Cache Timing Attacks on Public Key Encryption

The rise of cloud computing has made it a lot easier for attackers to be able to run code on the same processors as their target. This has made many attacks more viable. This thesis discusses a cache timing attack targeting the LibTomMath library. LibTom-Math is a mathematical library for computations using large integers. The library is used in some cryptographic libraries such the commercial solution WolfCrypt. The attack mainly focuses on the modular exponentiation function of LibTom-Math which is a major part of RSA implementations. The aim of the attack is to use cache timing in order to extract the long term private key used by the server for encrypting communications. Recovering the private key, gives the attacker access to past and future communications secured using this key, which usually has a lifespan of at least one year. The attack only requires that it shares a processor with the victim and works even if the attack process and the victim process are running on different Virtual Machines. The thesis includes a description of the RSA cipher as well as the various optimizations that are used in a lot of cryptographic libraries. Next, it describes how to use cache timing to exploit some of those optimizations in order to gain information about the secret exponent based on the memory access patterns of the target code. Finally, it discusses the limitations of the attack as well as how cloud service providers, cryptographic library developers, as well as processor manufacturers, may be able to mitigate this class of attacks

Flow Distribution Inside An Air Conditioning Distributor Using FLUENT Simulation

Flow maldistribution and specifically in distributors has been a major area of study in engineering fluid dynamics. This is due to the abundance of distributors in all engineering process and applications, such as chemical processes, solar collectors, microchannels, heat exchangers, cooling equipment and refrigerant distribution in multi-split type of air conditioner. The literature shows some of the work done on the flow distribution in parallel tubes, ejectors and manifolds, and its effect on the pressure drop as well as the energy losses in the heat exchanger. This study aims at investigating (numerically) the non-uniformity of the flow in various tubes inside the distributor, and trying to solve it using various techniques as well as effect of changing the geometry of the distributor. Using FLUENT 14 software to carry out the CFD study in a one-phase flow (liquid). The results obtained show that the distributor inlet should be long enough in order for the flow to be fully developed. The role of the dispersion cone in making the flow uniform is clearly seen. Also the difference in lengths of the outlet tubes, shows that the short tubes have faster flow and better distribution due to less pressure drop along their lengths. And by changing the outlet tubes diameters the flow distribution became almost uniform throughout all the tubes, which follows the continuity equation

Investigation on the driver's brake application behaviours during emergency braking / Mohamed Heikal Mohamed Saini

In this project entitled "Investigation on the Driver's Brake Application Behaviours during Emergency Braking", investigation of the effects of human braking application on the total stopping distance and stopping time. Vehicle braking is a complicated process which involve human and machine. The shortest braking distance will be achieved through a proper brake application. In the absence of antilock braking system (ABS), it has become the sole responsibility of the driver to achieve optimum braking. Ideally, the driver shall apply stepped or rammed force to the brake to achieve optimum braking. The rate of this force is very important as of to fast will cause wheel locking while to slow will increase braking distance. It is thus the objective to investigate the drivers' braking application behavior during emergency braking through experimental study. The experimental data obtained will be analyzed and compared with theoretical calculations, and conclusion can be drawn on factors which may contribute to the drivers1 brake application behaviors. This research takes place to come out with ways to reduce the stopping time of a vehicle associated with the braking input of the driver thus contributing ways to reduce the accidents. This project will be focusing on the braking application of various drivers through experiment that will be conducted. We will try to study about the human factor and their braking application base on the ideal data. The results will give ways in contributing to the methods to reduce the accidents rates. This project will allow identifying the human and machine factors that affect the total braking time and distance. This project is also to define the cumulative effects of various drivers which had been a big factor in road accidents. This project will allow designing a brake application simulator in hope to contribute helpful data in reducing the accident rate

The Impact of Disease Registries on Advancing Knowledge and Understanding of Dementia Globally

To help address the increasing challenges related to the provision of dementia care, dementia registries have emerged around the world as important tools to gain insights and a better understanding of the disease process. Dementia registries provide a valuable source of standardized data collected from a large number of patients. This review explores the published research relating to different dementia registries around the world and discusses how these registries have improved our knowledge and understanding of the incidence, prevalence, risk factors, mortality, diagnosis, and management of dementia. A number of the best-known dementia registries with high research output including SveDem, NACC, ReDeGi, CREDOS and PRODEM were selected to study the publication output based on their data, investigate the key findings of these registry-based studies. Registries data contributed to understanding many aspects of the disease including disease prevalence in specific areas, patient characteristics and how they differ in populations, mortality risks, as well as the disease risk factors. Registries data impacted the quality of patients’ lives through determining the best treatment strategy for a patient based on previous patient outcomes. In conclusion, registries have significantly advanced scientific knowledge and understanding of dementia and impacted policy, clinical practice care delivery