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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/5" />
  <subtitle />
  <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/5</id>
  <updated>2026-06-20T10:54:44Z</updated>
  <dc:date>2026-06-20T10:54:44Z</dc:date>
  <entry>
    <title>MobiShare : cloud-enabled opportunistic content sharing among mobile peers</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/69" />
    <author>
      <name>Yadav, Kuldeep</name>
    </author>
    <author>
      <name>Naik, Vinayak</name>
    </author>
    <author>
      <name>Singh, Amarjeet</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/69</id>
    <updated>2017-07-24T17:14:42Z</updated>
    <published>2012-10-12T05:40:45Z</published>
    <summary type="text">Title: MobiShare : cloud-enabled opportunistic content sharing among mobile peers
Authors: Yadav, Kuldeep; Naik, Vinayak; Singh, Amarjeet
Abstract: In developing countries, smartphones and high&#xD;
bandwidth connections are not yet within the reach of&#xD;
majority of the people. To share multimedia content among&#xD;
themselves, people rely on manual local sharing mechanisms&#xD;
i.e. either using physical exchange of memory card or through&#xD;
short-range wireless technologies, such as Bluetooth. However,&#xD;
this model of content sharing is not scalable in terms of&#xD;
number of users and shared items.&#xD;
In this paper, we propose MobiShare which is a mobilecloud&#xD;
based system designed to support searching and sharing&#xD;
of content among pair of mobile peers. The cloud does&#xD;
aggregation of shared content in user’s social network and&#xD;
enables scalable content search with real-time computation of&#xD;
expected encounter time between content source and requester.&#xD;
For finding expected encounter time, we build algorithms for&#xD;
(1) Finding mobility profiles of the users using heterogeneous&#xD;
location data services such as Cell ID and WiFi; and (2)&#xD;
Predicting places that will be visited in the future, together with&#xD;
corresponding time spent, using those profiles. We deployed&#xD;
MobiShare with 16 volunteers and collected data for 4 weeks.&#xD;
We present evaluation results of the system based on the&#xD;
collected data.</summary>
    <dc:date>2012-10-12T05:40:45Z</dc:date>
  </entry>
  <entry>
    <title>Take control over your SMSes : a real-world evaluation of a mobile-based spam SMS filtering system</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/38" />
    <author>
      <name>Yadav, Kuldeep</name>
    </author>
    <author>
      <name>Malhotra, Anshu</name>
    </author>
    <author>
      <name>Kumaraguru, Ponnurangam</name>
    </author>
    <author>
      <name>Khurana, Rushil</name>
    </author>
    <author>
      <name>Singh, Dipesh Kumar</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/38</id>
    <updated>2017-07-24T17:14:42Z</updated>
    <published>2012-07-25T07:56:08Z</published>
    <summary type="text">Title: Take control over your SMSes : a real-world evaluation of a mobile-based spam SMS filtering system
Authors: Yadav, Kuldeep; Malhotra, Anshu; Kumaraguru, Ponnurangam; Khurana, Rushil; Singh, Dipesh Kumar
Abstract: In developing countries, Short Messaging Service (SMS) is&#xD;
one of the most widely used and cheapest modes of commu-&#xD;
nication. Hence, this medium is often exploited by advertis-&#xD;
ing companies to reach masses. The unsolicited (spam) SM-&#xD;
Ses consume user attention and have become a reason of an-&#xD;
noyance for most of the mobile phone users, as not many of&#xD;
them use the information from these SMSes. We conducted&#xD;
a three phase study to understand the scale of SMS spam&#xD;
problem and to propose technological measures to curb it.&#xD;
First, we conducted a survey among 458 participants in In-&#xD;
dia to understand general perceptions about spam SMSes,&#xD;
user preferences and requirements. Ninety seven percent of&#xD;
the survey participants admitted that they are quite annoyed&#xD;
with the burst of spam SMSes and lack of appropriate tech-&#xD;
nological or regulatory solutions.&#xD;
&#xD;
Next, we designed and implemented a mobile based appli-&#xD;
cation SMSAssassin, which can ﬁlter spam SMSes using&#xD;
content based machine learning techniques and user gener-&#xD;
