The Taylor Satellite (TSAT) is a student-developed dual Cube-Sat Unit nanosatellite participating in NASA’s ELANA-5 (Educational Launch of Nanosatellites). TSAT was selected by NASA in a competitive program with other universities and was the only undergraduate program chosen.
In applying machine learning to malware identification, different types of features have proven to be successful. These features have also been tested with different kinds of classification methodologies and have had varying degrees of success.
While a plethora of security methods are available to end-users, there is a lack of adoption. We argue that one of the primary reasons for this is the absence of proper feedback within security-sensitive situations, a problem we seek to solve with a graphical representation of security-related consequences.
The vast majority of hosts on the Internet, including mobile clients, are running on one of three major operating system families. Malicious operating system kernel software, such as the code introduced by a kernel rootkit, is strongly dependent on the organization of the victim operating system.