Detecting malware targeting IoT devices has became an important challenge with the recent
emergence of IoT botnets. Gateways at the edge between the Internet and IoT devices …

Machine learning models are increasingly being adopted across various fields, such as
medicine, business, autonomous vehicles, and cybersecurity, to analyze vast amounts of …

Machine Learning (ML) has become the new contrivance in almost every field. This makes
them a target of fraudsters by various adversary attacks, thereby hindering the performance …

This dissertation proposes several improvements to existing adversarial attacks against
MalConv, a raw-byte malware classifier for Windows PE files. The included contributions …

Abstract Internet of Things (IoT) devices are an integral part of our cyber infrastructure. Edge
IoT devices, specifically, are utilized where time matters most, but they do not have many …

With the increase in vision-associated applications in e-commerce, image retrieval has
become an emerging application in computer vision. Matching the exact user clothes from …

Ransomware attacks have captured news headlines worldwide for the last few years due to
their criticality and intensity. Ransomware-as-a-Service (RaaS) kits are aiding adversaries to …

With advancements in technology, the Smart grid has been a critical upgradeto the
traditional grid leading to integration of cyber with physical systems, andenhanced …

As the integration of Internet of Things devices continues to increase, the security challenges
associated with autonomous, self-executing Internet of Things devices become increasingly …