University of Pennsylvania
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Submitted by aking on Wed, 02/20/2013 - 1:27am
Patient Controlled Analgesia (PCA) is a prefered pain management therapy for patients who have undergone some form of physical trauma (e.g. surgery, vehicular accident, etc). PCA typically is delivered using a PCA pump; when the patient wants pain relief they press a trigger attached to the pump which causes the pump to release a bolus of pain medication. Unfortunately, PCA therapy is implicated in many serious medical accidents due to the potential for overdose. This video shows how PCA could be safer if medical devices could truly interoperate with each other.
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This poster will present secure network provenance (SNP), a novel capability that enables networked systems to explain to their operators why they are in a certain state - e.g., why a suspicious routing table entry is present on a certain router, or where a given cache entry originated. SNP provides network forensics capabilities by permitting operators to track down faulty or misbehaving nodes, and to assess the damage such nodes may have caused to the rest of the system.
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Andre Scedrov received his Ph.D. in Mathematics in 1981 at the State University of New York at Buffalo. He is a Professor of Mathematics and a Professor of Computer and Information Science at the University of Pennsylvania. His contributions are in logic, programming language semantics, and most recently, in information assurance. He has written over 90 research articles and several books. Prof. Scedrov has led two projects under the Critical Infrastructure Protection and High Confidence, Adaptable Software University Research Initiative.
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Submitted by Katie Dey on Mon, 08/27/2012 - 9:00pm
