Argumentation-based Security for Social Good
This addresses security problems for social good, but it appears incremental as it applies an existing technique to specific domains.
The paper tackles cyber attack attribution and regulatory data sharing by proposing an argumentation reasoning approach to make decisions under incomplete and conflicting information, enabling identification of attackers and selection of appropriate data-sharing rules.
The increase of connectivity and the impact it has in every day life is raising new and existing security problems that are becoming important for social good. We introduce two particular problems: cyber attack attribution and regulatory data sharing. For both problems, decisions about which rules to apply, should be taken under incomplete and context dependent information. The solution we propose is based on argumentation reasoning, that is a well suited technique for implementing decision making mechanisms under conflicting and incomplete information. Our proposal permits us to identify the attacker of a cyber attack and decide the regulation rule that should be used while using and sharing data. We illustrate our solution through concrete examples.