A vulnerability model for wireless local area networks in an insecure wardriving setting

Kirongo, Amos Chege
URI: http://41.89.49.13:8080/xmlui/handle/123456789/698
Description:

A research project submitted in partial fulfillment of the requirements for the award of Master of Science in Data Communication in the Faculty of Computing and Information Management at KCA University

Wireless local area networks (WLAN) enable access to computing resources for devices that are not physically connected to a network infrastructure. WLANs usually function in a restricted geographical location such as a workplace. They are effected as additions to current wired local area networks to improve operator movement. These networks require to be secured from vulnerabilities including eavesdropping which result from wardriving. The main goal is to understand how vulnerability of wireless networks in a wardriving setting can be mitigated through simulation of a vulnerability model using Artificial Neural Networks. It is with this understanding that nationally and internationally WLANs security is a priority with relation to data security. The Kenyan government in its vision focuses on the development of a National framework for Information and Cyber Security through a proactive approach to the country’s security needs to ensure security of the upcoming National Next Generation Broadband network and securing of the proposed National Cloud computing platform for use by both private and public sectors. It also focuses on securing the implementation of the National Open Data and strategic Data Programme. The government is further investing in public key infrastructure to secure the national networks. With this in mind the researcher embarked on a survey based on the Vulnerability of WLANs in Meru Town of Meru County in Kenya. The survey revealed that most of the users of WLANs that had installed the networks had not secured their networks appropriately, since most were open, while others used default SSIDs. Further vulnerability of AP devices with relation to manufacturer popularity was identified with associated encryption modes. This research developed a conceptual framework for Wireless Local Area Networks Security management strategies in a wardriving setting and tested it founded on experimental substantiation. The newfangled model that was proposed provided a simulated vulnerability model to define and represent WLAN Security, an ANN model to aid network administrators in scheming wireless network security policies, and specific suggestions for more exploration. The enunciation of WLANs security, which is an addition to wired Local Area Networks, pursues explain the convolution related to the establishment and conveyance of online data and facilities from the institutions to the terminus that’s the client; students, staff and stakeholders.

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About the Author: Amos Chege

I am currently a PhD. Computer Science student with a research interest in the area of Image Processing, machine learning, and data mining. My PhD. proposed work is based on development of Algorithms that will result in the creation of solutions for farmers faced with challenges on detection of a variety of plan stresses and remedying the challenges through Technology. In the area of Assistive Technologies, my research team and I have done research work in the area of Competence Network for e-Inclusion and Assistive Technologies. The research team from University of Applied Sciences Austria and Meru University of Science and Technology Kenya, managed to attract seed fund, and conducted a pilot study. The study was based in Meru County in Kenya where we were able to identify the need for Information Communications Technology (ICT) Assistive Devices for Special school Learners with Physical Disability. The gap identified will lead to design and roll-out of Innovative technologies that will enable learners in Special Schools access learning content electronically and be able to learn like other children. Findings of this study were presented during the 10th Decolonizing the Spirit Conference in University of Embu in July 2016. In the area of Open Government Data, together with my co-authors, we succeeded in proposing a model for integration of Open Government Data to Content Management Systems in Kenya. The research findings have been presented during the Nairobi Innovation Week Research Symposium at the University of Nairobi in March 2017. During the 11th Egerton University's International Conference and Innovation Week, held in March 2017, we were awarded the Best Paper Presentation in the category of Governance, Law and Security. We have proposed a model for adoption of Open Government Data in Kenya. In the area of Electronic Learning, we have done with my co-authors research in the areas of eLearning adoption and use in Institutions of Higher Learning and presented in the KEMU 2016 Annual Research Conference We have also done papers on Electronic waste management and disposal and presented in the International Conference on University - Industry Linkages held in Meru University of Science and Technology in October 2017. Currently ongoing research interests are in the area of Image Processing, Assistive technologies, Open Government Data, Enterprise Resource Planning adoption initiatives, Information Systems Risks and Security, and Remote Sensing in Turbidity Measurement in Water.

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