1 / 1

Hardening Distributed Volunteer Computations

Hardening Distributed Volunteer Computations. Distributed Volunteer Computing. A. C. Welcome to the Internet, my friend. How can I help you?. CAGGATCTCAAGC. 2351. 2351. 1624. 1624. CAGCATATCACGT. 2323. 2323. 1352. 1352. Participants (Bob). “Alice”. “Bob 1”. “Bob 2”.

magee-workman
Download Presentation

Hardening Distributed Volunteer Computations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Hardening Distributed Volunteer Computations Distributed Volunteer Computing A C Welcome to the Internet, my friend. How can I help you? CAGGATCTCAAGC 2351 2351 1624 1624 CAGCATATCACGT 2323 2323 1352 1352 Participants (Bob) “Alice” “Bob 1” “Bob 2” Supervisor (Alice) http://dvc.richmond.edu • The Setting • This research investigates the protection of computation integrity and enhancement of data privacy for applications executed on distributed computing platforms that utilize the spare processor cycles of computers connected to the Internet. The goal of the project is to provide computation supervisors with quantifiable protection and privacy mechanisms tailored to application and platform specific constraints. The project considers existing platforms, which prohibit participating computers ("participants") from communicating with other participants, as well as potential future hierarchical platforms that permit communication among participants and allow dynamic variation of platform topology. • The approach to the problem of computation integrity consists of probabilistic verification and novel application of artificial intelligence mechanisms for detecting anomalous behavior. The approach to data privacy is based on obscuring data values while maintaining sufficient output information for identifying specific important data from among a vast data set. Access to more secure distributed volunteer computing platforms will potentially benefit researchers from a variety of disciplines, including biology, chemistry, math, finance, medicine, climatology, and evolutionary theory. Approach Application and Platform Taxonomy AI Methods for Detecting Malicious Activity Enhanced Privacy via obscured data values Application and Platform Specific Security Taxonomy • Enhanced Platforms and Protection Measures: • Hierarchical: Communication between Participants • Dynamic Topology • Task Heterogeneous • People • PIs • Barry Lawson • Jason Owen • Doug Szajda (PI) • Students • Matt King • Mike Pohl • Andy White • Brittany Williams Improved Collusion Resistance, Fewer Tasks: Genetic Sequence Privacy Example: Participants compare ``offsets’’ T1 T2 T3 T4 NSF Award IIS-0524239: Ensuring Computation Integrity in Distributed Volunteer Computing Platforms T5 T6

More Related