Mapping Knowledge Units Using A Learning Management System (Lms) Course Framework, Casey Rackley

KSU Proceedings on Cybersecurity Education, Research and Practice

ABSTRACT

The purpose of this paper is to examine the outcomes of using a Learning Management System (LMS) course as a framework for mapping the Centers of Academic Excellence in Cyber Defense (CAE-CD) 2019 Knowledge Units (KU) to college courses. The experience shared herein will be useful to faculty who are interested in performing the mapping and applying for CAE-CDE designation.

Cybersecurity Education Employing Experiential Learning, Travis Lowe, Casey Rackley

KSU Proceedings on Cybersecurity Education, Research and Practice

ABSTRACT

The purpose of this paper is to discuss a curriculum design that employs Kolb’s Experiential Learning Theory stages and Kolb’s Learning Styles in four consecutive class sessions. The challenge each class is to present students with perplexing and often frustrating network problems that someday might be encountered on the job. By using Kolb’s theory, students address those problems from the perspective of each learning style, while passing through each phase of the learning cycle. As a result, students gain stronger cognitive thinking skills and hands-on troubleshooting skills in preparation for work as network administrators or cybersecurity analysts.

Ssetgami: Secure Software Education Through Gamification, Hector Suarez, Hooper Kincannon, Li Yang

KSU Proceedings on Cybersecurity Education, Research and Practice

Since web browsers have become essential to accomplishing everyday tasks, developing secure web applications has become a priority in order to protect user data, corporate databases and critical infrastructure against cyber-crimes . This research presents a game-like (gamification) approach to teach key concepts and skills on how to develop secure web applications. Gamification draws on motivational models, one of psychological theories. Gamification design has great potential over traditional education where we often find students demotivated and lecturers failing to engage them in learning activities. This research created game-like learning modules to teach top vulnerabilities and countermeasures for these top vulnerabilities …

Planning And Implementing A Successful Nsa-Nsf Gencyber Summer Cyber Academy, Bryson R. Payne, Tamirat Abegaz, Keith Antonia

KSU Proceedings on Cybersecurity Education, Research and Practice

The GenCyber program is jointly sponsored by the National Security Agency (NSA) and the National Science Foundation (NSF) to help faculty and cybersecurity experts provide summer cybersecurity camp experiences for K-12 students and teachers. The main objective of the program is to attract, educate, and motivate a new generation of young men and women to help address the nationwide shortage of trained cybersecurity professionals. The curriculum is flexible and centers on ten cybersecurity first principles. Currently, GenCyber provides cyber camp options for three types of audiences: students, teachers, and a combination of both teachers and students. In 2016, over 120 …

Teaching Security Of Internet Of Things In Using Raspberrypi, Oliver Nichols, Li Yang, Xiaohong Yuan

KSU Proceedings on Cybersecurity Education, Research and Practice

The Internet of Things (IoTs) is becoming a reality in today’s society. The IoTs can find its application in multiple domains including healthcare, critical infrastructure, transportation, and home and personal use. It is important to teach students importance and techniques that are essential in protecting IoTs. We design a series of hands-on labs in a smart home setting, which can exercise attack and protection of IoTs. Our hands-on labs use a Raspberry Pi and several diverse smart things that communicate through Z-Wave technology. Using this environment, students can operate a home automation system and learn security concepts by performing these …

Teaching Static Call Analysis To Detect Anomalous Software Behavior, Jordan Shropshire, Philip Menard

KSU Proceedings on Cybersecurity Education, Research and Practice

Malicious code detection is a critical part of any cyber security operation. Typically, the behavior of normal applications is modeled so that deviations from normal behavior can be identified. There are multiple approach to modeling good behavior but the most common approach is to observe applications’ system call activity. System calls are messages passed between user space applications and their underlying operating systems. The detection of irregular system call activity signals the presence of malicious software behavior. This method of malware-detection has been used successfully for almost two decades. Unfortunately, it can be difficult to cover this concept at the …