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    <title>SMARTech Community: College of Computing (CoC)</title>
    <link>http://smartech.gatech.edu/handle/1853/5977</link>
    <description>The College of Computing houses one of the largest computer science programs in the country</description>
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    <title>The Community's search engine</title>
    <description>Search the Channel</description>
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    <link>http://smartech.gatech.edu/simple-search</link>
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  <item rdf:about="http://smartech.gatech.edu/handle/1853/31222">
    <title>Learning Submodular Functions</title>
    <link>http://smartech.gatech.edu/handle/1853/31222</link>
    <description>Title: Learning Submodular Functions
&lt;br/&gt;
&lt;br/&gt;Authors: Balcan, Maria-Florina; Harvey, Nicholas J. A.
&lt;br/&gt;
&lt;br/&gt;Abstract: This paper considers the problem of learning submodular functions. A problem instance consists&#xD;
of a distribution on {0,1}[superscript n] and a real-valued function on {0,1}[superscript n] that is non-negative, monotone and&#xD;
submodular. We are given poly(n) samples from this distribution, along with the values of the function&#xD;
at those sample points. The task is to approximate the value of the function to within a multiplicative&#xD;
factor at subsequent sample points drawn from the distribution, with sufficiently high probability. We&#xD;
prove several results for this problem. • There is an algorithm that, for any distribution, approximates any such function to within a factor&#xD;
of √n on a set of measure 1 − ϵ.&#xD;
• There is a distribution and a family of functions such that no algorithm can approximate those&#xD;
functions to within a factor of Õ(n[superscript 1/3]) on a set of measure 1/2 + ϵ.&#xD;
• If the function is a matroid rank function and the distribution is a product distribution then there is&#xD;
an algorithm that approximates it to within a factor O (log(1/ϵ)) on a set of measure 1 − ϵ.&#xD;
Our study involves a twist on the usual learning theory models and uncovers some interesting extremal&#xD;
properties of submodular functions.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/31217">
    <title>Message Ferries as Generalized Dominating Sets in Intermittently Connected Mobile Networks</title>
    <link>http://smartech.gatech.edu/handle/1853/31217</link>
    <description>Title: Message Ferries as Generalized Dominating Sets in Intermittently Connected Mobile Networks
&lt;br/&gt;
&lt;br/&gt;Authors: Ammar, Mostafa H.; Polat, Bahadir K.; Sachdeva, Pushkar; Zegura, Ellen W.
&lt;br/&gt;
&lt;br/&gt;Abstract: Message ferrying is a technique for routing&#xD;
data in wireless and mobile networks in which one or more&#xD;
mobile nodes are tasked with storing and carrying data&#xD;
between sources and destinations. To achieve connectivity&#xD;
between all nodes, message ferries may need to relay data&#xD;
to each other. While useful as a routing technique for&#xD;
wireless mobile networks in general, message ferrying is&#xD;
particularly useful in intermittently connected networks&#xD;
where traditional MANET routing protocols are not usable.&#xD;
A wireless and mobile network is said to possess intrinsic&#xD;
message ferrying capability if a subset of the nodes can&#xD;
act as message ferries by virtue of their own mobility&#xD;
pattern, without introducing additional nodes or modifying&#xD;
existing node mobility. Our goal in this work is to provide a&#xD;
formalism by which one can characterize intrinsic message&#xD;
ferrying capability. We first observe that the use of message&#xD;
ferries is the mobile generalization of the well-known&#xD;
use of connected dominating set-based routing in wireless&#xD;
networks. We next consider the problem of identifying&#xD;
the set of nodes in a mobile network which can act as&#xD;
message ferries by virtue of their mobility pattern. To&#xD;
this end, we define the concept of a connected message&#xD;
ferry dominating set (CMFDS) in a manner that achieves&#xD;
data delivery within certain performance bounds. We then&#xD;
develop algorithms that can be used to find such a set&#xD;
within a mobile, wireless network. The general CMFDS&#xD;
algorithm is built around a core algorithm that determines&#xD;
