity threats, not due to flaws in external platforms, but because of internal organizational vulnerabilities. This paper presents a conceptual framework that integrates the resource‐based view (RBV) and dynamic ...
Ifedapo Francis Awolowo, Egena Ode, Adenike Abidoye, Oluwaseun Ajao, Olamide Jogunola   +4 more
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Visualizing Portable Executable Headers for Ransomware Detection: A Deep Learning-Based Approach [PDF]

Journal of Universal Computer Science
In recent years, the rapid evolution of ransomware has led to the development of numerous techniques designed to evade traditional malware detection methods.
Tien Quang Dam, Nghia Thinh Nguyen, Trung Viet Le, Tran Duc Le, Sylvestre Uwizeyemungu, Thang Le-Dinh   +5 more
doaj   +3 more sources

Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam, Nuruzzaman Faruqui, Akm Azad, Mohammad Ali Moni   +3 more
wiley   +1 more source

Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning

Discover Computing
Ransomware attacks represent a more potent and upcoming cybersecurity threat and traditional detection strategies have been ineffective against new and polymorphic ransomware variants.
Suneeta Satpathy, Pratik Kumar Swain
doaj   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

Ransomware Detection Using Machine Learning: A Review, Research Limitations and Future Directions

IEEE Access
Ransomware attacks are on the rise in terms of both frequency and impact. The shift to remote work due to the COVID-19 pandemic has led more people to work online, prompting companies to adapt quickly.
Jamil Ispahany, Md. Rafiqul Islam, Md. Zahidul Islam, M. Arif Khan   +3 more
doaj   +1 more source