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Xiaowei Yang
Researcher at Duke University
Publications - 60
Citations - 5261
Xiaowei Yang is an academic researcher from Duke University. The author has contributed to research in topics: The Internet & Network packet. The author has an hindex of 29, co-authored 59 publications receiving 5035 citations. Previous affiliations of Xiaowei Yang include University of California, Irvine & Massachusetts Institute of Technology.
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Proceedings ArticleDOI
CloudCmp: comparing public cloud providers
TL;DR: Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, it is found that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection.
Proceedings Article
Aiding the detection of fake accounts in large scale social online services
TL;DR: A new tool in the hands of OSN operators, which relies on social graph properties to rank users according to their perceived likelihood of being fake (SybilRank), which is computationally efficient and can scale to graphs with hundreds of millions of nodes, as demonstrated by the Hadoop prototype.
Proceedings ArticleDOI
A DoS-limiting network architecture
TL;DR: The design and evaluation of TVA is presented, a network architecture that limits the impact of Denial of Service (DoS) floods from the outset and can run on gigabit links using only inexpensive off-the-shelf hardware.
Proceedings ArticleDOI
Uncovering Large Groups of Active Malicious Accounts in Online Social Networks
TL;DR: This work designs and implements a malicious account detection system called SynchroTrap that clusters user accounts according to the similarity of their actions and uncovers large groups of malicious accounts that act similarly at around the same time for a sustained period of time.
Journal ArticleDOI
NIRA: a new inter-domain routing architecture
TL;DR: The design and evaluation of a new Internet routing architecture (NIRA) that gives a user the ability to choose the sequence of providers his packets take and shows that NIRA supports user choice with low overhead are presented.