Browsing by Author "Barasa, Samuel Wafula"

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Integrated machine learning system for curbing corruption
(KIBU, 2018-06-12) Barasa, Peter Wawire; Wechuli, Alice Nambiro; Barasa, Samuel Wafula
In this paper, the authors focus on using machine learning to fight corruption in governments. Corruption has been rampant in public and private sectors though prosecuting the cases in court has been wanting due to lack of clear evidence that convicts those involved. Since government operations have been digitized, machine learning algorithms can be used to scout corruption evidence which can be used to prosecute those involved in corruption. The research will adopt a positivism research philosophy and Inductive research approach. Desktop research design will be used. This paper seeks to come up with an integrated machine learning system that will connect to all the digitized government systems to curb corruption in governments.
Network performance metrics for transition from IPv4 TO IPv6 Networks
(KIBU, 2019-11) Barasa, Samuel Wafula
The internet platform has been facilitated by a huge number of interconnected network nodes hence the dire need for extra pool of addresses, quality of services, routing efficiency, performance and optimization. These developments have contributed to the implementation of IPv6 to replace and improve the depleted IPv4 address pool. Although IPv6 promises enhancements to IPv4 standards, it’s evident it is maturing albeit slowly despite its implementation on major networks and operating systems. However, IPv6 transition presents performance degradation challenges to the Internet Protocol at implementation. These include bandwidth, throughput, latency and jitter performance with regard to the data, video, and voice traffic. Several solutions have been proposed, including dual-stacking, tunneling, and translation transition strategies that are not yet mature. The study purpose to enhance performance for transition from IPv4 to IPv6 networks to solve the performance degradation problems caused by the premature transition strategies and expedite IPv6 deployment. This study was achieved by establishing the performance degradation associated with transition mechanisms in transiting from IPv4 to IPv6 networks, analyzing how the mapping of configuration attributes to transition mechanisms affect performance degradation from IPv4 to IPv6 networks, and developing a model for smooth transition from IPv4 to IPv6 networks. This was accomplished by experimental design. The target population was on ISPs networks operating in Kenya. Purposive sampling was used to select service providers running on both IPv4 and IPv6 networks. Data collection combined interviews and content analysis. Internal consistency reliability estimation was administered to network experts on one occasion to estimate reliability. Feel for data (descriptive) and goodness of data (inferential) analysis was employed by the study. There were three primary components designed to enhance performance in form of traffic recognition and prioritization application for making decisions in the IPv6 deployments: the IPv6 transition app, the IPv6 transition controller, and the type of service (ToS) database. This study is an enabler for ultra-high performance networks providing for more efficient interconnection between bandwidth intensive Web and information service providers and customers. This will improve government operations for streamlining services for more citizens, improve quality and delivery of services countrywide, increase economic activity and jobs for urban and rural areas and foster high speed universal Internet access.
The use of internet of things to combat the global challenge of terrorism
(KIBU, 2018-06-12) Barasa, Samuel Wafula; Wechuli, Alice Nambiro; Barasa, Peter Wawire
In the global arena, Internet of Things has transpired as a prominent technology which is capable of providing better methods of identification and monitoring. Today, more and more devices are connected to not only the Internet but also to each other, thus Internet of Things enables increased convenience, efficiency and energy conservation. Therefore, internet connectivity moving away from the traditional devices to wearables and household devices such as fridges and washing machines, the Internet of Things can easily be used for monitoring, location tracking, identification, surveillance and eventually gaining access to networks. Each device will have an IP address for communication on the network. The security experts can use the surveillance services to intercept signals of networked devices. The information from speeches, satellites, videos and news is monitored, collected and analyzed to facilitate intelligence services to close in on terrorists. This will be achieved by identifying the state of the art technologies using desktop research on a global perspective to combat terrorism.