Climate change is a daily challenge that we are faced with, it has become a part of our lives and is altering how we live. Architecture plays a vital role in life and it is crucial for architecture to be able to adapt to the climate conditions that may arise. A large percentage of the population living near coastal cities are faced with dangers of sea level rise, flooding, and coastal storms. Architects must design for the people within these cities or else their lives will be lost. Designers understand the catastrophic we are currently facing and are finding innovative ways to protect our cities. From rebuilding the coastal lines to making cities to imitate being a sponge. These solutions all play an important role in the future generations, each design can not work independently from each other and must work cohesively in order to have a resilient city. This thesis explores the possibility of having a dense neighborhood adjacent to a city. This neighborhood is purely independent from the main city utilities so that if a major event did occur then no systems will be interrupted. Adaptable architecture is able to change over time and with the growth of population. The design goal is to offer an optimal living option for people, the neighborhood is designed to be able to grow with a family and offer aging in place options while continuously growing over time. The structure is able to grow by using a modular pontoon system that can be attached to another module to create an interconnected city. These modules are Biocrete structures that contain the systems and utilities for a building to function giving full flexibility of what can be constructed on top. Since the city is forever growing the vertical core acts as a home for a mobile crane to be attached and assist with the development of residential units or the larger urban-scape. This crane can also be positioned on a small mobile barge that floats around the city to serve any location at a given time. / Master of Architecture / Architecture must be adaptable in a climate changing environment otherwise there will be catastrophic failure in society. Coastal cities are faced with the most climate challenges with sea level rise, flooding, storm surge, hurricanes, tsunami's, etc. Due to these challenges it is vital to have architecture to be resilient and still remain functional after a storm. The main challenge that is explored is how can we overcome the losses that are caused by flooding in coastal cities. This exploration suggests the idea of floating urbanization that is completely independent from the city and is able to adapt with any sea level elevation. The initial response to flooding is how can we keep the water out when in reality water cannot be contained over a long period of time. Instead, the question should be how can we live with water? The solution is to literally live with it, to design a city that floats on it and is able to move with the sea level. This eliminates the worry about your home being flooded and offers another option of living. This city is a fully adaptable structure that grows with families and the population at the same time. Each residential unit offers modular components to allow for the unit to expand given the size of the family, these residential modules sit on top a floating modular pontoon that can then be attached to another pontoon to allow the city to grow horizontally. This idea is not foreign nor new, it has been a way of living for some people for many years from a new single family home in Denmark to a whole floating village in Peru. It is not a new concept but it will be a more frequent design choice as climate change becomes more prevalent.

How can architects design for coastal inundation caused by climate change, what are the methods and strategies currently being implemented as a response to coastal inundation, and how can these strategies influence the design approach for a self-sustaining community that can survive and thrive in a low-lying coastal area? Climate change is caused by an expenditure of planet-harming resources being improperly or inefficiently utilized and consumed. This can lead to a rise of global sea level and an increased severity of storm surges. Resilience is defined as the ability to overcome challenges and difficulties. Coastal resilience is the ability for a coastal community to independently withstand shocks caused by hazardous storms and coastal flooding, adapt to future occurrences, and rebuild when necessary. Incorporating resilient and adaptable design elements into architecture could help to create a more sustainable built environment that reacts more efficiently to challenges and difficulties that occur in the natural world. The intent of this thesis is to design a coastal community-living development that serves as a case study for how communities in low-lying areas can be elevated in order to sustain fluctuating coastal conditions. An ideal setting for the implementation of this thesis is Pleasure Beach Park, a low-lying barrier beach located on the coastline of Bridgeport, Connecticut. Through research and analysis of this location, this design responds to and includes essential programmatic elements deemed necessary for a community to exist in the area, as well as vital attributes that collectively form a resilient coastal community.

