According to the IPCC (2007) fourth assessment report, small islands and coastal communities have a set of characteristics that makes them very vulnerable to climate change impacts, mainly sea-level rise and storm surges. Coastal hazards including inundation, salinisation of the water supply, and erosion threaten vital infrastructure that support coastal communities. Although Canada has the longest coastline in the world, little work has been done on impacts of climate change and adaptation to these impacts in the Canadian coastal zones. This research is part of an International Community-University Research Alliance (ICURA) C-Change, project to develop a multicriteria decision evaluation and support for the systems analysis of adaptation options for coastal communities toward adapting to environmental changes. This study estimates the vulnerability of coastal communities with respect to their environmental, economic, social, and cultural dimensions. It also applies a group version of the Analytical Hierarchy Process for identifying decisions that various stakeholders make on suggested adaptation strategies. This study develops a methodological framework that is applicable to various coastal and small island contexts. The application of the proposed framework is further discussed in a case study conducted on the communities of Charlottetown, Prince Edward Island (PEI), and Little Anse on Isle Madame, Nova Scotia. Specifically, the state of the Little Anse breakwater is analyzed and new adaptation options are presented and evaluated. This research has illustrated and applied a process of decision evaluation and support that explicitly engages multiple participants and critieria in complex problems situations involving environmental change in coastal communities.

Since the 2004 Indian Ocean tsunami devastated coastal areas of several countries in South East Asia, there has been renewed interest in disaster recovery operations. Although governments and aid organizations have increasingly focused on improving living conditions and reducing vulnerability to future disaster events during the recovery period, there has been limited understanding of what effective disaster recovery entails, and a lack of empirical assessments of longer-term recovery initiatives. Researchers, governments and aid organizations alike have increasingly identified the need for a systematic, independent, and replicable framework and approach for monitoring, evaluating and measuring the longer-term relief and recovery operations of major disaster events. Within this context, the research contends that a conceptualization of effective disaster recovery, referred to as ‘resilient disaster recovery’, should be built upon the holistic concepts of vulnerability, resilience and sustainable livelihoods. Using the resilient disaster recovery framework, the research aimed to develop an evaluative strategy to holistically and critically assess disaster recovery efforts. Using a case study of the 2006 Yogyakarta, Indonesia earthquake event, the research examined one long-term recovery effort in order to develop and test the usefulness and applicability of the resilient disaster recovery conceptualization and assessment framework. The research results further contributed to disaster recovery knowledge and academic literature through a refined conceptualization of resilient disaster recovery and further understanding of recovery as a process. The research used qualitative research approaches to examine the opinions and experiences of impacted individuals, households, and communities, as well as key government, academic and humanitarian stakeholders, in order to understand their perceptions of the long-term recovery process. Using the resilient disaster recovery approach, the research found that the recovery programming after the 2006 Yogyakarta earthquake contributed to reductions in visible manifestations of vulnerability, although the root causes of vulnerability were not addressed, and many villagers suffer from ongoing lack of access to assets and resources. While some aspects of resilience were improved, particularly through earthquake-resistant housing structures, resilience in other forms remained the same or decreased. Furthermore, livelihood initiatives did not appear to be successful due to a lack of a holistic approach that matched the skill and capital levels of impacted populations. Using the evidence from the 2006 Yogyakarta recovery effort, the research furthered knowledge and understanding of disaster recovery as a complex and highly dynamic process. The roles of a variety of actors and stakeholders were explored, particularly highlighting the role of civil society and the private sector in facilitating response and recovery. Furthermore, issues of conflict, the context and characteristics of place and scale, and the impact of disasters on income equality were explored. Through this research, an improved understanding of disaster resilient recovery and long-term recovery processes has been highlighted in order to facilitate improved and resilient recovery for future disaster events.

Web browsers are increasingly designed to be extensible to keep up with the Web's rapid pace of change. This extensibility is typically implemented using script-based extensions. Script extensions have access to sensitive browser APIs and content from untrusted web pages. Unfortunately, this powerful combination creates the threat of privilege escalation attacks that grant web page scripts the full privileges of script extensions and control over the entire browser process. This thesis describes the pitfalls of script-based extensibility based on our study of the Firefox Web browser, and is the first to offer a classification of script-based privilege escalation vulnerabilities. We propose a taint-based system to track the spread of untrusted data in the browser and to detect the characteristic signatures of privilege escalation attacks. We show that this approach is effective by testing our system against exploits in the Firefox bug database and finding that it detects the vast majority of attacks with no false alarms.

Communication networks are vulnerable to natural as well as man-made disasters. The geographical layout of the network influences the impact of these disasters. It is therefore, necessary to identify areas that could be most affected by a disaster and redesign those parts of the network so that the impact of a disaster has least effect on them. In this work, we assume that disasters which have a circular impact on the network. The work presents two new algorithms, namely the WHF-PG algorithm and the WHF-NPG algorithm, designed to solve the problem of finding the locations of disasters that would have the maximum disruptive effect on the communication infrastructure in terms of capacity.

