This thesis attempts to develop a formal literature of the political econ- omy of Less Developed Countries (L.D.C.s) with three different questions- protest, violence and investments with the interlinking theme of coordina- tion failures in collective action and its effects on&#...

The first chapter investigates the stability of internet platform trading mechanisms using the notion of ex-ante stability. Standard double auction mechanisms in the literature as well as the revenue-maximizing mechanism of the platform may not be single-buyer-single-seller (SBSS) ex-ante stable. ...

This thesis consists of three empirical essays that explore distinct themes in the realm of political economy and economics of institutions. All, in essence, are investigations into the role of distinct attributes of political institutions and political actors induced by these &#...

Manifold Learning has been widely exploited in the arena of data analysis, machine learning and pattern recognition. The main assumption behind manifold learning is that the input high-dimensional data lies intrinsically on a low-dimensional manifold. This technique is to be used ...

Modern developments in Deep Learning and Machine Learning have shown great capacity to learn from labelled training assumption that training data and the data which the learning algorithm might see during testing or deployment have the same distribution. However this might not be t...

Nowadays the security of most used public-key algorithms are based on the hardness of one of the following problems : 1. The integer factorization, 2. The elliptic-curve discrete logarithm problem. But these problems can be solved by Shor's algorithm [38] and Proo...

This work’s aim is to find an efficient method to measure the Optical Character Recognition (OCR) accuracy in the absence of the ground truth text. To successfully obtain the desired result, initially we have tried some efficient supervised (in the presence of the ...

In this project my aim was to research about how to secure personal health information associated with HIPAA compliance. Firstly, we tried to understand what is HIPAA and how it is connected to health information. Then we tried to find related encryption schemes f...

Healthcare services produce and use a great deal of sensitive personal data. But the fact is that this healthcare data has very high black market value. Now to easily access the healthcare data we can think about an access control server. So if we want to ...

Voting is the most fundamental cornerstone in the context of representative democracy. With the advent of the internet technologies, various types of e-voting mechanisms have emerged. Building an e-voting system capable of performing as good as a traditional voting system is a&#x...

Auction has been an integral part of trading throughout ages. Sealed-bid e-auction (both first-price and second-price) is considered to be a classic example of Secure Multi-Party Computation problem. In this project, without assuming any role of auctioneer, we try to formulate&#...

Privacy is one of the most fundamental aspects of the digital age that we live in. With the advent of the Internet and the advances in both nanoscale electronics and communication technologies, data has become the new oil. And wherever there is data there is&...

Generating random numbers is an important task in cryptography as well as computer science. Pseudo-randomness is fundamental to cryptography and it is required for achieving any cryptographic function like encryption, authentication and identification. The quality of a pseudorandom number...

Modern-day Symmetric-key Cryptology is enriched with numerous contributions including symmetric-key primitives to modes of operation. The approach to design and develop provably secure designs have accelerated the growth of this subject. A lot of encryption, authentication and authenticated&#x...

Drilling has become an expensive and necessary operation to explore petroleum and natural gases.The goal is to increase drilling speed with minimum cost and at the same time maintaining safety.Predicting rate of penetration (ROP) in real time is very important to optimise dr...

Graph coloring is a well known problem with wide-ranging applications. The vertex and edge coloring problems have been studied in various models of computation. Rainbow coloring is a type of edge coloring that also acts as a connectivity measure for graphs. It was ...