The previous sections described the security functions that are common to all of the Flask object managers. In this section, we discuss the specific features that have been added to the microkernel. Support for revocation, however, will be discussed separately in Section 5.4. The specific features that were added to some of the other Flask object managers are described in Appendix A.
Due to the requirements of Fluke's architecture, each active kernel object is associated with a small chunk of physical memory . Though ``memory'' is not itself an object within the microkernel, the microkernel provides the base service for memory management and binds a SID to each memory segment. The SID of each kernel object is identical to the SID of the memory segment with which it is associated. This relationship between the label of memory and the label of kernel objects associated with that memory permits the Flask microkernel controls to leverage the existing protection model of Fluke, rather than introducing an orthogonal protection model as in DTOS. However, it also creates a potential loss of labeling flexibility, since the memory allocation granularity is much coarser than the allocation granularity for kernel objects.
Flask provides direct security policy control over the propagation of memory access modes by associating a Flask permission with each mode, based on the SID of the address space and the SID of the memory segment. These memory access modes also act as capabilities to kernel objects associated with the memory. During the initial attempt to access mapped memory, the microkernel verifies that the security policy explicitly grants permission for each requested access mode. Memory permissions cannot be computed at the level of any interface in Fluke, and are computed instead during page faults; hence, these controls provide an example where merely intercepting requests would be insufficient. Since the SID of a memory segment is not allowed to change, the Flask permissions need only be revalidated if a policy change occurs, as discussed in Section 5.4.
In Fluke, a port reference serves as a capability for performing an IPC to a server thread waiting on the corresponding port set. Control over propagation in Fluke may be performed through typical interposition techniques. In contrast, Flask provides direct control over the use of such port references by only allowing an IPC connection between two subjects if the appropriate permissions shown in Table 1 are satisfied. These direct controls permit the policy to regulate the use of capabilities, addressing the concerns of Section 3.1.
An interesting aspect of the Flask microkernel is the controls that are imposed on relationships between objects. In Fluke, these relationships are defined through the use of object references (e.g. the state of a thread contains an address space reference). Unfortunately, these references are used in many different ways, in contrast to the way in which read and write access modes are used to control access to kernel objects. For example, a reference to an address space may be used to map memory into the space or to export memory from the space. Hence, Flask introduces separate controls over these relationships and provides finer-grained control than Fluke. Some of the controls simply require the two objects to have equal SIDs, while others involve explicit permissions, as described in detail in [44, Sec. 3].