Secure boot is reliant on the Chain of Trust to guarantee the security of an individual device. Chain of trust refers to the transfer of trust such that the transfer of execution in a device from one component to another does not alter the quality of trust. The transfer of execution in a cyber-enabled structure is one of the most important decision points where the state of trust is altered. In this project, we identify the constructs of secure flash (programming of a device) to maintain trust within the secure boot for subsequent bootups.

In the realm of education, a revolutionary tool called ChatGPT and Generative AI is changing the way students learn. ChatGPT and generative AI are not just theoretical concepts; they are already being used by students. ChatGPT, trained on vast amounts of data, generates human-like text and assists students in various ways. It helps them generate papers, provides prompt and accurate answers to their questions, and aids in research by finding relevant sources. Teachers play a crucial role in integrating ChatGPT effectively.

Internet of Things (IoT) devices capture and process sensitive personally identifiable information such as camera feeds and health data from enterprises and households. These devices are becoming targets of prominent attacks such as Distributed- Denial-of-Service (DDoS) and Botnets, as well as sophisticated attacks (e.g., Zero Click) that are elusive by design. There is a need for cyber deception techniques that can automate attack impact mitigation at the scale that IoT networks demand.

In recent years, aviation security was designated as a national strategy, which further emphasized the increasing interest and growth for aviation cybersecurity. The growing digitization and greater connectivity of aviation infrastructure increases the vulnerabilities and risks associated with the aviation industry. In response, educational institutions must diversify their instruction to train a more robust cybersecurity workforce for increased cybersecurity protection.

This presentation will share some of the approaches currently underway to explore evidencing competencies through cyber competitions. The presenters will share preliminary findings from research underway on how students perceive competency development as well as a model for evidencing competency within competitions for consideration and discussion.
 

THIS PROJECT ADDRESSES the problem of securing autonomous underwater vehicle (AUV) swarm missions. GOALS: G1. Establish secure and resilient underwater communications channels for AUV by using underwater mobile ad hoc networks (uMANET). G2. Determine what formations or behaviors the swarm should adopt for a given mission, and design communication protocols that effectively maintain the swarm in the desired formation. G3.

Cybersecurity student development programs are initiatives designed to help students in higher learning institutions develop the skills and competencies necessary to succeed academically, professionally, and personally. These programs aim to provide students with opportunities to engage in activities and experiences that foster growth and development inside and outside the classroom. The goal is to help students become well-rounded individuals with the knowledge and skills necessary to navigate the challenges of college and the world beyond.

The Cybersecurity Maturity Model Certification (CMMC) is becoming an integral part of the cybersecurity ecosystem, with its emphasis on supply chain security. Undergraduate students may benefit from being introduced to the CMMC model early in their cybersecurity training. This presentation will explore what CMMC is, the United States government foundation for this certification, and how best to present this to undergraduate students.

This Lightning Talk will discuss how the Information Technology department at Johnson County Community College (JCCC) developed and maintains a K-12 pathway with a large local district, Blue Valley Schools. Now in its second year, the pathway provides students the opportunity to complete the JCCC Cybersecurity Certificate program tuition-free alongside their high school education. Successful students will receive both their diploma and the Cybersecurity Certificate upon graduation from high school.

The proposed tool will provide users with a platform to access a side-by-side comparison of classroom assessment and job posting requirements. Using techniques and methodologies from NLP, machine learning, data analysis, and data mining, the employed algorithm analyzes job postings and classroom assessments, extracts and classifies skill units within, then compares sets of skills from different input volumes. This effectively provides a predicted alignment between academic and career sources, both federal and industrial.