b'Sudip Mittal'

research

∙ 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...

0 Charles Moore, et al. ∙

research

∙ 07/25/2023

Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy

Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly a...

0 Aritran Piplai, et al. ∙

research

∙ 06/22/2023

Impacts and Risk of Generative AI Technology on Cyber Defense

Generative Artificial Intelligence (GenAI) has emerged as a powerful tec...

0 Subash Neupane, et al. ∙

research

∙ 06/02/2023

Systemic Risk and Vulnerability Analysis of Multi-cloud Environments

With the increasing use of multi-cloud environments, security profession...

0 Morgan Reece, et al. ∙

research

∙ 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...

0 Damodar Panigrahi, et al. ∙

research

∙ 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 ...

0 Shaswata Mitra, et al. ∙

research

∙ 03/30/2023

Explainable Intrusion Detection Systems Using Competitive Learning Techniques

The current state of the art systems in Artificial Intelligence (AI) ena...

0 Jesse Ables, et al. ∙

research

∙ 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...

0 Sudip Mittal, et al. ∙

research

∙ 02/01/2023

TwinExplainer: Explaining Predictions of an Automotive Digital Twin

Vehicles are complex Cyber Physical Systems (CPS) that operate in a vari...

0 Subash Neupane, et al. ∙

research

∙ 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...

0 Trisha Chakraborty, et al. ∙

research

∙ 11/30/2022

Risks to Zero Trust in a Federated Mission Partner Environment

Recent cybersecurity events have prompted the federal government to begi...

0 Keith Strandell, et al. ∙

research

∙ 10/25/2022

A White-Box Adversarial Attack Against a Digital Twin

Recent research has shown that Machine Learning/Deep Learning (ML/DL) mo...

0 Wilson Patterson, et al. ∙

research

∙ 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...

0 Morgan Reece, et al. ∙

research

∙ 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 ...

0 Subash Neupane, et al. ∙

research

∙ 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...

0 William Anderson, et al. ∙

research

∙ 08/16/2022

CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models

As the practicality of Artificial Intelligence (AI) and Machine Learning...

0 Chuyen Nguyen, et al. ∙

research

∙ 07/15/2022

Creating an Explainable Intrusion Detection System Using Self Organizing Maps

Modern Artificial Intelligence (AI) enabled Intrusion Detection Systems ...

0 Jesse Ables, et al. ∙

research

∙ 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...

34 Subash Neupane, et al. ∙

research

∙ 03/21/2022

A Policy Driven AI-Assisted PoW Framework

Proof of Work (PoW) based cyberdefense systems require incoming network ...

0 Trisha Chakraborty, et al. ∙

research

∙ 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...

0 Valeria Cardellini, et al. ∙

research

∙ 02/08/2021

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Cyber-defense systems are being developed to automatically ingest Cyber ...

17 Priyanka Ranade, et al. ∙

research

∙ 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...

0 Maanak Gupta, et al. ∙

research

∙ 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...

0 Maanak Gupta, et al. ∙

research

∙ 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...

0 Andrew McDole, et al. ∙

research

∙ 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...

0 Aditya Pingle, et al. ∙

research

∙ 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...

12 Sudip Mittal, et al. ∙

research

∙ 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...

0 Lorenzo Neil, et al. ∙

research

∙ 07/19/2018

Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence

The multilingual nature of the Internet increases complications in the c...

0 Priyanka Ranade, et al. ∙

research

∙ 07/19/2018

Preventing Poisoning Attacks on AI based Threat Intelligence Systems

As AI systems become more ubiquitous, securing them becomes an emerging ...

0 Nitika Khurana, et al. ∙

research

∙ 08/10/2017

Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs

Knowledge graphs and vector space models are robust knowledge representa...

0 Sudip Mittal, et al. ∙

research

∙ 12/25/2015

Using Data Analytics to Detect Anomalous States in Vehicles

Vehicles are becoming more and more connected, this opens up a larger at...

0 Sandeep Nair Narayanan, et al. ∙

Sudip Mittal

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