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 ... -
ACRAS A Hybrid Graphical User-Authentication System
The traditional text-based password is ubiquitous in today's computing environment, yet creation and maintenance of both usable and secure passwords remains one of the largest challenges in modern computing. This project ... -
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging
The function of a protein is mainly dependent on its exposed surfaces. The protein surface can provide rich information about a protein's function and evolution. Also, identifying protein surface structure is an essential ... -
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 ... -
Detecting Streaming Wireless Cameras with Timing Analysis
The Internet of Things (IoT) is growing rapidly thanks to the convenience it provides to users, as sensors collect, communicate, and collaborate with each other to provide better services. Wi-Fi cameras from a variety of ... -
Building a Machine Learning Based Recommendation Engine for the Virtual Academic Advisor System
Machine Learning is presently being used to tackle various problems from voice recognition to self-driving vehicles. However, there are many areas where modern software applications have not reached due to lack of interest ... -
A Two-layer Authentication Using Voiceprint for Voice Assistants
Voice assistants are a ubiquitous service of contemporary daily life. Their intuitive use and 24-hour-a-day convenience make them popular and have more users. However, the security of voice assistants does not increase as ... -
Detection of Beta-Barrels from Medium Resolution Cryo-electron Microscopy Density Maps
Cryo-electron microscopy is becoming one of the most popular techniques used to determine protein structures. At medium resolutions, secondary structures can be seen from within cryo-electron microscopy density maps. The ... -
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 ...
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