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  <channel rdf:about="http://repository.iiitd.edu.in/xmlui/handle/123456789/94">
    <title>DSpace Collection:</title>
    <link>http://repository.iiitd.edu.in/xmlui/handle/123456789/94</link>
    <description />
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        <rdf:li rdf:resource="http://repository.iiitd.edu.in/xmlui/handle/123456789/111" />
        <rdf:li rdf:resource="http://repository.iiitd.edu.in/xmlui/handle/123456789/109" />
        <rdf:li rdf:resource="http://repository.iiitd.edu.in/xmlui/handle/123456789/99" />
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    <dc:date>2026-07-03T02:55:36Z</dc:date>
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  <item rdf:about="http://repository.iiitd.edu.in/xmlui/handle/123456789/111">
    <title>Android phone based appraisal of app behavior on cell networks</title>
    <link>http://repository.iiitd.edu.in/xmlui/handle/123456789/111</link>
    <description>Title: Android phone based appraisal of app behavior on cell networks
Authors: Gupta, Shaifali; Garg, Rashi; Jain, Nikita; Naik, Vinayak; Kaul, Sanjit Krishnan
Abstract: The rapid adoption of smartphones has engendered a large&#xD;
ecosystem of mobile data applications. In fact, a large part&#xD;
of mobile tra c is now data and not voice. Many of these&#xD;
applications, for example VoIP clients, stay active in the&#xD;
background. In the background, they may not communi-&#xD;
cate large amounts of data. However, their regular bursts&#xD;
of activity can lead to large signaling overheads, wastage of&#xD;
radio resources, and draining of a phone's battery. Signal-&#xD;
ing overheads can lead to service outage over a large geo-&#xD;
graphical region by overloading the radio network controller&#xD;
(gateway) of the 3G (LTE) network, which is expected to&#xD;
handle signaling from a large number of base stations.&#xD;
In this work we propose for Android smartphones an on-the-&#xD;
phone mechanism to detect background applications that&#xD;
due to bad design (given the network's settings) or their&#xD;
malicious nature (exploiting the network's settings) lead to&#xD;
above mentioned ine ciencies. Speci cally, we propose the&#xD;
metrics of average energy/byte and the average time-to-state-&#xD;
promotion (TSP) after the Radio Resource Control (RRC)&#xD;
enters the IDLE state. The metrics capture an application's&#xD;
e ciency, which is a function of the network's settings of&#xD;
RRC inactivity timeout values and an application's back-&#xD;
ground activity. The e cacy of these metrics is tested on&#xD;
commonly used Android applications. We also outline a&#xD;
fully functional ready-to-install tool that we developed and&#xD;
used for our studies.</description>
    <dc:date>2013-10-31T05:07:52Z</dc:date>
  </item>
  <item rdf:about="http://repository.iiitd.edu.in/xmlui/handle/123456789/109">
    <title>Characterizing mobility patterns of people in developing countries using their mobile phone data</title>
    <link>http://repository.iiitd.edu.in/xmlui/handle/123456789/109</link>
    <description>Title: Characterizing mobility patterns of people in developing countries using their mobile phone data
Authors: Yadav, Kuldeep; Kumar, Amit; Bharti, Aparna; Naik, Vinayak
Abstract: Location data collected from mobile phone users&#xD;
provide an ideal platform to generate human mobility patterns.&#xD;
These patterns give us insights into how people travel in their dayto-&#xD;
day lives.With availability of cellular data, either at large-scale&#xD;
but with low location accuracy or at small-scale but with high&#xD;
location accuracy, studying mobility patterns is now possible. An&#xD;
example of former dataset is CDRs (Call Detail Records) and&#xD;
that of latter is GSM/WiFi/GPS traces collected from mobile&#xD;
phones. So far the studies have been focused on data collected&#xD;
in developed countries.&#xD;
In this paper, we make a first attempt in finding and analyzing&#xD;
mobility patterns of people in developing countries using both the&#xD;
categories of data. We use publicly available CDR data and we&#xD;
collect our own data for capturing fine-grained location. Ours is&#xD;
the first dataset of its kind that is publicly available. We analyze&#xD;
this data to find movement as well as place visiting patterns,&#xD;
compare our findings with existing studies, and discuss their&#xD;
implications. For example, urban people in developing countries&#xD;
travel farther distances in their day to day life as compared&#xD;
to people living in non-urban areas. Also, distance travelled by&#xD;
urban people in developing countries is as much as six times&#xD;
lower compared to developed countries.</description>
    <dc:date>2013-10-10T08:52:47Z</dc:date>
  </item>
  <item rdf:about="http://repository.iiitd.edu.in/xmlui/handle/123456789/99">
    <title>Biclique cryptanalysis of full round AES with reduced data complexity</title>
    <link>http://repository.iiitd.edu.in/xmlui/handle/123456789/99</link>
    <description>Title: Biclique cryptanalysis of full round AES with reduced data complexity
Authors: Chang, Donghoon; Ghosh, Mohona; Sanadhya, Somitra Kumar
Abstract: Biclique cryptanalysis was proposed by Bogdanov et al. in Asiacrypt 2011 as a new tool&#xD;
for cryptanalysis of block ciphers. A major hurdle in carrying out biclique cryptanalysis is that it has&#xD;
a very high query complexity (of the order of 288 for AES-128, 280 for AES-192 and 240 for AES-256).&#xD;
This naturally puts a big question mark over the practical feasibility of implementing biclique attack in&#xD;
real world. In this work, we re-evaluate the security of full round AES against biclique cryptanalysis. We&#xD;
describe an alternate biclique construction with signi cantly reduced query complexity (of the order of 224&#xD;
for AES-128, 232 for AES-192 and 28 for AES-256) at the expense of a slightly increased computational&#xD;
cost. In our approach, we use independent biclique technique to launch a chosen ciphertext attack against&#xD;
AES.</description>
    <dc:date>2013-05-31T05:49:40Z</dc:date>
  </item>
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