The essence of smart pervasive Cyber-Physical Environments (CPEs) is to enhance the dependability, security and efficiency of their encompassing systems and infrastructures and their services. In CPEs, interactive information resources are integrated and coordinated with physical resources to better serve human users. To bridge the interaction gap between users and the physical environment, a CPE is instrumented with a large number of small devices, called sensors, that are capable of sensing, computing and communicating. Sensors with heterogeneous capabilities should autonomously organize on-demand and interact to furnish real-time, high fidelity information serving a wide variety of user applications with dynamic and evolving requirements. CPEs with their associated networked sensors promise aware services for smart systems and infrastructures with the potential to improve the quality of numerous application domains, in particular mission-critical infrastructure domains. Examples include healthcare, environment protection, transportation, energy, homeland security, and national defense. To build smart CPEs, Networked Sensor Environments (NSEs) are needed to manage demand-driven sharing of large-scale federated heterogeneous resources among multiple applications and users. We informally define NSE as a tailorable, application agnostic, distributed platform with the purpose of managing a massive number of federated resources with heterogeneous computing, communication, and monitoring capabilities. We perceive the need to develop scalable, trustworthy, cost-effective NSEs. A NSE should be endowed with dynamic and adaptable computing and communication services capable of efficiently running diverse applications with evolving QoS requirements on top of federated distributed resources. NSEs should also enable the development of applications independent of the underlying system and device concerns. To our knowledge, a NSE with the aforementioned capabilities does not currently exist. The large scale of NSEs, the heterogeneous node capabilities, the highly dynamic topology, and the likelihood of being deployed in inhospitable environments pose formidable challenges for the construction of resilient shared NSE platforms. Additionally, nodes in NSE are often resource challenged and therefore trustworthy node cooperation is required to provide useful services. Furthermore, the failure of NSE nodes due to malicious or non-malicious conditions represents a major threat to the trustworthiness of NSEs. Applications should be able to survive failure of nodes and change their runtime structure while preserving their operational integrity. It is also worth noting that the decoupling of application programming concerns from system and device concerns has not received the appropriate attention in most existing wireless sensor network platforms. In this dissertation, we present a Biologically-inspired Secure Elastic Networked Sensor Environment (BioSENSE) that synergistically integrates: (1) a novel bio-inspired construction of adaptable system building components, (2) associative routing framework with extensible adaptable criteria-based addressing of resources, and (3) management of multi-dimensional software diversity and trust-based variant hot shuffling. The outcome is that an application using BioSENSE is able to allocate, at runtime, a dynamic taskforce, running over a federated resource pool that would satisfy its evolving mission requirements. BioSENSE perceives both applications and the NSE itself to be elastic, and allows them to grow or shrink based upon needs and conditions. BioSENSE adopts Cell-Oriented-Architecture (COA), a novel architecture that supports the development, deployment, execution, maintenance, and evolution of NSE software. COA employs mission-oriented application design and inline code distribution to enable adaptability, dynamic re-tasking, and re-programmability. The cell, the basic building block in COA, is the abstraction of a mission-oriented autonomously active resource. Generic cells are spontaneously created by the middleware, then participate in emerging tasks through a process called specialization. Once specialized, cells exhibit application specific behavior. Specialized cells have mission objectives that are being continuously sought, and sensors that are used to monitor performance parameters, mission objectives, and other phenomena of interest. Due to the inherent anonymous nature of sensor nodes, associative routing enables dynamic semantically-rich descriptive identification of NSE resources. As such, associative routing presents a clear departure from most current network addressing schemes. Associative routing combines resource discovery and path discovery into a single coherent role, leading to significant reduction in traffic load and communication latency without any loss of generality. We also propose Adaptive Multi-Criteria Routing (AMCR) protocol as a realization of associative routing for NSEs. AMCR exploits application-specific message semantics, represented as generic criteria, and adapts its operation according to observed traffic patterns. BioSENSE intrinsically exploits software diversity, runtime implementation shuffling, and fault recovery to achieve security and resilience required for mission-critical NSEs. BioSENSE makes NSE software a resilient moving target that : 1) confuses the attacker by non-determinism through shuffling of software component implementations; 2) improves the availability of NSE by providing means to gracefully recover from implementation flaws at runtime; and 3) enhances the software system by survival of the fittest through trust-based component selection in an online software component marketplace. In summary, BioSENSE touts the following advantages: (1) on-demand, online distribution and adaptive allocation of services and physical resources shared among multiple long-lived applications with dynamic missions and quality of service requirements, (2) structural, functional, and performance adaptation to dynamic network scales, contexts and topologies, (3) moving target defense of system software, and (4) autonomic failure recovery. / Ph. D.

Identity based cryptography was first proposed by Shamir in 1984. Rather than deriving a public key from private information, which would be the case in traditional public key encryption schemes, in identity based schemes a user's identity plays the role of the public key. This reduces the amount of computations required for authentication, and simplifies key-management. Efficient and strong implementations of identity based schemes are based around easily computable bilinear mappings of two points on an elliptic curve onto a multiplicative subgroup of a field, also called pairing. The idea of utilizing the identity of the user simplifies the public key infrastructure. However, since pairing computations are expensive for both area and timing, the proposed identity based cryptosystem are hard to implement. In order to be able to efficiently utilize the idea of identity based cryptography, there is a strong need for an efficient pairing implementations. Pairing computations could be realized in multiple fields. Since the main building block and the bottleneck of the algorithm is multiplication, we focused our research on building a fast and small arithmetic core that can work on multiple fields. This would allow a single piece of hardware to realize a wide spectrum of cryptographic algorithms, including pairings, with minimal amount of software coding. We present a novel unified core design which is extended to realize Montgomery multiplication in the fields GF(2^n), GF(3^m), and GF(p). Our unified design supports RSA and elliptic curve schemes, as well as identity based encryption which requires a pairing computation on an elliptic curve. The architecture is pipelined and is highly scalable. The unified core utilizes the redundant signed digit representation to reduce the critical path delay. While the carry-save representation used in classical unified architectures is only good for addition and multiplication operations, the redundant signed digit representation also facilitates efficient computation of comparison and subtraction operations besides addition and multiplication. Thus, there is no need for transformation between the redundant and non-redundant representations of field elements, which would be required in classical unified architectures to realize the subtraction and comparison operations. We also quantify the benefits of unified architectures in terms of area and critical path delay. We provide detailed implementation results. The metric shows that the new unified architecture provides an improvement over a hypothetical non-unified architecture of at least 24.88 % while the improvement over a classical unified architecture is at least 32.07 %. Until recently there has been no work covering the security of pairing based cryptographic hardware in the presence of side-channel attacks, despite their apparent suitability for identity-aware personal security devices, such as smart cards. We present a novel non-linear error coding framework which incorporates strong adversarial fault detection capabilities into identity based encryption schemes built using Tate pairing computations. The presented algorithms provide quantifiable resilience in a well defined strong attacker model. Given the emergence of fault attacks as a serious threat to pairing based cryptography, the proposed technique solves a key problem when incorporated into software and hardware implementations. In this dissertation, we also present an efficient accelerator for computing the Tate Pairing in characteristic 3, based on the Modified Duursma Lee algorithm.