Until recently, the design of packet dropping adversary identification protocols that are robust to both benign packet loss and malicious behavior has proven to be surprisingly el...
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Existing Web service notification and eventing standards are useful in many applications, but they have serious limitations that make them ill-suited for large-scale deployments, ...
— Distributed sensor network protocols, such as routing, time synchronization or data aggregation protocols make use of collaborative techniques to minimize the consumption of sc...
Secure Function Evaluation (SFE) protocols are very hard to design, and reducibility has been recognized as a highly desirable property of SFE protocols. Informally speaking, reduc...