EFFORTS OF THE INTERNATIONAL AIR TRANSPORT ASSOCIATION IN ADDRESSING CYBER THREATS
Bibliographic record
Abstract
Objective: This study aims to examine the protective measures provided by the International Air Transport Association (IATA) for civil aviation in accordance with various relevant agreements in the cyber domain, including international agreements such as the Protocol on the Suppression of Unlawful Acts at Airports Serving Civil Aviation, annexed to the Montreal Convention of 1987, as well as regional agreements, in particular the European Commission Implementing Regulation No. 2019/1583. In addition, the study will clarify IATA's strategy for addressing cyber threats, emphasizing the need for cooperation between States and various governmental and non-governmental organizations. Theoretical Framework: The study is based on the main legal foundations directly and indirectly related to the cyber domain, which provide essential guarantees for the protection of the principle of air navigation safety against threats it may face, such as attacks on air traffic control networks and ticketing systems. This protection is supported by one of the most important active mechanisms for the protection of civil aviation: The International Air Transport Association (IATA). Method: A qualitative research approach will be used, focusing primarily on all international legislation related to the protection of civil aviation from cyber threats. Subsequently, IATA's efforts to address potential cybercrime threats to civil aviation will be examined. Results and Discussion: The research findings will highlight the extent to which IATA is contributing to the protection of civil aviation from cyber threats. It will also highlight the need for international and regional cooperation within the IATA framework to maintain the security of civil aviation in different countries. Research Implications: The findings of this research have significant implications for various stakeholders, including international law scholars, policy makers, civil aviation security officials, and individuals who use civil aircraft. The thorough analysis of the topic confirms that this is one of the most important studies contributing to the development of strategies to protect civil aircraft from cybercrime. Originality/Value: This study is considered to be one of the most important recent works dealing with the cyber threats that civil aviation may face. Through the analysis of international and regional agreements, it highlights the need for international cooperation to protect civil aviation from cyber threats.
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 | 0.019 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".