ated customized rules. And last, we conducted a user study&#xD;
of this application with twenty three participants who used&#xD;
the application in real world for a month. Results show that&#xD;
a mobile based solution can effectively ﬁlter spam SMSes&#xD;
and the application can be usable too.</summary>
    <dc:date>2012-07-25T07:56:08Z</dc:date>
  </entry>
  <entry>
    <title>Securing the uncharted territory : transaction receipts in branchless banking</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/37" />
    <author>
      <name>Panjwani, Saurabh</name>
    </author>
    <author>
      <name>Ghosh, Mohona</name>
    </author>
    <author>
      <name>Kumaraguru, Ponnurangam</name>
    </author>
    <author>
      <name>Singh, Soumya Vardhan</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/37</id>
    <updated>2017-07-24T17:14:19Z</updated>
    <published>2012-07-25T07:47:24Z</published>
    <summary type="text">Title: Securing the uncharted territory : transaction receipts in branchless banking
Authors: Panjwani, Saurabh; Ghosh, Mohona; Kumaraguru, Ponnurangam; Singh, Soumya Vardhan
Abstract: Mobile-based branchless banking has become a key mech-&#xD;
anism for enabling financial inclusion in the developing re-&#xD;
gions of the world. A fundamental requirement of all branch-&#xD;
less banking systems is a mechanism to provide reliable ev-&#xD;
idence to users about the occurrence of transactions, which&#xD;
is implemented in the form of receipts delivered after each&#xD;
transaction. Existing receipt delivery mechanisms, however,&#xD;
provide poor security guarantees to users, which has led to&#xD;
multiple exploits and financial losses recently. In this paper,&#xD;
we present results from two studies conducted with users of a&#xD;
leading branchless banking service in India. Our first study&#xD;
explores current practice with respect to transaction receipts&#xD;
through interviews conducted with 67 users and 87 trans-&#xD;
action observations. The study reveals a desire for robust&#xD;
receipt delivery systems amongst users as well as a preva-&#xD;
lence of insecure practices, which makes users susceptible to&#xD;
fraud. The second study tests usability of receipt verification&#xD;
protocols with 30 users and finds that despite their limited&#xD;
education, users are able to distinguish between secure and&#xD;
insecure interfaces for receipt verification and 37% of them&#xD;
state a strong preference for the secure interface even though&#xD;
it is evidently less convenient.</summary>
    <dc:date>2012-07-25T07:47:24Z</dc:date>
  </entry>
  <entry>
    <title>Incremental subclass discriminant analysis : a case study in face recognition</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/32" />
    <author>
      <name>Lamba, Hemank</name>
    </author>
    <author>
      <name>Dhamecha, Tejas I</name>
    </author>
    <author>
      <name>Vatsa, Mayank</name>
    </author>
    <author>
      <name>Singh, Richa</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/32</id>
    <updated>2017-07-24T17:14:50Z</updated>
    <published>2012-03-26T11:07:57Z</published>
    <summary type="text">Title: Incremental subclass discriminant analysis : a case study in face recognition
Authors: Lamba, Hemank; Dhamecha, Tejas I; Vatsa, Mayank; Singh, Richa
Abstract: Subclass discriminant analysis is found to be applicable under various scenarios. However, it is computationally very expensive&#xD;
to update the between-class and within-class scatter matrices. This research presents an incremental subclass discriminant analysis&#xD;
algorithm to update SDA in incremental manner with increasing number of samples per class. The effectiveness of the proposed&#xD;
algorithm is demonstrated using face recognition in terms of identification accuracy and training time. Experiments are performed&#xD;
on the AR face database and compared with other subspace based incremental and batch learning algorithms. The results illustrate&#xD;
that Incremental SDA yields significant reduction in time compared to SDA along with improving the accuracy compared to other&#xD;
incremental approaches.</summary>
    <dc:date>2012-03-26T11:07:57Z</dc:date>
  </entry>
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