Shall We Collaborate?: A Model to Analyse the Benefits of Information Sharing
Title | Shall We Collaborate?: A Model to Analyse the Benefits of Information Sharing |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Garrido-Pelaz, Roberto, González-Manzano, Lorena, Pastrana, Sergio |
Conference Name | Proceedings of the 2016 ACM on Workshop on Information Sharing and Collaborative Security |
Date Published | October 2016 |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4565-1 |
Keywords | Computing Theory, cybersecurity, game theory, Human Behavior, information sharing, pubcrawl, Trust |
Abstract | Nowadays, both the amount of cyberattacks and their sophistication have considerably increased, and their prevention concerns many organizations. Cooperation by means of information sharing is a promising strategy to address this problem, but unfortunately it poses many challenges. Indeed, looking for a win-win environment is not straightforward and organizations are not properly motivated to share information. This work presents a model to analyse the benefits and drawbacks of information sharing among organizations that present a certain level of dependency. The proposed model applies functional dependency network analysis to emulate attacks propagation and game theory for information sharing management. We present a simulation framework implementing the model that allows for testing different sharing strategies under several network and attack settings. Experiments using simulated environments show how the proposed model provides insights on which conditions and scenarios are beneficial for information sharing. |
URL | https://dl.acm.org/doi/10.1145/2994539.2994543 |
DOI | 10.1145/2994539.2994543 |
Citation Key | garrido-pelaz_shall_2016 |