33 citations · 232 across the 36 of their papers we have counts for
40 papers
parHSOM: A novel parallel Hierarchical Self-Organizing Map implementation
Rebekah Lane, Logan Cummins, Andy Perkins +3
The digital age has completely transformed the way that information is processed and stored, which makes cybersecurity a crucial field of research. Cybersecurity contains many diff…
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
Jesse Ables, Nathaniel Childers, William Anderson +4
This paper addresses trust issues created from the ubiquity of black box algorithms and surrogate explainers in Explainable Intrusion Detection Systems (X-IDS). While Explainable A…
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins, Alex Sommers, Somayeh Bakhtiari Ramezani +4
Predictive maintenance is a well studied collection of techniques that aims to prolong the life of a mechanical system by using artificial intelligence and machine learning to pred…
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra, Trisha Chakraborty, Subash Neupane +2
In an increasingly interconnected world, where information is the lifeblood of modern society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of di…
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4
Security Operations Center (SoC) analysts gather threat reports from openly accessible global threat repositories and tailor the information to their organization's needs, such as…
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane, Shaswata Mitra, Ivan A. Fernandez +5
Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their inception. Today, AI-Robotics systems have become an integral part of our daily lives, from…
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
Charles Moore, Shaswata Mitra, Nisha Pillai +4
A major challenge with off-road autonomous navigation is the lack of maps or road markings that can be used to plan a path for autonomous robots. Classical path planning methods mo…
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni +3
Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly advancing field that combines the subsymbolic strengths of (deep) neural networks and explicit, symbolic know…
Systemic Risk and Vulnerability Analysis of Multi-cloud Environments
Morgan Reece, Theodore Edward Lander, Matthew Stoffolano +4
With the increasing use of multi-cloud environments, security professionals face challenges in configuration, management, and integration due to uneven security capabilities and fe…
Impacts and Risk of Generative AI Technology on Cyber Defense
Subash Neupane, Ivan A. Fernandez, Sudip Mittal +1
Generative Artificial Intelligence (GenAI) has emerged as a powerful technology capable of autonomously producing highly realistic content in various domains, such as text, images,…
Survey of Malware Analysis through Control Flow Graph using Machine Learning
Shaswata Mitra, Stephen A. Torri, Sudip Mittal
Malware is a significant threat to the security of computer systems and networks which requires sophisticated techniques to analyze the behavior and functionality for detection. Tr…
REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response
Damodar Panigrahi, William Anderson, Joshua Whitman +2
Automated Intelligent Cyberdefense Agents (AICAs) that are part Intrusion Detection Systems (IDS) and part Intrusion Response Systems (IRS) are being designed to protect against so…
Explainable Intrusion Detection Systems Using Competitive Learning Techniques
Jesse Ables, Thomas Kirby, Sudip Mittal +4
The current state of the art systems in Artificial Intelligence (AI) enabled intrusion detection use a variety of black box methods. These black box methods are generally trained u…
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
Sudip Mittal, Jingdao Chen
Robotics, automation, and related Artificial Intelligence (AI) systems have become pervasive bringing in concerns related to security, safety, accuracy, and trust. With growing dep…
TwinExplainer: Explaining Predictions of an Automotive Digital Twin
Subash Neupane, Ivan A. Fernandez, Wilson Patterson +3
Vehicles are complex Cyber Physical Systems (CPS) that operate in a variety of environments, and the likelihood of failure of one or more subsystems, such as the engine, transmissi…
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
Trisha Chakraborty, Shaswata Mitra, Sudip Mittal
Critical servers can be secured against distributed denial of service (DDoS) attacks using proof of work (PoW) systems assisted by an Artificial Intelligence (AI) that learns conte…
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…