SEMINAR S’23-Adversary Engagement Ontology
- Post by: Bahareh Arghavani
- March 9, 2023
- Comments off
Presenters:
Nancirose Piazza (PhD Candidate- SAIL Lab),
Bibek Upadhayay(PhD Candidate – SAIL Lab),
Ronnie Scarpa , (Research Assistant-SAIL LAB)
Time: Tuesday 03/21/2023, 10 AM – 12.30 pm ET
Place: Maxcy Hall 218
Recording: TBA
Abstract:
The incorporation of attack patterns and attack models into the cybersecurity infasturture of enterprises for detecting and identifying threats have become commonplace. Adversary engagement has become the term for techniques and methods for interacting with adversaries during a deception operation. The Adversary Engagement Ontology (AEO) aims to describe the conventional terminologies for deception objects within an contextual operation and the necessary components of a deception operation. AEO also strives to maintaining conformity to the Unified Cyber Ontology (UCO) and be flexible with sibling ontologies. In this talk, we will explore the structure of AEO, its design and intentional uses, and illustrate how it can be used to support a deception operation and post analysis.
Speakers:
Nancirose Piazza is a Ph.D candidate at the University of New Haven, focusing on deception and deception mitigation in Multi-Agent Systems. She holds a Bachelor of Science in Mathematics from Sacred Heart University and a Masters in Data Science from the University of New Haven. Her research investigates the conditions of emergent deception in various systems and proposes mitigation and defenses through Machine Learning models and decision-making frameworks.
Bibek Upadhayay is a PhD student and Research Assistant in the SAIL Lab. His research focuses on natural language processing and deep learning, specifically in the areas of information retrieval, graph modeling, and multi-modal learning. Bibek has worked on projects involving the extraction of structured information from news articles reporting human trafficking events, as well as the classification of fake news using both style-based and network-centric models. His work has been published in various conferences and has practical implications for social issues.
Ronnie Scarpa is a skilled individual with expertise in programming languages and cybersecurity-related fields. He holds a Bachelor of Science degree in Cybersecurity and Networks and is currently pursuing another Bachelor’s degree in the same field at the University of New Haven. In December 2022, he began working as a research assistant, indicating his passion for exploring and advancing knowledge in the cybersecurity domain.