<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://hdl.handle.net/10204/913" />
  <subtitle />
  <id>http://hdl.handle.net/10204/913</id>
  <updated>2013-05-20T00:56:23Z</updated>
  <dc:date>2013-05-20T00:56:23Z</dc:date>
  <entry>
    <title>Experiences, challenges and lessons from rolling out a rural WiFi mesh network</title>
    <link rel="alternate" href="http://hdl.handle.net/10204/6728" />
    <author>
      <name>Rey-Moreno, C</name>
    </author>
    <author>
      <name>Roro, Z</name>
    </author>
    <author>
      <name>Tucker, WD</name>
    </author>
    <author>
      <name>Jay Siya, MJ</name>
    </author>
    <author>
      <name>Bidwell, NJ</name>
    </author>
    <author>
      <name>Simo-Reigadas, J</name>
    </author>
    <id>http://hdl.handle.net/10204/6728</id>
    <updated>2013-05-03T21:55:18Z</updated>
    <published>2013-01-01T00:00:00Z</published>
    <summary type="text">Title: Experiences, challenges and lessons from rolling out a rural WiFi mesh network
Authors: Rey-Moreno, C; Roro, Z; Tucker, WD; Jay Siya, MJ; Bidwell, NJ; Simo-Reigadas, J
Abstract: The computing for development community knows that technology interventions involve consideration of social, technical and environmental factors. Research into WiFi solutions has fallen off as ubiquitous mobile solutions penetrate even the deepest rural communities worldwide. This paper argues that the latest wave of WiFi mesh networks offers benefits that traditional top-down WiFi and mobile networks do not. In addition, we propose ethnographic and participatory methods to aid the effective rollout of mesh inverse infrastructure with and for a given community. This paper describes and then analyzes a mesh for voice rollout within a situated context. We explain how to conduct informed community co-design and how to factor in local socio-political concerns that can impact on the design, rollout and subsequent maintenance of community-based wireless mesh networks. While we have not yet analyzed baseline and initial usage data, we do have new lessons to offer.
Description: Proceedings of the 3rd ACM Symposium on Computing for Development, Bangalore, India, 11-12 January 2013. Published in ACM Digital library</summary>
    <dc:date>2013-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Fingerprint pores extractor</title>
    <link rel="alternate" href="http://hdl.handle.net/10204/6693" />
    <author>
      <name>Mngenge, NA</name>
    </author>
    <author>
      <name>Nelufule, NN</name>
    </author>
    <author>
      <name>Nelwamondo, FV</name>
    </author>
    <author>
      <name>Msimang, M</name>
    </author>
    <id>http://hdl.handle.net/10204/6693</id>
    <updated>2013-04-18T21:55:14Z</updated>
    <published>2012-11-01T00:00:00Z</published>
    <summary type="text">Title: Fingerprint pores extractor
Authors: Mngenge, NA; Nelufule, NN; Nelwamondo, FV; Msimang, M
Abstract: Automatic Fingerprint Recognition Systems (AFRSs) rely on minutiae position and orientation within the fingerprint image for matching. Minutiae information is highly accurate provided that the fingerprint image matched is of high quality. However, this is not always the case because of diseases and hash working conditions that affect fingerprints. In order to maintain high level of security independent of varying fingerprint image quality research suggests the use of other fingerprint features to compliment minutiae. These are things like ridge contours, sweat pores, dots, and incipient ridges. Sweat pores have been proven as one of the most distinctive among these feature. Thus in order to improve accuracy of AFRSs pores can be fused with minutiae or used alone. Sweat pores have been less utilized in the past due to constraints imposed by fingerprint scanning devices and resolution standards. Recently, progress has been made on both scanning devices and resolution standards to support the use of pores in AFRSs. However, very few techniques exist for extracting, matching and fusing them with minutiae. Matching and fusion can only be possible if pores are available. Some techniques have been proposed to reliable extract pores. However, existing techniques can only work on one resolution i.e. an algorithm proposed and tested on 500dpi cannot work on 1000dpi without minor modifications because pores size change if resolution changes. In addition, existing pore extraction techniques are computationally expensive. In this paper an algorithm to extract feature level 3 (pores) is proposed. The algorithm uses Laplacian of Gaussian (LoG) in Fourier domain in order to reduce computation. The performance of the proposed algorithm is tested on two distinct databases with different resolutions in order to validate its accuracy. The accuracy of the proposed algorithm is further measured using false detection rate (FDR) and true detection rate (TDR). Results show that FDR ranges from 10-35% while TDR ranges from 65-90%.