Web browsers are increasingly designed to be extensible to keep up with the Web's rapid pace of change. This extensibility is typically implemented using script-based extensions. Script extensions have access to sensitive browser APIs and content from untrusted web pages. Unfortunately, this powerful combination creates the threat of privilege escalation attacks that grant web page scripts the full privileges of script extensions and control over the entire browser process. This thesis describes the pitfalls of script-based extensibility based on our study of the Firefox Web browser, and is the first to offer a classification of script-based privilege escalation vulnerabilities. We propose a taint-based system to track the spread of untrusted data in the browser and to detect the characteristic signatures of privilege escalation attacks. We show that this approach is effective by testing our system against exploits in the Firefox bug database and finding that it detects the vast majority of attacks with no false alarms.

According to the IPCC (2007) fourth assessment report, small islands and coastal communities have a set of characteristics that makes them very vulnerable to climate change impacts, mainly sea-level rise and storm surges. Coastal hazards including inundation, salinisation of the water supply, and erosion threaten vital infrastructure that support coastal communities. Although Canada has the longest coastline in the world, little work has been done on impacts of climate change and adaptation to these impacts in the Canadian coastal zones. This research is part of an International Community-University Research Alliance (ICURA) C-Change, project to develop a multicriteria decision evaluation and support for the systems analysis of adaptation options for coastal communities toward adapting to environmental changes. This study estimates the vulnerability of coastal communities with respect to their environmental, economic, social, and cultural dimensions. It also applies a group version of the Analytical Hierarchy Process for identifying decisions that various stakeholders make on suggested adaptation strategies. This study develops a methodological framework that is applicable to various coastal and small island contexts. The application of the proposed framework is further discussed in a case study conducted on the communities of Charlottetown, Prince Edward Island (PEI), and Little Anse on Isle Madame, Nova Scotia. Specifically, the state of the Little Anse breakwater is analyzed and new adaptation options are presented and evaluated. This research has illustrated and applied a process of decision evaluation and support that explicitly engages multiple participants and critieria in complex problems situations involving environmental change in coastal communities.

In its Fourth Assessment Report (AR4), the Intergovernmental Panel on Climate change estimated that global mean temperature will increase between 1.8 to 4.0°C by the end of the 21st century. An increase in global temperature by even a few degrees could have significant environmental and economic impacts, and mean that economic sectors that are better able to adapt to a changing climate will prosper, and those that are not may decline, relocate or disappear. Traditional resource sectors, which are highly reliant on environmental conditions, such as agriculture and forestry have been considering the implications of climate change for several decades. The tourism sector, which is also highly reliant on environmental factors, has only begun to consider the possible impacts of climate change over the past five to seven years. The integrated effects of a changing climate are anticipated to have far-reaching consequences for the rapidly growing global tourism economy and the communities that rely on the sector. In fact, the United Nations World Tourism Organization [UNWTO], United Nations Environment Program [UNEP] and World Meteorological Organization [WMO] identified climate change as the ‘greatest challenge to the sustainability of the global tourism industry in the 21st century’. The winter tourism sector has been repeatedly identified as vulnerable to climate change due mainly to the high susceptibility of mountain environments and the projected reduction in natural snow availability. The international ski industry has received the most detailed attention because of the sector’s high cultural and economic importance in many regions. The multi-billion dollar ski sector is highly vulnerable to changes in both regional and local climate and as a result has been projected to experience decreased natural snow reliability resulting in decreased season length, increased snowmaking requirements, increased operating costs, and decreased revenues in association with decreased visitation. The overarching goal of this dissertation is to examine climate change vulnerability (see glossary of terms, p. xi) (both- supply and demand-sides) for the entire US Northeast ski tourism sector in order to understand how the regional marketplace, as a whole, is likely to change in response to projected climate change. Previous research has been piecemeal in its approach (i.e. examining either supply or demand) and has largely neglected to examine climate change vulnerability of the ski sector from a systems-based perspective (i.e. examining both supply and demand for a single marketplace). Understanding how the US Northeast ski area marketplace may contract under climate change conditions including how ski area competitors may fair under future conditions, and how demand-side behavioural response is likely to occur, would allow ski area operators and managers to develop and implement appropriate adaptation strategies that can help reduce the negative impacts of change while taking advantage of any opportunities. The research revealed that there is likely to be a contraction of ski area supply, which favours those ski areas that are able to afford the increased cost of adapting to projected changes in climatic conditions. Ski areas that are situated at higher elevations or are located in the northern portion of the Northeast region, were found to be at an advantage due to lower temperatures and more precipitation falling as snow. Ski areas in Vermont, New Hampshire, Maine, and northeastern New York were projected to maintain longer season lengths, require less snowmaking and be more likely to be operational during the economically important Christmas-New Year holiday than ski areas in Connecticut or Massachusetts. The extent to which skiers intend to change their skiing behaviour in response to the projected impacts on ski area supply were not significantly greater than the extent to which they already change their skiing habits when current conditions are poor. This suggests that the future response to climate change is likely to be similar to that which has been observed during marginal snow conditions of the past, and that demand for skiing opportunities is not likely to reduce proportionally to the expected reduction in supply. In which case, the ski areas that are able to remain operational under projected climate change, may be able to take advantage of a possible geographic market shift (i.e. greater demand/market share for ski areas that remain). If there is a net transfer of demand throughout the remaining marketplace, it would mean that some communities would need to prepare for development pressures (e.g. water use for snowmaking, real estate development, slope expansion, congestion) associated with the concentration of ski tourism in fewer areas, while others would need to prepare for economic diversification and investment in alternative industries (i.e. adapted snow-based industry or non-snow-based industry).

