Search Results for author: Anupam Joshi

Found 14 papers, 1 papers with code

CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations

no code implementations2 Aug 2022 Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin, Robert F. Erbacher

This ability to reason over the mission sensed environment and attack context permits the autonomous IoBT system to exhibit resilience in contested conditions.

Knowledge Graphs

Recognizing and Extracting Cybersecurtity-relevant Entities from Text

no code implementations2 Aug 2022 Casey Hanks, Michael Maiden, Priyanka Ranade, Tim Finin, Anupam Joshi

Cyber Threat Intelligence (CTI) is information describing threat vectors, vulnerabilities, and attacks and is often used as training data for AI-based cyber defense systems such as Cybersecurity Knowledge Graphs (CKG).

Entity Linking Knowledge Graphs +1

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

NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion

no code implementations20 Feb 2020 Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi

In this paper, we show that even if we build a classifier and train it with adversarial examples for network data, we can use adversarial attacks and successfully break the system.

BIG-bench Machine Learning

Named Entity Recognition for Nepali Language

1 code implementation16 Aug 2019 Oyesh Mann Singh, Ankur Padia, Anupam Joshi

Named Entity Recognition have been studied for different languages like English, German, Spanish and many others but no study have focused on Nepali language.

named-entity-recognition NER

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

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

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.

Translation

UMBC at SemEval-2018 Task 8: Understanding Text about Malware

no code implementations SEMEVAL 2018 Ankur Padia, Arpita Roy, Taneeya Satyapanich, Francis Ferraro, SHimei Pan, Youngja Park, Anupam Joshi, Tim Finin

We describe the systems developed by the UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing).

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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