Research | Cyber Innovation Lab

Cyber Systems Security & Privacy

The security and privacy of sensitive data remain paramount in today’s digital landscape. Through our research in applied cryptography and security, we aim to develop sophisticated cryptographic algorithms and secure communication protocols. By exploring cryptographic primitives, encryption techniques, and secure key management, we strive to fortify the foundations of secure data transmission and storage.

Trustworthy AI in Cybersecurity

In this research area, we investigate both how machine learning can enhance cybersecurity defenses and how to protect AI systems from adversarial attacks. Our recent work develops intelligent security mechanisms for threat detection while simultaneously creating novel methodologies to protect AI models from manipulation through adversarial inputs. This dual approach ensures we build both effective and resilient AI-powered security solutions.

Decentralized Systems and Applications

Our research in decentralized systems encompasses both foundational architectures and their practical applications. We continue to advance the field through innovative P2P frameworks. Our current research focuses on location-aware cryptography and secure fog computing architectures, particularly in healthcare applications. By integrating blockchain technology and advanced cryptographic protocols, we address critical challenges in scalability, security, and efficiency.

Brain-Computer Interfaces and their Security

In this emerging area, we advance the frontiers of neural computing and its security implications. Our recent work presents a comprehensive review of EEG-to-text conversion technologies, analyzing methodologies, challenges, and future directions in brain signal decoding while considering privacy and security implications. This research aims to establish novel methodologies for secure neural data processing and transmission.

Digital Warfare & Cybersecurity Policy

Our research in cyber warfare examines the evolving landscape of digital conflicts, defensive strategies, and their implications for national security. This work encompasses the analysis of sophisticated cyber threats, development of counter-measures, and investigation of emerging battlefield dynamics. Through policy-focused research, we develop frameworks for enhancing organizational and national cyber resilience while addressing modern threats.

Computing Sciences Education

We are committed to advancing cybersecurity education through innovative approaches. Our current work, supported by the NSF NAIRR pilot program, focuses on developing advanced machine learning curricula for cybersecurity education. As Curriculum Developers for the IN-CITE program, we lead the development of cyber warfare training curricula bridging academic and military needs, strengthening our institution’s position in cybersecurity education.

Cybersecurity in Maritime

Our research in maritime cybersecurity addresses the unique vulnerabilities of shipboard networks, autonomous vessels, and port infrastructure. We develop resilient defense mechanisms to protect critical maritime communication systems, navigation tools, and operational technology from sophisticated cyber threats and adversarial attacks at sea.

Computer Vision

We explore advanced computer vision techniques, focusing on object detection, 3D reconstruction, and visual perception in complex environments. Our work aims to improve autonomous navigation, anomaly detection, and automated surveillance systems by leveraging state-of-the-art deep learning architectures and neural rendering.

Distributed AI

We investigate robust methodologies for distributing artificial intelligence and machine learning processes across networks. Our work focuses on developing resilient multi-agent systems, enhancing secure edge computing, and deploying intelligent models within distributed architectures like Fog and IoT, ensuring scalable and secure intelligent operations.

Research Areas