Safeguarding the Information Systems in an Organization through Different Technologies, Policies, and Actions
Bibliographic record
Abstract
Background: Information system use has substantially increased among the organization based on its effective integration of the resources and improved performance. The increasing reliance on the information system serves as a great security threat for the firms. Objective: The study intends to evaluate the security of the information system in the organization located in the region of Saudi Arabia, concerning the user’s awareness level. Methods: The quantitative design of the study is adopted which uses the survey approach. A close-ended questionnaire is used for evaluating the awareness level among the individuals. A total of 109 participants (males and females) in the Saudi Company were recruited for the study. Results: Despite the implementation of the policy, employees were unaware of it. The study highlights that the development of the firm’s information security policy requires the firm to make employees aware of the significance of the information security. Conclusion: The study concludes that the organization needs to educate the workforce of the information security policy and develop their necessary understanding of the information security system. This allows the employees to identify and report security threats and risks which helps in the improvement of information security awareness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".