Vacha Dave
Advisor: Dr. Yin Zhang
Department of Computer Sciences
University of Texas at Austin
Phone: +1-512-232-7884
Address: 1616 Guadalupe, Suite 2.408, Austin, TX 78701, USA
Office: ACES 6SEi4E , Email: vacha at cs dot utexas dot edu
Latest
Research Interests
I enjoy Computer Networks. I have dabbled in diverse
areas like Wireless networks, Privacy in Mobile Networks,
Recommendation systems in Social Networks, Botnets, to name a few.
I began my PhD work, looking at the problem of link prediction at a
massive scale in social networks, followed by how to discover
friends in a privacy-preserving manner in mobile social
networks. Finally, I worked on the general problem of analysis of social network graph at scale.
Currently, I am focusing at the problem of click-spam in ad
networks. Here
is click-spam data that I collected over Dec 2011 - June 2012.
Publications
- ViceROI: Catching Click-spam in Search Ad Networks,(CCS
2013)
- Model-driven Energy-Aware Rate Adaptation, (Mobihoc 2013)
- Measuring
and Fingerprinting ClickSpam in Ad Networks, (SIGCOMM
2012)
| bibtex
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slides
Vacha Dave, Saikat Guha and Yin Zhang
- Clustered Embedding of Massive Social Networks, (SIGMETRICS
2012)
Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave,
Zhengdong Lu, Inderjit Dhillon, Yin Zhang and Lili Qiu
- Secure Friend Discovery in Mobile Social Networks,(INFOCOM
2011)
Wei Dong, Vacha Dave, Yin Zhang and Lili Qiu
- Scalable
Proximity Estimation and Link Prediction in Online Social
Networks, (IMC 2009)
Han Hee Song, Tae Won Cho, Vacha
Dave, Yin Zhang and Lili Qiu
Office Hours
No office hours for Summer 2012.
Teaching
I have been the teaching assistant for
- Introduction to Operating Systems
- Graduate Wireless Networks(CS 386W)
- Graduate Communication Networks (CS 386M)
- Advanced Computer Networks (CS 378)
- Intoduction to Computer Security (CS 361)
- Computer Networks (CS356)
From Fall 2006-2007, I was supported by the MCD Fellowship.
Presentations
Measuring
and fingerprinting click-spam talk: A work that shows that its
possible to estimate the amount of click-spam in an ad network, as
an advertiser, and shows that mobile and social ad networks have
high spam. Also detects several ongoing attacks.
Wireless Networks Project (EE382V) Presentation: An NS2 study which shows that transmitting at the highest data rate in a linear chain 802.11 Network does not always result in the highest throughput.
NS2 Tutorial Presentation : An introductory presentation to NS2, with three example scripts, that I gave as the TA for the Advanced Computer Networks (CS378) class.
Other Stuff
Code Snippets and Utilities Some code snippets and utilities, that I have picked up, as part of work.