Basel Bani-Ismail
Biographic Data
| ID | 10122159 |
|---|---|
| NAME | Basel Bani-Ismail |
| GIVEN NAMES | Basel |
| FAMILY NAME | Bani-Ismail |
| SIGNATURE | BANI-ISMAIL B |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Enhancing secure access through time-stamped password analysis
The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis …
Exploring the role of machine learning models in risk assessment models for developed organizations’ management decision policies
The goal of this work was to create and assess machine-learning models for estimating the risk of budget overruns in developed projects. Finding the best model for risk forecasting required evaluating the performance of several models. Using a dataset of 177 projects took into account variables like environmental risks employee skill level safety incidents and project complexity. In our experiments, we analyzed the application of different machin…
No prominent works on this page.
Enhancing secure access through time-stamped password analysis
The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis …
Exploring the role of machine learning models in risk assessment models for developed organizations’ management decision policies
The goal of this work was to create and assess machine-learning models for estimating the risk of budget overruns in developed projects. Finding the best model for risk forecasting required evaluating the performance of several models. Using a dataset of 177 projects took into account variables like environmental risks employee skill level safety incidents and project complexity. In our experiments, we analyzed the application of different machin…
Business (2 works) · Computer Science (2 works) · Computer security (2 works) · Economic and Technological Systems Analysis (1 work) · Engineering (1 work) · Finance (1 work) · Knowledge management (1 work) · Management science (1 work) · Password (1 work) · Process management (1 work)