Engineering Commons^™

Suas: Cybersecurity Threats, Vulnerabilities, And Exploits, Philip Craiger, Gary Kessler, William Rose

J. Philip Craiger, Ph.D.

The FAA predicts that purchases of hobbyist small unmanned aerial systems (sUAS) will grow from 1.9 million in 2016 to 4.3 million by 2020, and commercial sUAS to increase from 600,000 in 2016 to 2.7 million by 2020. sUAS, often referred to as 'drones,' are comprised of aeronautical hardware, a CPU, RAM, onboard storage, radio frequency communications, sensors, a camera, and a controller used by the pilot-in-command (PIC). Some have argued that a sUAS is essentially a flying computer. As such, sUAS are sometimes susceptible to many of the types of attacks that are often used on PC-based computers attached …

Implementing And Testing A Novel Chaotic Cryptosystem, Samuel Jackson, Scott Kerlin, Jeremy Straub

Jeremy Straub

Cryptography in the domain of small satellites is a relatively new area of research. Compared to typical desktop computers, small satellites have limited bandwidth, processing power, and battery power. Many of the current encryption schemes were developed for desktop computers and servers, and as such may be unsuitable for small satellites. In addition, most cryptographic research in the domain of small satellites focuses on hardware solutions, which can be problematic given the limited space requirements of small satellites.

This paper investigates potential software solutions that could be used to encrypt and decrypt data on small satellites and other devices with …

Improving Satellite Security Through Incremental Anomaly Detection On Large, Static Datasets, Connor Hamlet, Matthew Russell, Jeremy Straub, Scott Kerlin

Jeremy Straub

Anomaly detection is a widely used technique to detect system intrusions. Anomaly detection in Intrusion Detection and Prevent Systems (IDPS) works by establishing a baseline of normal behavior and classifying points that are at a farther distance away as outliers. The result is an “anomaly score”, or how much a point is an outlier. Recent work has been performed which has examined use of anomaly detection in data streams [1]. We propose a new incremental anomaly detection algorithm which is up to 57,000x faster than the non-incremental version while slightly sacrificing the accuracy of results. We conclude that our method …

Scada System Security: Accounting For Operator Error And Malicious Intent, Ryan Kilbride, Jeremy Straub, Eunjin Kim

Jeremy Straub

Supervisory control and data acquisition (SCADA) systems are becoming more and more com-monplace in many industries today. Industries are making better use of software and large scale control systems to run efficiently, without the need for large amounts of oversight. Security is a particularly large issue with such systems, however. A human must still be involved to ensure smooth operation in the event of catastrophic system error, or unusual circumstanc-es. Human involvement presents problems: operators could make mistakes, configure the system to operate sub-optimally or take malicious actions. This imple-mentation of SCADA security aims to combat these problems.