Microsoft Technology Licensing, LLC

Alcatel Lucent

Yao Zhao

Jin Li

Philip Andrew Chou

Fang Yu

Eliot Carleton Gillum

Qifa Ke

Tian Bu

Yunnan Wu

Yinglian Xie

Minghua Chen

Baochun Li

Various exemplary embodiments relate to a method and related network node including one or more of the following: identifying, at the network node, a packet associated with a first address; determining, at the network node, that an alternate address mapping is unknown to the network node for the first address; generating a request message based on at least a portion of the packet; transmitting the request message to a different node; receiving a response message, the response message including a second address, wherein the second address is an alternative address for the first address; and storing the first address and the second address together as an alternate address mapping.

Mapping private and public addresses

Described is a distributed peer-assisted multicast content delivery system (e.g., a multiparty conferencing application) that uses an adaptive link rate control protocol to discover and adapt to an arbitrary topology quickly and converge to efficient link rate allocations allowed by an underlying network. Link rates are regularly obtained and used to determine trees for sending packets to other nodes. Network coding is used to implement data multicast so that mixtures (i.e., linear combinations) of the packets are transmitted in the network. The redundant packets may be differentiated from non-redundant ('innovative') packets such that network conditions may be measured by link innovation and/or session innovation.

Multiparty real time content delivery

Computer implemented methods are disclosed for detecting bot-user groups that send spam email over a web-based email service. Embodiments of the present system employ a two-prong approach to detecting bot-user groups. The first prong employs a historical-based approach for detecting anomalous changes in user account information, such as aggressive bot-user signups. The second prong of the present system entails constructing a large user-user relationship graph, which identifies bot-user sub-graphs through finding tightly connected subgraph components.

Graph based bot-user detection

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Oakland, CA, United States of America

Yao Zhao