communication among neighboring sensor nodes in a sensor network is a challenging problem, due to the scale of sensor nets, the limited computation and communication resources of sensors, their deployment in hostile environments yet their lack of tamper-resistant hardware. The limited computation resources

for resource-constrained environments and wireless communication. SPINS has two secure building blocks: SNEP and TESLA. SNEP provides the following important baseline security primitives: Data con£dentiality, two-party data authentication, and data freshness. A particularly hard problem is to provide efficient

nodes — to defend routing against denial of service attacks. We also use replication and new cryptographic schemes, such as threshold cryptography, to build a highly secure and highly available key management service, which forms the core of our security framework.

of self-replicating inauthentic files. We describe an algorithm to decrease the number of downloads of inauthentic files in a peer-to-peer file-sharing network that assigns each peer a unique global trust value, based on the peer's history of uploads. We present a distributed and secure method

We introduce program shepherding, a method for monitoring control flow transfers during program execution to enforce a security policy. Program shepherding provides three techniques as building blocks for security policies. First, shepherding can restrict execution privileges on the basis of code

they provide a good substrate for creating large-scale data sharing, content distribution and application-level multicast applications. These P2P networks try to provide a long list of features such as: selection of nearby peers, redundant storage, efficient search/location of data items, data permanence

. Frangipaniis meant to run in a cluster of machines that are under a common administration and can communicate securely. Thus the machines trust one another and the shared virtual disk approach is practical. Of course, a Frangipani file system can be exported to untrusted machines using ordinary network file

Background: Programming in a shared-memory environment often requires the use of atomic regions for program correctness. Traditionally, atomicity is achieved through critical sections protected by locks. Unfortunately, locks are very difficult to program with since they introduce problems

. In this paper, we evaluate approximations to these two schemes in the context of a shared-memory multiprocessor environment. Our qualitative comparisons indicate that both schemes are able to reduce cache misses in the domain of linear array references. When complex data access patterns are considered

Abstract. We show that verifiable secret sharing (VSS) and secure multi-party computation (MPC) among a set of n players can efficiently be based on any linear secret sharing scheme (LSSS) for the players, provided that the access structure of the LSSS allows MPC or VSS at all. Because an LSSS