In the past few years, natural disasters have been taking more lives and, especially more in the lesser-developed countries. There have been debates in the scientific world on what could be the best ways to mitigate disasters and reduce their impacts. In addition, there is a growing concern about finding the best way of restoring normal lives in the disaster affected communities. Traditional top-down approaches practiced by local governments, aid-agencies, and NGOs have now been replaced by community-based disaster management approaches. International aid-agencies such as the World Bank, UNDP, CIDA, USAID etc., emphasize on the involvement of the community for development purposes and long term sustainability. However, experiences from catastrophic disasters such as the Indian Ocean Tsunami of 2004 or the Hurricane Katrina of 2005 revealed post-disaster scenario to be chaotic and at times insensitive to local cultures and needs of victims. Literature review of past theories indicated the widening gap in disaster management approaches for establishing effective models to deal with recurrent mega-disasters. To address some of the gaps and issues related to disaster management strategies and approaches, an ongoing reconstruction process of the Indian Ocean Tsunami of 2004 was evaluated in the coastal regions of Tamil Nadu, India. Four underlying objectives were set. The first was to review the evolving disaster paradigm and related theories and concepts in literature and to build connections with planning models and community based planning. Gaps in the literature were identified and a ‘common framework’ to study both the domains of environmental planning and disaster management was designed. The ‘framework’ was designed using other interdisciplinary planning frameworks, and suffices the second objective of this dissertation. The third objective was to assess an ongoing reconstruction process using an appropriate methodology and suitable indicators. Environmental issues and disaster related problems have risen over the last decade with its effects worsening in the developing countries. Despite technological advancements, it seems almost impossible to make disaster related losses negligible. However, losses can be minimised with proper interventions and community preparedness. Case studies were carried out within disaster affected fishing communities in the coastal areas of Tamil Nadu, India.

According to the Global Climate Risk Index, Bangladesh with its densely populated coastal areas is considered as one of the most vulnerable countries affected by climate change in the world. In this context, the goal of this research is to assess the social vulnerability of the south-western coastal communities of the country,which is becoming more vulnerable, trying to understand the underlying social conditions of coastal people who are dependent on limited natural resources. To do so, vulnerability indicators of exposure, sensitivity and adaptive capacity are analyzed using quantitative data collected from different sample areas and focus group discussions (FGD) were held with the local women in two study areas. The results show that a community in the area have close dependency on natural resources such as water, mangrove forest and also has a limited set of livelihood options. Also many households, above the traditional fishing and agriculture, have no secondary occupation or alternative livelihood options. Therefore, unpredictable seasonal patterns on the sea and land would threat livelihood and mainly their food security. Considering that the coastal areas have potential opportunities for nation’s sustainable development, assessing on social vulnerability to climate change will help to create regulation and awareness programs in order to minimize vulnerabilities.

The study compiles and summarizes the existing knowledge about observed and projected impacts of climate change on agriculture in the Carpathian region, putting it in the context of rural development and giving suggestions for regional adaptation strategy.There are some differences in the social and age structures, stability of settlements and rates of unemployment within the Carpathian region. Adaptive capacity is higher in the Northern and Western Carpathians where there are more non-agricultural employment opportunities that could act as a safety net in case of loss of the harvest. Indicators show gradual decrease of well-being from North-West to South-East, which coincides with projected changes in the precipitation and severity of climate impacts. Southern part of the region (Romania and the Republic of Serbia) is identified as the most vulnerable.To achieve broader goal of sustainable agriculture in the face of climate change, the economic structure of rural areas should be reformed towards diversification of employment options, improvement of infrastructure and better access to services. Rich in biodiversity and beautiful landscapers, the Carpathian region offers significant opportunities in the field of eco- and rural tourism development. A regional adaptation strategy should focus on raising awareness to facilitate autonomous adaptation, climate proofing of the policies and creating favourable conditions for social entrepreneurship and green business.