33 citations · 232 across the 36 of their papers we have counts for
10 papers · 1 filter
Risks to Zero Trust in a Federated Mission Partner Environment
Keith Strandell, Sudip Mittal
Recent cybersecurity events have prompted the federal government to begin investigating strategies to transition to Zero Trust Architectures (ZTA) for federal information systems.…
A White-Box Adversarial Attack Against a Digital Twin
Wilson Patterson, Ivan Fernandez, Subash Neupane +3
Recent research has shown that Machine Learning/Deep Learning (ML/DL) models are particularly vulnerable to adversarial perturbations, which are small changes made to the input dat…
Self-Sovereign Identity in a World of Authentication: Architecture and Domain Usecases
Morgan Reece, Sudip Mittal
Self-Sovereign Identity (SSI) is projected to become part of every person's life in some form. The ability to verify and authenticate that an individual is the actual person they a…
A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
Subash Neupane, Ivan A. Fernandez, Wilson Patterson +2
A modern vehicle fitted with sensors, actuators, and Electronic Control Units (ECUs) can be divided into several operational subsystems called Functional Working Groups (FWGs). Exa…
Designing an Artificial Immune System inspired Intrusion Detection System
William Anderson, Kaneesha Moore, Jesse Ables +4
The Human Immune System (HIS) works to protect a body from infection, illness, and disease. This system can inspire cybersecurity professionals to design an Artificial Immune Syste…
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
Chuyen Nguyen, Caleb Morgan, Sudip Mittal
As the practicality of Artificial Intelligence (AI) and Machine Learning (ML) based techniques grow, there is an ever increasing threat of adversarial attacks. There is a need to r…
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
Jesse Ables, Thomas Kirby, William Anderson +4
Modern Artificial Intelligence (AI) enabled Intrusion Detection Systems (IDS) are complex black boxes. This means that a security analyst will have little to no explanation or clar…
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane, Jesse Ables, William Anderson +4
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity challenges has gained traction in industry and academia, partially as a result of widespr…
A Policy Driven AI-Assisted PoW Framework
Trisha Chakraborty, Shaswata Mitra, Sudip Mittal +1
Proof of Work (PoW) based cyberdefense systems require incoming network requests to expend effort solving an arbitrary mathematical puzzle. Current state of the art is unable to di…
An Intrusion Response System utilizing Deep Q-Networks and System Partitions
Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci +4
Intrusion Response is a relatively new field of research. Recent approaches for the creation of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary techn…