M
Michael J. Freedman
Researcher at Massachusetts Institute of Technology
Publications - 155
Citations - 16221
Michael J. Freedman is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Server & Web server. The author has an hindex of 54, co-authored 150 publications receiving 15169 citations. Previous affiliations of Michael J. Freedman include Center for Information Technology & Hebrew University of Jerusalem.
Papers
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Proceedings ArticleDOI
Ethane: taking control of the enterprise
TL;DR: Ethane allows managers to define a single network-wide fine-grain policy, and then enforces it directly, and this design is backwards-compatible with existing hosts and switches.
Book ChapterDOI
Efficient Private Matching and Set Intersection
TL;DR: In this paper, the problem of computing the intersection of private datasets of two parties, where the datasets contain lists of elements taken from a large domain, was considered and protocols based on the use of homomorphic encryption and balanced hashing were proposed.
Efficient private matching and set intersection
TL;DR: This work considers the problem of computing the intersection of private datasets of two parties, where the datasets contain lists of elements taken from a large domain, and presents protocols, based on the use of homomorphic encryption and balanced hashing, for both semi-honest and malicious environments.
Journal ArticleDOI
Frenetic: a network programming language
Nate Foster,Rob Harrison,Michael J. Freedman,Christopher Monsanto,Jennifer Rexford,Alec Story,David Walker +6 more
TL;DR: Frenetic provides a declarative query language for classifying and aggregating network traffic as well as a functional reactive combinator library for describing high-level packet-forwarding policies, which facilitates modular reasoning and enables code reuse.
Proceedings ArticleDOI
Tarzan: a peer-to-peer anonymizing network layer
TL;DR: Measurements show that Tarzan imposes minimal overhead over a corresponding non-anonymous overlay route, and Protocols toward unbiased peer-selection offer new directions for distributing trust among untrusted entities.