A common method of connecting to the internet is a wireless network. These networks can be monitored to discover the area of their coverage, but commercial receivers don't always provide the most accurate results. A software-defined radio was programmed to sniff wireless signals and tested against a commercial receiver and the results were compared. The results suggest that the software-defined radio performs at least as well as the commercial receiver in distance measurements and significantly better in samples taken per minute. It was determined that the software-defined radio is a viable replacement for a commercial receiver in 3D heat mapping.

The unprecedented growth of the Internet has brought about such an enormous impact on our daily life that it is regarded as indispensable in modern era. At the same time, the underlying Internet architecture is still underpinned by principles designed several decades ago. Although IP networking has been proven very successful, it has been considered as the cause to network ossification creating barriers to entry for new network innovations. To support new demands and requirements of the current and the future Internet, solutions for new and improved Internet architectures should be sought. Software-defined networking (SDN), a new modularized network architecture that separates the control plane from the data plane, has emerged as a promising candidate for the future Internet. SDN can be described as flow-based networking, which provides finer granularity while maintaining backward compatibility with traditional IP networking. In this work, our goal is to investigate how to incorporate flow-based networking into open router platforms in an SDN context. We investigate performance and reliability aspects related to SDN data plane operation in software on open source PC-based routers. Our research methodology is based on design, implementation, and experimental evaluation. The experimental platform consists of PC-based routers running open source software in combination with commodity-off-the-shelf (COTS) hardware components. When it comes to performance aspects, we demonstrate that by offloading the lookup from a CPU to a network interface card, the overall performance is improved significantly. For enhanced reliability, we investigate bidirectional forwarding detection (BFD) as a component to realize redundancy with fast failover. We demonstrate that BFD becomes unreliable under high traffic load and propose a solution to this problem by allocating dedicated system resources for BFD control messages. In line with this solution, we extend our architecture for next-generation PC-based routers with OpenFlow support by devising a strategy to efficiently map packet forwarding and application processing tasks onto the multi-core architecture on the PC-based router. This extension would make it possible to integrate BFD effectively into the router platform. Our work demonstrates the potentials of open router platforms for SDN. Our prototypes offer not only high performance with good reliability but also flexibility to adopt new software extensions. Such platforms will play a vital role in advancing towards the future Internet. / <p>QC 20140416</p>

Software-Defined Networking (SDN) is a technology that is increasing in popularity. However, with increased prevalence comes increased opportunity to exploit vulnerabilities that exist within the technology. In this thesis, several attack vectors that can be used to attack SDN controllers were identified through a literature review. Among these vectors there is one that is concerned with the vulnerabilities present on the host of the SDN controller. One promising method that could be used to mitigate this attack vector is to deploy the SDN controller on a microkernel. The microkernel chosen in this thesis is the formally verified microkernel seL4®. This thesis investigate the possible ways of deploying an SDN controller on seL4. A deployment of an SDN controller is also performed in this thesis in order to assess the difficulties and possible performance tradeoffs present in adapting an SDN controller for seL4. The deployment of the SDN controller uses seL4’s virtualization capabilities and leaves the majority of the controller running in a virtual machine on seL4. A small part of the controller is moved to a separate and isolated component in order to showcase how the isolation capabilities of seL4 can be utilized. The performances of the unmodified and the modified controller are then compared. A significant increase in execution time when communicating between the VM and the separate component was discovered. However, such increases may also be attributed to dynamic binary translation used when simulating seL4 using QEMU. Thus, properly quantifying these overheads would require a different setup, either without simulation or with hardware-assisted virtualization.

