The research highlights the importance of vulnerability assessment in evaluating the effectiveness of security mechanisms in computer and network systems. While vulnerability assessment is commonly practiced by companies and businesses, it is often underlooked in the context of home networks. The misconception that home networks are not lucrative targets for cyber criminals has been shattered with the emergence of the Covid-19 pandemic, which forced many individuals to work from home, adding to their normal daily personal home network device interactions, making their home networks more vulnerable to attacks. The situation iseven more challenging in developing countries like Cameroon, where there is a significant IT gap due to limited access to quality IT education and training opportunities. To address these issues, the research employed two main methods. Firstly, the systematic Review of Literature (SRL) method was used to investigate the types of systems used in home networks, common vulnerabilities, and attacks associated with them. Additionally, a step-by-step guide using opensource tools was developed to assist home users in evaluating the security of their networks. The second method utilized was the experimental method, with the use of semi-structured interviews for data collection. This demonstrated how selected tools such as Zenmap and Nessus, along with associated techniques, could be effectively used by home users to assess the security posture of their networks. This practical approach contributed to the development of a targeted vulnerability assessment methodology for home users. Furthermore, recommendations were provided to help home users mitigate identified vulnerabilities in their networks.

No description available.

No description available.

Despite advancements in glass facade systems and rigorous building codes requirements, glass façades often sustain damage or breaches during extreme wind events. This study aims to establish a framework that identifies a multitude of characteristics in common glass façade systems that may contribute to performance of a buildings with glass facades during natural wind disasters. Through a comprehensive analysis of damaged structures, common characteristics susceptible to damage after such events were identified. These characteristics served as a catalyst to explore other characteristic that may affect the performance of a structure's facade during extreme wind events. The identified characteristics were categorized into three groups: architectural components, structural components, and environmental. Proposed quantifiable methods aim to obtain qualitative measurements of existing glass facades. In the end, this thesis contributes to the broader goal of understanding the performance of glass facades during extreme wind events. / Master of Science / Despite advances in building design and construction standards, glass on buildings remain vulnerable to damage during severe windstorms. This study aims to develop a system that identifies key factors that contribute to a building's glass façade system during natural disasters like hurricanes and tornadoes. By analyzing data from damaged structures, common characteristics were identified that are prone to damage during extreme wind events. These findings have led to explore other factors that may impact a facade's performance in such situations. These factors were categorized into three main groups: architectural features, structural elements, and environmental considerations. The proposed methods obtain a numeral value that is measured from existing structures. Ultimately, this research aims to improve the understanding of glass facades from challenges posed by severe weather events.

Multi-cloud applications are becoming a universal way for organizations to build and deploy systems. Multi-cloud systems are deployed across several different service providers, whether this is due to company mergers, budget concerns, or services provided with each provider. With the growing concerns of potential cyber attacks, security of multi-cloud is an important subject, especially within the communications between systems through Application Programming Interfaces (APIs). This thesis presents an in depth analysis of multi-cloud, looking at APIs and security, creates a mock architecture for a multi-cloud system, and executes a cyber attack on this architecture to demonstrate the catastrophic effects that could come of these systems if left unprotected. Finally, some solutions for security are discussed as well as the potential plan for more testing of cyber attacks in this realm

Approved for public release, distribution is unlimited / The purpose of this study was to determine whether Naval Medicine's current Information Assurance Policy and resultant efforts properly address federal requirements or current threats confronting Naval Medicine information technology professionals. The primary research was conducted with a survey instrument detailing thirty questions with various response categories. The findings of the survey questionnaire revealed the existing numbers of previously compromised systems were directly related to the frequency of vulnerability scanning and remediation practices in the current threat environment. This study will provide insight to anyone interested in the future assessment of Naval Medicine's information security posture. These findings have important implications for command personnel charged with the responsibility and accountability of Naval Medicine's networks and data systems, as well as other communities throughout the Navy. / Lieutenant, United States Navy

Turkey is located on a seismically active region. Heavy damage observed in school buildings during recent earthquakes, revealed that seismic performance of school buildings is considerably poor. Therefore, determination of seismic vulnerability of these buildings has gained significant attention. Capacity curves that reflect properties of buildings are used to determine the seismic demand, thus, a decision can be made about the expected performance of the buildings. In addition, seismic vulnerability assessment procedures are also developed to assess the expected performance of buildings. In this study, it was intended to determine capacity related properties of school buildings located in Turkey. Additionally, applicability of some existing seismic vulnerability assessment procedures for school buildings is investigated. The procedures developed by Yakut [3], Hassan &amp / Sozen [8] and Ozcebe et al. [10] were employed. For this purpose, a set of school buildings that are believed to represent typical cases were employed. Nonlinear static analysis was carried out to determine the capacity related properties and approximate seismic demand. All buildings were assessed using the available preliminary seismic assessment procedures and the results were compared with detailed assessment procedures.

