
doi: 10.1145/989.991
Military systems that process classified information must operate in a secure manner; i.e., they must adequately protect information against unauthorized disclosure, modification, and withholding. A goal of current research in computer security is to facilitate the construction of multilevel secure systems, systems that protect information of different classificationsfrom users with different clearances. Security models are used to definethe concept of security embodied by a computer system. A single model, called the Bell and LaPadula model, has dominated recent efforts to build secure systems but has deficiencies. We are developing a new approach to defining security models based on the idea that a security model should be derived from a specificapplication. To evaluate our approach, we have formulated a security model for a family of military message systems. This paper introduces the message system application, describes the problems of using the Bell-LaPadula model in real applications, and presents our security model both informally and formally. Significantaspects of the security model are its definition of multi-level objects and its inclusion of application-dependent security assertions. Prototypes based on this model are being developed.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 104 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
