A Rural Implementation of a 52 Node Mixed Wireless Mesh Network in Macha, Zambia

Backens, Jonathan; Mweemba, Gregory; Stam, Gertjan van

doi:10.1007/978-3-642-12701-4_4

Cited by 16 publications

(12 citation statements)

References 3 publications

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“…10. We emphasize that our mesh hardware is more powerful (in terms of processing and memory resources) than devices used in some existing real world deployments [2,3]. Although in this research we focus mainly on Netgear WNDR3700 router hardware, later in this section we present our experience and results with more sophisticated and expensive mesh hardware, e.g., Meshlium Xtreme which has a 500MHz CPU, 256MB RAM, 8/16/32GB disk memory and WiFi, Zigbee, and GPRS wireless interfaces.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

PRIDE: Practical Intrusion Detection in Resource Constrained Wireless Mesh Networks

Hassanzadeh

Stoleru

et al. 2013

Information and Communications Security

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Abstract. As interest in wireless mesh networks grows, security challenges, e.g., intrusion detection, become of paramount importance. Traditional solutions for intrusion detection assign full IDS responsibilities to a few selected nodes. Recent results, however, have shown that a mesh router cannot reliably perform full IDS functions because of limited resources (i.e., processing power and memory). Cooperative IDS solutions, targeting resource constrained wireless networks impose high communication overhead and detection latency. To address these challenges, we propose PRIDE (PRactical Intrusion DEtection in resource constrained wireless mesh networks), a non-cooperative real-time intrusion detection scheme that optimally distributes IDS functions to nodes along traffic paths, such that detection rate is maximized, while resource consumption is below a given threshold. We formulate the optimal IDS function distribution as an integer linear program and propose algorithms for solving it accurately and fast (i.e., practical). We evaluate the performance of our proposed solution in a real-world, department-wide, mesh network.

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Section: Motivation and Backgroundmentioning

confidence: 99%

PRIDE: Practical Intrusion Detection in Resource Constrained Wireless Mesh Networks

Hassanzadeh

Stoleru

et al. 2013

Information and Communications Security

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“…Nevertheless, we have fallen into one of the pitfalls mentioned in related work: the "inconsistent performance of lowcost hardware" [3]. When the TA gave us the location of the nodes, we realized that the network could be made much more robust by increasing the number of links, and making the existing ones stronger, if external antennae were added to the nodes.…”

Section: Robust Technologymentioning

confidence: 99%

“…Providing that the device complies with the technology one wants to use, in this case WiFi mesh, there are several factors to consider, including low cost [27], ease of use [3] and maintainability [5]. Furthermore, since it is difficult in developing countries like ours to find such items locally at low cost, we are forced to purchase items abroad and suffer the consequences of local transportation, where things can easily get damaged [20,12].…”

Section: Robust Technologymentioning

confidence: 99%

“…Furthermore, since it is difficult in developing countries like ours to find such items locally at low cost, we are forced to purchase items abroad and suffer the consequences of local transportation, where things can easily get damaged [20,12]. Once installed, devices can also suffer from harsh environments that may destroy them [3,20,12].…”

Section: Robust Technologymentioning

confidence: 99%

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Experiences, challenges and lessons from rolling out a rural WiFi mesh network

Rey-Moreno

Roro

Tucker

et al. 2013

Proceedings of the 3rd ACM Symposium on Computing for Development

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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.

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“…WMN can also serve as a backbone communication infrastructure among mobile or fixed clients, and hosts (e.g., local file servers). Recently, the number of WMN deployments has been increasing since they are suitable for many applications such as disaster response [1][2][3], environmental monitoring [4], rural IT services [5,6] and many others [7].…”

Section: Introductionmentioning

confidence: 99%

RAPID: Traffic-agnostic intrusion detection for resource-constrained wireless mesh networks

Hassanzadeh

Stoleru

Polychronakis

et al. 2014

Computers & Security

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Due to the recent increased interest in wireless mesh networks (WMN), their security challenges have become of paramount importance. An important security mechanism for WMN, intrusion detection, has received considerable attention from the research community. Recent results show that traditional monitoring mechanisms are not applicable to real-world WMN due to their constrained resources (memory and processing power), which result in high false negative rates since only few IDS functions can be activated on monitoring nodes. Cooperative solutions, on the other hand, have high communication overhead and detection delay when traffic is high. A practical traffic-aware IDS solution was recently proposed for resource-constrained WMN, however, traffic-awareness might not be feasible for some WMN applications. This paper proposes a traffic-agnostic IDS solution that uses a link-coverage approach to monitor both local and backbone WMN traffic. Using real-world experiments and extensive simulations we show our proposed IDS solutions outperform traffic-aware IDS solutions while requiring lower computation and communication overhead.

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A Rural Implementation of a 52 Node Mixed Wireless Mesh Network in Macha, Zambia

Cited by 16 publications

References 3 publications

PRIDE: Practical Intrusion Detection in Resource Constrained Wireless Mesh Networks

PRIDE: Practical Intrusion Detection in Resource Constrained Wireless Mesh Networks

Experiences, challenges and lessons from rolling out a rural WiFi mesh network

RAPID: Traffic-agnostic intrusion detection for resource-constrained wireless mesh networks

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