Climate change and anticipated impacts of sea level rise such as increased coastal erosion, inundation, flooding due to storm surges and salt water intrusion to freshwater resources will affect all the countries but mostly small island countries of oceans and low-lying lands along coastlines. Turkey having 8333 km of coastline including physically, ecologically and socio-economically important low-lying deltas should also prepare for the impacts of sea level rise as well as other impacts of climate change while participating in adaptation and mitigation efforts. Thus, a coastal vulnerability assessment of Turkey to sea level rise is needed both as a part of coastal zone management policies for sustainable development and as a guideline for resource allocation for preparation of adaptation options for upcoming problems due to sea level rise. In this study, a fuzzy coastal vulnerability assessment model (FCVI) of a region to sea level rise using physical and human activity indicators of impacts of sea level rise which use commonly available data are developed. The results enable decision makers to compare and rank different regions according to their vulnerabilities to sea level rise, to prioritize impacts of sea level rise on the region according to the vulnerability of the region to each impact and to determine the most vulnerable parameters for planning of adaptation measures to sea level rise. The sensitivity and uncertainty analysis performed for the results of the model (FCVI) is the first time application of a fuzzy uncertainty analysis model to coastal vulnerability assessments. These analysis ensure that the decision makers could be able to interpret the results of such vulnerability assessments based primarily on expert perceptions accurately enough. This in turn, would increase the confidence levels of adaptation measures and as well as accelerate implementation of adaptation of coastal areas to climate change. The developed coastal vulnerability assessment model is applied successfully to determine the vulnerability of G&ouml / ksu, G&ouml / cek and Amasra regions of Turkey that have different geological, ecological and socio-economical properties. The results of the site studies show that G&ouml / ksu has high vulnerability, G&ouml / cek has moderate vulnerability and Amasra shows low vulnerability to sea level rise. These results are in accordance with the general literature on impacts of sea level rise at different geomorphological coastal areas thus the applicability of fuzzy vulnerability assessment model (FCVI) to coastal areas is validated.

Disasters (e.g. earthquakes) and emergencies (e.g. fire) threaten the safety of occupants in the buildings and cause injuries and mortalities. These harmful effects are even more dangerous when secondary hazards (e.g. post-earthquake fires) emerge and it is commonly observed that the disasters/emergencies trigger secondary hazards.An effective indoor emergency guidance and navigation approach for occupants and first responders can decrease the number of injuries and mortalities during building emergencies by improving the evacuation process and response operations. For this reason, this research will propose a model-based guidance and vulnerability assessment approach for facilities that are under the threat of multi-hazard emergencies. The approach can be used to guide occupants from the facility affected by disasters/emergencies to safer zones and to direct the first responders by supplying them necessary building related information such as identified vulnerable locations in the indoor environments. An integrated utilization of Building Information Modeling tools, sensors, shortest path algorithms, and vulnerability assessment algorithms is proposed for the system in this research. The research steps of this thesis include (1) determination of requirements of an indoor navigation during emergency response and disaster management,(2) review, comparison, and evaluation of shortest path algorithms from an emergency response and disaster management point of view, (3) proposing a vulnerability assessment approach, and (4) proposing a real-time indoor emergency guidance and navigation system framework for buildings under the threat of multi-hazard emergencies. The findings of the research can be used in future studies on emergency response and disaster management domains.

The IPCC has identified small islands and coastal zones among regions most vulnerable to climate change. The geomorphological characteristics of Prince Edward Island (PEI), such as highly erodible sandstone bedrock and low elevation, contribute to a high degree of physical vulnerability to climate change. The province is highly susceptible to physical impacts of climate change including relative sea-level rise and increased rates of coastline retreat. In order to assess the physical coastal vulnerability of the ParCA study area of the North Shore, PEI, a model employing Geographic Information Systems (GIS), multi-criteria evaluation (MCE), and time step analysis is formulated. The physical vulnerability of the North Shore for the year 2010 was quantified in terms of wind-wave exposure condition, morphological resiliency, and permanent and episodic flood risk. These results are employed as model inputs to predict the shoreline for the subsequent time steps (2050, 2100), which are again analyzed to estimate future physical coastal vulnerability. Such an approach allows for updated predictions in intent to improve accuracy when compared to linear extrapolation. Finally, areas of highest priority for adaptation measures are quantified for each time step. This physical vulnerability analysis together with community-based and socioeconomic coastal vulnerability analyses will portray the comprehensive vulnerability of the North Shore to current and future effects of climate change.