Chinese Wall Security Policy

This project establishes a Chinese wall security policy model in the environment of cloud computing. In 1988 Brewer and Nash proposed a very nice commercial security policy in British financial world. Though the policy was well accepted, but the model was incorrect. A decade later, Dr. Lin provided a model in 2003 that meets Brewer & Nash’s Policy. One of the important components in Cloud computing is data center. In order for any company to store data in the center, a trustable security policy model is a must; Chinese wall security policy model will provide this assurance. The heart of the Chinese Wall Security Policy Model is the concept of Conflict of Interest (COI). The concept can be modeled by an anti-reflexive, symmetric and transitive binary relation. In this project, by extending Dr. Lin’s Model, we explore the security issues in the environment of cloud computing and develop a small system of the Chinese Wall Security Model

An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation

In computer vision, one of the common practice to augment the image dataset is by creating new images using geometric transformation, which preserves the similarity. This data augmentation was one of the most significant factors to win the Image Net competition in 2012 with vast neural networks. Similarly, in speech recognition, we saw similar results by augmenting the signal by noise, slowing signal or accelerating it, and spectrogram modification. Unlike in computer vision and speech data, there haven not been many techniques explored to augment data in natural language processing (NLP). The only technique explored in text data is by lexical substitution, which only focuses on replacing words by synonyms. In this thesis, we investigate the use of different pointer networks with the sequence to sequence models, which have shown excellent results in neural machine translation (NMT) and text simplification tasks, in generating similar sentences using a sequence to sequence model and of the paraphrase dataset (PPDB). The evaluation of these paraphrases is carried out by augmenting the training dataset of IMDb movie review dataset and comparing its performance with the baseline model. We show how these paraphrases can affect downstream tasks. Furthermore, We train different classifiers to create a stable baseline for evaluation on IMDb movie dataset. To our best knowledge, this is the first study on generating paraphrases using these models with the help of PPDB dataset and evaluating these paraphrases in the downstream task

Carbonaceous Nanomaterial: Rapid Synthesis, Property Characterization and Theoretical Analysis

In this thesis, An environmentally friendly and rapid synthesis of highly porous carbon nanomaterial is presented. The direct pyrolysis of the cane sugar was achieved in a hand-fabricated Teflon microchamber. Homogeneous heating and quick pyrolysis were carried out in 3 minutes using a household microwave oven. The porosity and surface area enhancement is obtained by in-step decompositions of household baking soda (sodium bicarbonate), a common household chemical. Sodium bicarbonate was specifically used to impregnate porous carbon foam with sodium oxide nanocomplexes, which were later washed to improve surface area and reduce oxygen content, making it suitable for applications such as battery anode. The ill effects of presence of oxygen based impurities in anode carbon material on intercalated alkali ions was analyzed by Density Functional Theory simulations. The surface properties, elemental composition and crystallinity of the material were analyzed with field emission scanning electron microscope (FESEM), energy dispersive x-ray spectroscopy (EDS) and x-ray diffraction (XRD) data. The data showed in step development of carbon material into high surface area carbon nanosphere morphologies with reducing oxygen content due to decomposition of sodium bicarbonate