Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Leia Spaniak, Senior
Lead Presenter's Name
Leia Spaniak
Lead Presenter's College
DB College of Engineering
Faculty Mentor Name
Cagri Kilic
Abstract
The purpose of this research is to investigate how a biological immune-based response can be employed to create a self-evolving cybersecurity framework for aerospace navigation systems. Specifically, as part of Project SENTINEL, this research identifies key members of dendritic cells (DCs) to understand their mechanisms for detecting diverse varieties of foreign invaders, from malignant bacteria to viral infections. The multi-layered approach of Pathogen Recognition Receptors (PRRs) in threat detection contributes to the innate immune system by employing a diverse array of generalized and specialized receptors, such as varieties of Toll-Like Receptors (TLRs) and Nod-Like Receptors (NLRs), which can trigger inflammatory responses. This process provides guidance for detecting new threats or Advanced Persistent Threats (APTs) in a security framework, particularly through sensor attack detection. B-cells and T-cells contribute to the adaptive response by first employing non-specific naïve B-cell receptors, which require confirmation from T cells to activate immune responses. Once activated, these cells differentiate into memory B cells, which no longer rely on substantial assistance from T cells to produce specialized antibodies. This research aims to investigate specific AI/ML methods based on these immune system mechanisms to enhance the detection of novel attacks and threat detection response adaptation.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Bio-Inspired Cybersecurity: Adapting Immune System Strategies for Threat Detection in Autonomous Aerospace Navigation
The purpose of this research is to investigate how a biological immune-based response can be employed to create a self-evolving cybersecurity framework for aerospace navigation systems. Specifically, as part of Project SENTINEL, this research identifies key members of dendritic cells (DCs) to understand their mechanisms for detecting diverse varieties of foreign invaders, from malignant bacteria to viral infections. The multi-layered approach of Pathogen Recognition Receptors (PRRs) in threat detection contributes to the innate immune system by employing a diverse array of generalized and specialized receptors, such as varieties of Toll-Like Receptors (TLRs) and Nod-Like Receptors (NLRs), which can trigger inflammatory responses. This process provides guidance for detecting new threats or Advanced Persistent Threats (APTs) in a security framework, particularly through sensor attack detection. B-cells and T-cells contribute to the adaptive response by first employing non-specific naïve B-cell receptors, which require confirmation from T cells to activate immune responses. Once activated, these cells differentiate into memory B cells, which no longer rely on substantial assistance from T cells to produce specialized antibodies. This research aims to investigate specific AI/ML methods based on these immune system mechanisms to enhance the detection of novel attacks and threat detection response adaptation.