Research in the lab is focused on cognitive radio and dynamic spectrum access networks, wireless security, text mining, social networks, and mage/video steganography and steganalysis
SpiderRadio Wireless Research
IP Geolocation:
Planet lab measurement data for IP geolocation: <http://www.ece.stevens-tech.edu/~mouli/ipgeodata.tar.gz> used in "Network measurement based modeling and optimization for IP geolocation" and "Estimation of missing RTTs in computer networks: Matrix completion vs compressed sensing".
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YouTube has become a very important social phenomenon by functioning as a popular portal for video content.
It has become ubiquitous and the medium of choice for disseminating user generated video content.
Because of its wide popularity, it is important to ask if this medium can be used to communicate secret messages
to a wide audience around the globe. We ask and answer the question: is it possible to convey hidden message though
this medium. Considering that the videos uploaded to YouTube undergo format conversion as well as compression and
that the embedder has no control over or knowledge of the parameters involved in the process, this is a tough challenge.
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With recent proliferation in wireless services and
increase in the number of end-users, wireless
industry is fast moving toward a new wireless
networking model where wireless service providers
are finding it difficult to satisfy users and
increase revenue with just the spectrum statically
allocated. Spectrum usage being both space and time
dependent, a static allocation often leads to low
spectrum utilization and "artificial scarcity" of
spectrum. This results in significant amount of
"white space" (unused band) available in several
spectral bands that could be exploited by both
licensed and unlicensed
services.
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Twitter is growing
into a major social networking platform.
Currently, there are several million Twitter
users generating huge amounts of text data
every minute. Therefore, developing tools to
sample Twitter data, analyzing the collected
data and drawing conclusions are major
challenges.
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Deception is falsification of information.
Detecting deception from text is a
challenging problem. Deceptive text content,
for example, may be found in social
networking sites, emails scams, email
phishing, blogs, chat rooms, etc. Our
approach uses a combination of psychology,
linguistics and statistical analysis to
detect deception. Try it! We do not capture
any personal information. The text your
enter will be stored for further research.
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