33 citations · 232 across the 36 of their papers we have counts for
22 papers · 1 filter
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…
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…
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…
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…
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…
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
Priyanka Ranade, Aritran Piplai, Sudip Mittal +2
Cyber-defense systems are being developed to automatically ingest Cyber Threat Intelligence (CTI) that contains semi-structured data and/or text to populate knowledge graphs. A pot…
AI assisted Malware Analysis: A Course for Next Generation Cybersecurity Workforce
Maanak Gupta, Sudip Mittal, Mahmoud Abdelsalam
The use of Artificial Intelligence (AI) and Machine Learning (ML) to solve cybersecurity problems has been gaining traction within industry and academia, in part as a response to w…
Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS
Andrew McDole, Mahmoud Abdelsalam, Maanak Gupta +1
Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to its exposure to external adversaries, making it a lucrative attack vector for malicious actors. A datacente…