The exponential growth of interconnected systems has dramatically expanded the attack surface of modern networks, making zero-day attacks, which exploit previously unknown vulnerabilities, a critical threat to organizational security. Traditional signature-based and anomaly detection systems often struggle to identify...
Despite the benefits associated with the use of smart meters in advanced metering infrastructure, the widespread deployment of such meters has introduced vulnerabilities that leave power systems susceptible to stealthy false data injection attacks which cannot be detected by conventional methods. In this paper, we pres...
Mohiuddin Mehedi, Abdul Aziz Kabir, K. Ahmed et al.· Computers· 0 citations
Results support the hypothesis that ensemble learning captures non-linear interactions between technical and information-quality dimensions, offering a reproducible, theoretically grounded foundation for data-driven MIS decision-making in digital commerce.
Mainul Islam Khan, Md Abutaher Dewan, K. Ahmed et al.· Information· 0 citations
This work introduces a novel solution that utilizes cryptography and Artificial Intelligence (AI)-powered predictive modeling for the security of supply chain data and provides a more comprehensive security solution that extends cryptography for intermediary supply chain data, making it more secure and protected from p...
Alfaiz Madhiya, Vijay Solanki, K. Ahmed et al.· Computers· 0 citations
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