MS in Computer Science and Software Engineering
Browse by
Recent Submissions
-
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 ... -
Classifying Child Maltreatment by Brain Imaging Data
Childhood maltreatment is a condition that leads to the development of behavioral issues and affect brain structure and functionality. Recent neuroimaging studies provide connection between deficits in brain volume, gray ... -
Gene Network Inference using Machine Learning and Graph Algorithms on Big Biomedical Data
Gene networks capture the interactions between different biological entities. These gene networks have many applications in modern day biology. In particular, gene networks can help to shed light on the underlying mechanisms ... -
Application of Machine Learning Techniques to Acute Myeloid Leukemia
This thesis is inspired by the position paper ”Predictive, personalized, preventive, par- ticipatory (P4) cancer medicine” [1]. The basic concept of P4 medicine was “The right patient with the right drug at the right dose ...
RSS 1.0