Synthetic and mechanistic aspects of the reactions of α-diazosulfoxides

The research described in this thesis focuses, principally, on synthesis of stable α-diazosulfoxides and investigation of their reactivity under various reaction conditions (transition-metal catalysed, photochemical, thermal and microwave) with a particular emphasis on the reactive intermediates and mechanistic aspects of the reaction pathways involved. In agreement with previous studies carried out on these compounds, the key reaction pathway of α-diazosulfoxides was found to be hetero-Wolff rearrangement to give α-oxosulfine intermediates. However, a competing reaction pathway involving oxygen migration from sulfur to oxygen was also observed. Critically, isomerisation of α-oxosulfine stereoisomers was observed directly by 1H NMR spectroscopy in this work and this observation accounts for the stereochemical outcomes of the various cycloaddition reactions, whether carried out with in situ trapping or with preformed solutions of sulfines. Furthermore, matrix isolation experiments have shown that electrocyclisation of α-oxosulfines to oxathiiranes takes place and this verifies the proposed mechanisms for enol and disulfide formation. The introductory chapter includes a brief literature review of the synthesis and reactivity of α-diazosulfoxides prior to the commencement of research in this field by the Maguire group. The Wolff rearrangement is also discussed and the characteristic reactions of a number of reactive intermediates (sulfines, sulfenes and oxathiiranes) are outlined. The use of microwave-assisted organic synthesis is also examined, specifically, in the context of α-diazocarbonyl compounds as substrates. The second chapter describes the synthesis of stable monocyclic and bicyclic lactone derivatives of α-diazosulfoxides from sulfide precursors according to established experimental procedures. Approaches to precursors of ketone and sulfimide derivatives of α-diazosulfoxides are also described. The third chapter examines the reactivity of α-diazosulfoxides under thermal, microwave, rhodium(II)-catalysed and photochemical conditions. Comparison of the results obtained under thermal and microwave conditions indicates that there was no evidence for any effect, other than thermal, induced by microwave irradiation. The results of catalyst studies involving several rhodium(II) carboxylate and rhodium(II) carboxamidate catalysts are outlined. Under photochemical conditions, sulfur extrusion is a significant reaction pathway while under thermal or transition metal catalysed conditions, oxygen extrusion is observed. One of the most important observations in this work was the direct spectroscopic observation (by 1H NMR) of interconversion of the E and Z-oxosulfines. Trapping of the α-oxosulfine intermediates as cycloadducts by reaction with 2,3-dimethyl-1,3-butadiene proved useful both synthetically and mechanistically. As the stereochemistry of the α-oxosulfine is retained in the cycloadducts, this provided an ideal method for characterisation of this key feature. In the case of one α-oxosulfine, a novel [2+2] cycloaddition was observed. Preliminary experiments to investigate the reactivity of an α-diazosulfone under rhodium(II) catalysis and microwave irradiation are also described. The fourth chapter describes matrix isolation experiments which were carried out in Rühr Universität, Bochum in collaboration with Prof. Wolfram Sander. These experiments provide direct spectroscopic evidence of an α-oxosulfine intermediate formed by hetero-Wolff rearrangement of an α-diazosulfoxide and subsequent cyclisation of the sulfine to an oxathiirane was also observed. Furthermore, it was possible to identify which stereoisomer of the α-oxosulfine was present in the matrix. A preliminary laser flash photolysis experiment is also discussed. The experimental details, including all spectral and analytical data, are reported at the end of each chapter. The structural interpretation of 1H NMR spectra of the cycloadducts, described in Chapter 3, is discussed in Appendix I.

Energy harvesting system design and optimization for wireless sensor networks

Wireless sensor networks (WSN) are becoming widely adopted for many applications including complicated tasks like building energy management. However, one major concern for WSN technologies is the short lifetime and high maintenance cost due to the limited battery energy. One of the solutions is to scavenge ambient energy, which is then rectified to power the WSN. The objective of this thesis was to investigate the feasibility of an ultra-low energy consumption power management system suitable for harvesting sub-mW photovoltaic and thermoelectric energy to power WSNs. To achieve this goal, energy harvesting system architectures have been analyzed. Detailed analysis of energy storage units (ESU) have led to an innovative ESU solution for the target applications. Battery-less, long-lifetime ESU and its associated power management circuitry, including fast-charge circuit, self-start circuit, output voltage regulation circuit and hybrid ESU, using a combination of super-capacitor and thin film battery, were developed to achieve continuous operation of energy harvester. Low start-up voltage DC/DC converters have been developed for 1mW level thermoelectric energy harvesting. The novel method of altering thermoelectric generator (TEG) configuration in order to match impedance has been verified in this work. Novel maximum power point tracking (MPPT) circuits, exploring the fractional open circuit voltage method, were particularly developed to suit the sub-1mW photovoltaic energy harvesting applications. The MPPT energy model has been developed and verified against both SPICE simulation and implemented prototypes. Both indoor light and thermoelectric energy harvesting methods proposed in this thesis have been implemented into prototype devices. The improved indoor light energy harvester prototype demonstrates 81% MPPT conversion efficiency with 0.5mW input power. This important improvement makes light energy harvesting from small energy sources (i.e. credit card size solar panel in 500lux indoor lighting conditions) a feasible approach. The 50mm × 54mm thermoelectric energy harvester prototype generates 0.95mW when placed on a 60oC heat source with 28% conversion efficiency. Both prototypes can be used to continuously power WSN for building energy management applications in typical office building environment. In addition to the hardware development, a comprehensive system energy model has been developed. This system energy model not only can be used to predict the available and consumed energy based on real-world ambient conditions, but also can be employed to optimize the system design and configuration. This energy model has been verified by indoor photovoltaic energy harvesting system prototypes in long-term deployed experiments.

Profiling side-channel attacks on cryptographic algorithms

Traditionally, attacks on cryptographic algorithms looked for mathematical weaknesses in the underlying structure of a cipher. Side-channel attacks, however, look to extract secret key information based on the leakage from the device on which the cipher is implemented, be it smart-card, microprocessor, dedicated hardware or personal computer. Attacks based on the power consumption, electromagnetic emanations and execution time have all been practically demonstrated on a range of devices to reveal partial secret-key information from which the full key can be reconstructed. The focus of this thesis is power analysis, more specifically a class of attacks known as profiling attacks. These attacks assume a potential attacker has access to, or can control, an identical device to that which is under attack, which allows him to profile the power consumption of operations or data flow during encryption. This assumes a stronger adversary than traditional non-profiling attacks such as differential or correlation power analysis, however the ability to model a device allows templates to be used post-profiling to extract key information from many different target devices using the power consumption of very few encryptions. This allows an adversary to overcome protocols intended to prevent secret key recovery by restricting the number of available traces. In this thesis a detailed investigation of template attacks is conducted, along with how the selection of various attack parameters practically affect the efficiency of the secret key recovery, as well as examining the underlying assumption of profiling attacks in that the power consumption of one device can be used to extract secret keys from another. Trace only attacks, where the corresponding plaintext or ciphertext data is unavailable, are then investigated against both symmetric and asymmetric algorithms with the goal of key recovery from a single trace. This allows an adversary to bypass many of the currently proposed countermeasures, particularly in the asymmetric domain. An investigation into machine-learning methods for side-channel analysis as an alternative to template or stochastic methods is also conducted, with support vector machines, logistic regression and neural networks investigated from a side-channel viewpoint. Both binary and multi-class classification attack scenarios are examined in order to explore the relative strengths of each algorithm. Finally these machine-learning based alternatives are empirically compared with template attacks, with their respective merits examined with regards to attack efficiency.