D.Sc. in IT Dissertation Defense
Wed 7/20 at 1:30pm in YR459
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