Description: 2012 National Conference on Computing and Communication Systems, Durgapur, West Bengal, India, 21- 22 November 2012. To be published in IEEE Xplore</summary>
    <dc:date>2012-11-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A forensic readiness model for Wireless Local Area Networks</title>
    <link rel="alternate" href="http://hdl.handle.net/10204/6654" />
    <author>
      <name>Ngobeni, S</name>
    </author>
    <author>
      <name>Venter, H</name>
    </author>
    <author>
      <name>Burke, I</name>
    </author>
    <id>http://hdl.handle.net/10204/6654</id>
    <updated>2013-04-11T21:55:17Z</updated>
    <published>2010-01-01T00:00:00Z</published>
    <summary type="text">Title: A forensic readiness model for Wireless Local Area Networks
Authors: Ngobeni, S; Venter, H; Burke, I
Abstract: Over the past decade, wireless mobile communications technology based on IEEE 802.11 wireless local area networks (WLANs) has been adopted worldwide on a massive scale. However, as the number of wireless users has soared, so has the possibility of cyber crime, where criminals deliberately and actively break into WLANs with the intent to cause harm or access sensitive information. WLAN digital forensics is seen not only as a response to cyber crime in wireless environments, but also as a means to stem the increase of cyber crime in WLANs. The challenge in WLAN digital forensics is to intercept and preserve all the communications generated by the mobile devices and conduct a proper digital forensic investigation. This paper attempts to address this issue by proposing a wireless forensic readiness model designed to help monitor, log and preserve wireless network traffic for digital forensic investigations. A prototype implementation of the wireless forensic readiness model is presented as a proof of concept.
Description: Copyright: Springer, Berlin, Heidelberg</summary>
    <dc:date>2010-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Multi-level infrastructure of interconnected testbeds of large-scale wireless sensor networks (MI2T-WSN)</title>
    <link rel="alternate" href="http://hdl.handle.net/10204/6649" />
    <author>
      <name>Abu-Mahfouz, AM</name>
    </author>
    <author>
      <name>Steyn, LP</name>
    </author>
    <author>
      <name>Isaac, SJ</name>
    </author>
    <author>
      <name>Hancke, GP</name>
    </author>
    <id>http://hdl.handle.net/10204/6649</id>
    <updated>2013-04-11T21:55:16Z</updated>
    <published>2012-06-01T00:00:00Z</published>
    <summary type="text">Title: Multi-level infrastructure of interconnected testbeds of large-scale wireless sensor networks (MI2T-WSN)
Authors: Abu-Mahfouz, AM; Steyn, LP; Isaac, SJ; Hancke, GP
Abstract: Wireless sensor networks (WSNs) have been used in different types of applications and deployed within various environments. Simulation tools are essential for studying WSNs, especially for exploring large-scale networks. However, WSN testbeds are still required for further testing before the real implementation. In this paper we propose a multi-level infrastructure of interconnected testbeds of large- scale WSNs. This testbed consists of 1000 sensor motes that will be distributed into four different testbeds. The variations of these testbeds will allow for implementing and testing algorithms and protocols that could be used for various applications and within several types of environment.
Description: 2012 International Conference on Wireless Networks (ICWN'12) and 2012 World Congress in Computer Science Computer Engineering and Applied Computing, Monte Carlo Resort, Las Vegas, Nevada, USA, July 2012</summary>
    <dc:date>2012-06-01T00:00:00Z</dc:date>
  </entry>
</feed>