whether a single node in the network can act as a ferry. We&#xD;
provide some illustrative examples to show the application&#xD;
of our algorithm to several mobility patterns.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/31036">
    <title>Privacy Preserving Grapevines: Capturing Social Network Interactions Using Delegatable Anonymous Credentials</title>
    <link>http://smartech.gatech.edu/handle/1853/31036</link>
    <description>Title: Privacy Preserving Grapevines: Capturing Social Network Interactions Using Delegatable Anonymous Credentials
&lt;br/&gt;
&lt;br/&gt;Authors: Balasubramaniyan, Vijay A.; Lee, Younho; Ahamad, Mustaque
&lt;br/&gt;
&lt;br/&gt;Abstract: A wide variety of services allow users to meet online and communicate with each other, building new&#xD;
social relationships and reinforcing older ones. Unfortunately, malicious entities can exploit such services&#xD;
for fraudulent activities such as spamming. It is critical that these services protect users from unwanted interactions,&#xD;
especially when new relationships are being established - the introduction problem. The problem&#xD;
of assessing that a social network connection is no longer beneficial is also important due to the dynamic&#xD;
nature of such networks. A large number of new connections are established through existing, weak social&#xD;
ties (for example, friend of a friend). On the other hand, the willingness of a user to continue interactions&#xD;
with an existing relationship is an indication of his or her endorsement of that relationship. The interaction&#xD;
history of a user provides valuable information about both new social network connections and the validity&#xD;
of established ones. However, capturing this interaction history is rife with privacy concerns. In this paper,&#xD;
we create a transferable token framework, based on delegatable anonymous credentials (DAC - Crypto&#xD;
2009), that captures interaction history in a privacy preserving manner. By using the Groth Sahai proof system,&#xD;
we extend DACs to allow for single use tokens with the ability to identify token double spenders. We&#xD;
show that such tokens can, simultaneously, demonstrate the existence of a social network path and capture&#xD;
the continued validity of a social network connection. We present an implementation of this DAC based&#xD;
token framework and utilize it in a Voice over IP (VoIP) setting to enable legitimate user interactions in the&#xD;
presence of a spammer threat model. Our results indicate that we are able to achieve low false positive and&#xD;
false negative rates for realistic threat scenarios without disclosing a user’s social network connections.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/30918">
    <title>Evaluating Bluetooth as a Medium for Botnet Command and Control</title>
    <link>http://smartech.gatech.edu/handle/1853/30918</link>
    <description>Title: Evaluating Bluetooth as a Medium for Botnet Command and Control
&lt;br/&gt;
&lt;br/&gt;Authors: Jain, Nehil; Lee, Wenke; Sangal, Samrit; Singh, Kapil; Traynor, Patrick
&lt;br/&gt;
&lt;br/&gt;Abstract: Malware targeting mobile phones is being studied with increasing interest by the research community. While&#xD;
such attention has previously focused on viruses and worms, many of which use near-field communications in&#xD;
order to propagate, none have investigated whether more complex malware such as botnets can effectively&#xD;
operate in this environment. In this paper, we investigate the challenges of constructing and maintaining mobile&#xD;
phone-based botnets communicating nearly exclusively via Bluetooth. Through extensive large-scale simulation&#xD;
based on publicly available Bluetooth traces, we demonstrate that such a malicious infrastructure is possible in&#xD;
many areas due to the largely repetitive nature of human daily routines. In particular, we demonstrate that&#xD;
command and control messages can propagate to approximately 2/3 of infected nodes within 24 hours of being&#xD;
issued by the botmaster. We then explore how traditional defense mechanisms can be modified to take advantage&#xD;
of the same information to more effectively mitigate such systems. In so doing, we demonstrate that mobile&#xD;
phone-based botnets are a realistic threat and that defensive strategies should be modified to consider them.</description>
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