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Yanbin Grace Liu

dblp:97/5082 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Routing and switching · 39% Internet architecture and protocols · 30% Network optimization and economics · 30%
Network and information security
1 paper
Network security · 44% Authentication and access control · 44% Cryptographic protocols and secure computation · 13%
Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › overlay networks
application-aware routing
0.112008
P4p: provider portal for applications · SIGCOMM 2008
Routing and switching
inter-domain routing
0.112008
P4p: provider portal for applications · SIGCOMM 2008
Network optimization and economics
resource allocation
0.112008
P4p: provider portal for applications · SIGCOMM 2008
Authentication and access control › access control › access control mechanisms
cryptographic enforcement
0.112005
On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretical and cryptographic techniques · MobiCom 2005
Network security
routing security
0.112005
On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretical and cryptographic techniques · MobiCom 2005
Algorithmic game theory and mechanism design › mechanism design › incentive compatibility
incentive-compatible routing
0.112005
On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretical and cryptographic techniques · MobiCom 2005
Routing and switching
routing policy
0.012008
P4p: provider portal for applications · SIGCOMM 2008

Methods — techniques the papers use, named apart from their topics

cryptographic techniques · 0.1VCG mechanism · 0.1
YearPublicationVenuePosition
2008 P4p: provider portal for applications
Haiyong Xie 0001, Yang Richard Yang, Arvind Krishnamurthy, Yanbin Grace Liu, Avi Silberschatz
SIGCOMM4
2007 On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks
Sheng Zhong 0002, Li Erran Li, Yanbin Grace Liu, Yang Richard Yang
Wirel. Networks3
2005 On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretical and cryptographic techniques
abstract
In many applications, wireless ad-hoc networks are formed by devices belonging to independent users. Therefore, a challenging problem is how to provide incentives to stimulate cooperation. In this paper, we study ad-hoc games---the routing and packet forwarding games in wireless ad-hoc networks. Unlike previous work which focuses either on routing or on forwarding, this paper investigates both routing and forwarding. We first uncover an impossibility result---there does not exist a protocol such that following the protocol to always forward others' traffic is a dominant action. Then we define a novel solution concept called cooperation-optimal protocols. We present Corsac, a cooperation-optimal protocol consisting of a routing protocol and a forwarding protocol. The routing protocol of Corsac integrates VCG with a novel cryptographic technique to address the challenge in wireless ad-hoc networks that a link's cost (ie, its type) is determined by two nodes together. Corsac also applies efficient cryptographic techniques to design a forwarding protocol to enforce the routing decision, such that fulfilling the routing decision is the optimal action of each node in the sense that it brings the maximum utility to the node. Additionally, we extend our framework to a practical radio propagation model where a transmission is successful with a probability. We evaluate our protocols using simulations. Our evaluations demonstrate that our protocols provide incentives for nodes to forward packets.
Sheng Zhong 0002, Li Erran Li, Yanbin Grace Liu, Yang Richard Yang
MobiCom3