D.Sc. in IT Dissertation
Defense
Wednesday, July 20, 2016,
1:30 pm, YR-459
A Secured and Efficient
Mobile-Based Enterprise Network to Support Applications
Hanlin Zhang
Advisor: Dr. Wei Yu
Abstract: Cyber threats demonstrate extensive
network vulnerabilities with serious damage. Defending against these
cyber threats calls for network security situation awareness through distributed
monitoring, detection, and mitigation. In addition, because of exponential
growth in smart mobile devices, malware attacks on smart mobile devices
have been growing and pose serious risks to mobile device users. To
address those challenges, in this dissertation we develop a secured mobile based
enterprise network to support applications. To be specific, we first
implement an integrated defense system for carrying out cyber situation
awareness. To better detect insider attacks that marginally manipulate
network traffic over time, and to recover the system from attacks, we
implement a temporal-based detection scheme using the sequential
hypothesis testing technique. We then develop a malware detection system
for Android that uses a behavior-based detection approach to deal with
the detection of a large number of unknown malware.
In addition, with the secured enterprise network developed,
a number of applications can be supported. A recently new idea of UAV (Unmanned
Aerial Vehicle) delivery system from Amazon has altered the perceptions of our
daily life. Because of the inherent flexibility, ease of use and low cost, UAV
based delivery system will become tremendously popular in the near future. We
address the issue of how to schedule UAV resources to achieve an efficient
delivery service. Particularly, to reduce the overall delivery time, we develop
a weight-based scheduling scheme, which considers the priority and delivery
distance of service requests