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Teaching Security Of Internet Of Things In Using Raspberrypi, Oliver Nichols, Li Yang, Xiaohong Yuan
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 …
Developing And Using Evidence-Based E-Learning Videos For Cybersecurity Education, Wu He, Xin Tian, Mohd Anwar
Developing And Using Evidence-Based E-Learning Videos For Cybersecurity Education, Wu He, Xin Tian, Mohd Anwar
KSU Proceedings on Cybersecurity Education, Research and Practice
To help people improve their knowledge and security self-efficacy in dealing with malware attacks that are relevant and meaningful to their organizations, we recently developed over 30 e-learning videos based on the major types of malware attacks we captured using the state-of-the-art anti-malware solution. The preliminary evaluation results of the videos are quite positive and indicate that these evidence-based e-learning videos have great potential to increase users’ security self-efficacy.
Teaching Static Call Analysis To Detect Anomalous Software Behavior, Jordan Shropshire, Philip Menard
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 …