Indiana University-Purdue University Indianapolis (IUPUI) / This thesis contains four interrelated research areas. Before presenting the four research areas, this thesis presents literature review on Software-Defined Networking (SDN), a network architecture that allows network operator to manage the network using high level abstractions. This thesis presents taxonomy for classifying SDN research. In research first area, this thesis presents Video over Software-Defined Networking (VSDN), a network architecture that selects feasible paths using the network-wide view. This thesis describes the VSDN protocol which is used for requesting service from the network. This thesis presents the results of implementing VSDN prototype and evaluates behavior of VSDN. Requesting service from the network requires developer to provide three input parameters to application programmable interface. The message complexity of VSDN is linear. In research second area, this thesis presents Explicit Routing in Software-Defined Networking (ERSDN), a routing scheme that selects transit routers at the edge of network. This thesis presents the design and implementation of ERSDN. This thesis evaluates the effect of ERSDN on the scalability of controller by measuring the control plane network events-packets. ERSDN reduces the network events in the control plane by 430%. In research third area, this thesis presents Reliable Video over Software-Defined Networking (RVSDN) which builds upon previous work of Video over Software-Defined Networking (VSDN) to address the issue of finding most reliable path. This thesis presents the design and implementation of RVSDN. This thesis presents the experience of integrating RVSDN into ns-3, a network simulator which research community uses to simulate and model computer networks. This thesis presents RVSDN results and analyzes the results. RVSDN services 31 times more requests than VSDN and Multiprotocol Label Switching (MPLS) explicit routing when the reliability constraint is 0.995 or greater. In research fourth area, this thesis presents Multi-Domain Video over Software-Defined Networking (MDVSDN), a network architecture that selects end-to-end network path or path for real-time interactive video applications across independent network domains. This thesis describes the architectural elements of MDVSDN. This thesis presents the results of implementing a prototype of MDVSDN and evaluates the behavior of MDVSDN. The message complexity of MDVSDN is linear. The contribution of this thesis lays the foundation for developing a network architecture that improves the performance of real-time interactive video applications by selecting feasible end-to-end multi-domain path among multiple paths using bandwidth, delay, jitter, and reliability.

Indiana University-Purdue University Indianapolis (IUPUI) / With the ever increasing connectivity of and dependency on modern computing systems, our civilization is becoming ever more susceptible to cyberattack. To combat this, identifying and disrupting malicious traffic without human intervention becomes essential to protecting our most important systems. To accomplish this, three main tasks for an effective intrusion detection system have been identified: monitor network traffic, categorize and identify anomalous behavior in near real time, and take appropriate action against the identified threat. This system leverages distributed SDN architecture and the principles of Artificial Immune Systems and Self-Organizing Maps to build a network-based intrusion detection system capable of detecting and terminating DDoS attacks in progress.

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A research report submitted in partial fulfilment to the Degree of Master of Commerce (Information Systems) in the school of Economic and Business Sciences, University of the Witwatersrand, 2018 / Purpose: The aim in this research study was to explore the role and competencies of Data Scientists in South Africa as the role starts to emerge. Due to the newness of the role, jobs in this sphere are currently being filled by skilled professionals moving from other related areas. Knowledge and skills for Data Scientists were explored in order to examine the role of a Data Scientist and the competencies they should have. Design/methodology/approach: The studies that have been published on the role of a Data Scientist are limited as the field of Data Science is still new. Therefore the design of the research was exploratory and used qualitative methods. Data gathered for this research was analysed using thematic analysis. The study used respondents drawn from the banking and insurance industries as they are amongst the first to employ Data Scientists in the real sense of the term in South Africa. Six Data Scientists were interviewed. Originality/value: Research that focuses on the role of Data Scientists especially in South Africa is limited as most of the research has taken place in developed countries. There is also limited research on the role of a Data Scientist within the banking and insurance industry. This study contributes to practitioner and research knowledge by exploring the emerging role of a Data Scientist in the South African context. Practical implications: This research improves our understanding of the knowledge and skills Data Scientists should have within the banking and insurance industry. This research adds insight by highlighting the role that Data Scientists are currently undertaking by providing information on the specific skills that they report as required. This research can help in the shaping of education and developing the required skills for individuals who intend to pursue the career path of a Data Scientist as well as help managers hire the right people for the position of a Data Scientist. / TL2019

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