MS in Computer Science and Software Engineering
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Recent Submissions
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Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3D Cryo-Electron Microscopy Images
Cryo-electron microscopy (cryo-EM) is becoming the imaging method of choice for determining protein structures. Many atomic structures have been resolved based on an exponentially growing number of published three-dimensional ... -
Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
Understanding a protein’s structure can lead to the discovery of therapeutic protein drugs. However, imaging proteins remains a challenge due to their small size. Cryo-electron microscopy (cryo-EM) is a leading imaging ... -
Shell Game: Randomized representative based election to defend against 51% attacks in Crowd sensing frameworks
Smart devices and wearable have become an epicenter of human lives and have increasingly become more complex and powerful to make people’s life easier. Smart devices like smart phones and wearable like a smart watch today ... -
Federated Learning for Intrusion Detection Systems in Medical Cyber-Physical Systems
Medical Cyber-Physical Systems (MCPS) are networked systems of medical devices with seamless integration of physical and computation components. MCPS are increasingly used in healthcare environments to deliver high quality ... -
Data Provenance for Multi-Agent Models in a Distributed Memory
Multi-agent systems (MAS) assist with studying emergent collective behavior of individual entities in social, biological, economic, network, and physical systems. Applied to MAS, data provenance can support agent-based ... -
Effects of Peer Feedback on Password Strength
This thesis is a study on the effects of peer-feedback on a user’s password strength. Passwords are a common sight in everyday use of an average end user. Text-based passwords are heavily relied upon when it comes to user ... -
Smart-Transfer: A Cost-Minimized Inter-Service Data Storage and Transfer Scheme
Cloud storage services are a widely used tool in both industry and research. However, the wide variety of services offered by cloud providers raises the question of which storage services can most cheaply meet the needs ... -
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?
Convolutional Neural Networks and Deep Learning classification systems in general have been shown to be vulnerable to attack by specially crafted data samples that appear to belong to one class but are instead classified ... -
The Impact of Consumer Privacy Behavior on the Purchase Decision Process of Smart Home Internet of Things (IoT) Devices
Privacy issues in smart home Internet of Things (IoT) devices remain unresolved despite its fast growth in the technological and business front. Notwithstanding federal institutions’ initiatives to increase consumer awareness ... -
VULNERABILITY DETECTION AND RESOLUTION IN INTERNET OF THINGS (IoT) DEVICES
The use of Internet of Things (IoT) devices has grown significantly in the past decade. While IoT is expected to improve life for many by enabling smart living spaces, the number of security risks that consumers and ... -
Object Manipulation with Tangible User Interface for Head Mounted Augmented Reality Devices
Recent advances in technology enabled a new generation of Augmented Reality (AR) development where the near seamless integration and interaction between computer generated virtual and real-world physical objects can be ... -
Mobile Agent based Intrusion Detection for Smart and Connected Medical Devices
The advent of wearable and implantable devices have fostered recent advances in healthcare. Medical devices equipped with wireless connectivity to remote monitoring features are increasingly becoming connected to each other ... -
Thimblerig: Architectural Moving Target Defense and a framework for its Game theoretic analysis
Enterprises today are rapidly moving their internal server infrastructure to cloud providers such as AWS and Azure. Migrating to IaaS providers raises a different set of security threats when compared to in-house IT ... -
Deep Learning based Intrusion Detection System for Internet of Things
With the increase in number of Internet connected devices, security and privacy concerns are the major obstacles impeding the widespread adoption of Internet of Things (IoT). Securing IoT has become a huge area of concern ... -
A Sequentialization of Features Approach to Complex Event Sequence Prediction
Sequence based prediction takes an ordered list of events as input and makes predictions about the next event. Most existing work on sequence based prediction assumes that the sequences are simple, i.e. consisting of symbols ... -
Communication and Round Balanced Oblivious FSM Evaluation
Privacy is a major issue in the age of the Internet. Many advances are being made in Cryptography regarding performing computations over private data, both in homomorphic encryption, multi-party computation, and applications ... -
A Sequence Based Approach for Predicting Clinical Events
The data associated to each patient increases almost linearly as the patient flows through the continuum of care. Analysis of the data collected during a patient’s admission to the hospital reveals that it grows vertically ... -
Exploratory Wayfinding in Wide Field Ethnography
This thesis focuses on what wayfinding means in Wide Field Ethnography (WFE), and how to improve wayfinding activities in WFE datasets. WFE datasets are too large, unstructured and complex for researchers to easily understand, ... -
Scalable Propagation Algorithms for Node Labeling in Bipartite Graphs
Bipartite graphs are graphs whose vertices can be partitioned into 2 different independent sets. Many interesting machine learning problems either present themselves naturally as problems of node ... -
Predictive Analytics and Decision Support for Heart Failure patients
In the last few years, legislations such as the Patient Protection and A ordable Care Act, also known as Obamacare, have emphasised the need for improving the quality of health care. Part of the programs introduced by this ...
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