Search Results for author: Sudip Mittal

Found 19 papers, 2 papers with code

A White-Box Adversarial Attack Against a Digital Twin

no code implementations25 Oct 2022 Wilson Patterson, Ivan Fernandez, Subash Neupane, Milan Parmar, Sudip Mittal, Shahram Rahimi

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 data in order to fool a machine learning classifier.

Adversarial Attack

A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels

no code implementations14 Sep 2022 Subash Neupane, Ivan A. Fernandez, Wilson Patterson, Sudip Mittal, Shahram Rahimi

A modern vehicle fitted with sensors, actuators, and Electronic Control Units (ECUs) can be divided into several operational subsystems called Functional Working Groups (FWGs).

Anomaly Detection

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

no code implementations16 Aug 2022 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.

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities

no code implementations13 Jul 2022 Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

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 widespread malware attacks on critical systems such as cloud infrastructures and government institutions.

Intrusion Detection

A Policy Driven AI-Assisted PoW Framework

1 code implementation21 Mar 2022 Trisha Chakraborty, Shaswata Mitra, Sudip Mittal, Maxwell Young

Proof of Work (PoW) based cyberdefense systems require incoming network requests to expend effort solving an arbitrary mathematical puzzle.

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

no code implementations8 Feb 2021 Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin

We evaluate with traditional approaches and conduct a human evaluation study with cybersecurity professionals and threat hunters.

Data Poisoning Knowledge Graphs +1

Enabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case

no code implementations13 Apr 2020 Maanak Gupta, Mahmoud Abdelsalam, Sudip Mittal

Internet of Things is a revolutionary domain that has the caliber to impact our lives and bring significant changes to the world.

Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS

no code implementations15 Feb 2020 Andrew McDole, Mahmoud Abdelsalam, Maanak Gupta, Sudip Mittal

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.

Malware Detection

Cyber-All-Intel: An AI for Security related Threat Intelligence

no code implementations7 May 2019 Sudip Mittal, Anupam Joshi, Tim Finin

It uses multiple knowledge representations like, vector spaces and knowledge graphs in a 'VKG structure' to store incoming intelligence.

Knowledge Graphs

RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement

no code implementations7 May 2019 Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak

A cybersecurity knowledge graph can be paramount in aiding a security analyst to detect cyber threats because it stores a vast range of cyber threat information in the form of semantic triples which can be queried.

Relation Extraction

Mining Threat Intelligence about Open-Source Projects and Libraries from Code Repository Issues and Bug Reports

no code implementations9 Aug 2018 Lorenzo Neil, Sudip Mittal, Anupam Joshi

We represent and store this threat intelligence, along with the software dependencies in a security knowledge graph.

Preventing Poisoning Attacks on AI based Threat Intelligence Systems

no code implementations19 Jul 2018 Nitika Khurana, Sudip Mittal, Anupam Joshi

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

Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence

no code implementations19 Jul 2018 Priyanka Ranade, Sudip Mittal, Anupam Joshi, Karuna Joshi

We create a neural network based system that takes in cybersecurity data in a different language and outputs the respective English translation.


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

no code implementations10 Aug 2017 Sudip Mittal, Anupam Joshi, Tim Finin

Knowledge graphs and vector space models are robust knowledge representation techniques with individual strengths and weaknesses.

Knowledge Graphs

Using Data Analytics to Detect Anomalous States in Vehicles

no code implementations25 Dec 2015 Sandeep Nair Narayanan, Sudip Mittal, Anupam Joshi

Vehicles are becoming more and more connected, this opens up a larger attack surface which not only affects the passengers inside vehicles, but also people around them.

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