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09/15/2023
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
A major challenge with off-road autonomous navigation is the lack of map...
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07/25/2023
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly a...
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06/22/2023
Impacts and Risk of Generative AI Technology on Cyber Defense
Generative Artificial Intelligence (GenAI) has emerged as a powerful tec...
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06/02/2023
Systemic Risk and Vulnerability Analysis of Multi-cloud Environments
With the increasing use of multi-cloud environments, security profession...
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05/23/2023
REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response
Automated Intelligent Cyberdefense Agents (AICAs) that are part Intrusio...
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05/15/2023
Survey of Malware Analysis through Control Flow Graph using Machine Learning
Malware is a significant threat to the security of computer systems and ...
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03/30/2023
Explainable Intrusion Detection Systems Using Competitive Learning Techniques
The current state of the art systems in Artificial Intelligence (AI) ena...
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02/15/2023
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
Robotics, automation, and related Artificial Intelligence (AI) systems h...
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02/01/2023
TwinExplainer: Explaining Predictions of an Automotive Digital Twin
Vehicles are complex Cyber Physical Systems (CPS) that operate in a vari...
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01/27/2023
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
Critical servers can be secured against distributed denial of service (D...
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11/30/2022
Risks to Zero Trust in a Federated Mission Partner Environment
Recent cybersecurity events have prompted the federal government to begi...
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10/25/2022
A White-Box Adversarial Attack Against a Digital Twin
Recent research has shown that Machine Learning/Deep Learning (ML/DL) mo...
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09/23/2022
Self-Sovereign Identity in a World of Authentication: Architecture and Domain Usecases
Self-Sovereign Identity (SSI) is projected to become part of every perso...
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09/14/2022
A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
A modern vehicle fitted with sensors, actuators, and Electronic Control ...
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08/16/2022
Designing an Artificial Immune System inspired Intrusion Detection System
The Human Immune System (HIS) works to protect a body from infection, il...
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08/16/2022
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
As the practicality of Artificial Intelligence (AI) and Machine Learning...
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07/15/2022
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
Modern Artificial Intelligence (AI) enabled Intrusion Detection Systems ...
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07/13/2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
The application of Artificial Intelligence (AI) and Machine Learning (ML...
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03/21/2022
A Policy Driven AI-Assisted PoW Framework
Proof of Work (PoW) based cyberdefense systems require incoming network ...
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02/16/2022
An Intrusion Response System utilizing Deep Q-Networks and System Partitions
Intrusion Response is a relatively new field of research. Recent approac...
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02/08/2021
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
Cyber-defense systems are being developed to automatically ingest Cyber ...
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09/21/2020
AI assisted Malware Analysis: A Course for Next Generation Cybersecurity Workforce
The use of Artificial Intelligence (AI) and Machine Learning (ML) to sol...
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04/13/2020
Enabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case
Internet of Things is a revolutionary domain that has the caliber to imp...
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02/15/2020
Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS
Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to...
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05/07/2019
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
Security Analysts that work in a `Security Operations Center' (SoC) play...
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05/07/2019
Cyber-All-Intel: An AI for Security related Threat Intelligence
Keeping up with threat intelligence is a must for a security analyst tod...
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08/09/2018
Mining Threat Intelligence about Open-Source Projects and Libraries from Code Repository Issues and Bug Reports
Open-Source Projects and Libraries are being used in software developmen...
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07/19/2018
Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence
The multilingual nature of the Internet increases complications in the c...
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07/19/2018
Preventing Poisoning Attacks on AI based Threat Intelligence Systems
As AI systems become more ubiquitous, securing them becomes an emerging ...
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08/10/2017
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs
Knowledge graphs and vector space models are robust knowledge representa...
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12/25/2015