Fall 2006

Abstract in progress.....

Summer 2006

Airborne Measurement of Snow Thickness Over Sea Ice

Abstract
Snow cover on sea ice plays an important role in the climate of the polar regions. Snow on the sea icereduces the heat exchange between the ocean and the atmosphere by its high albedo (reflectivity) and low thermal conductivity. The lower the albedo, the less solar energy is reflected back into the atmosphere. This energy is absorbed into the ocean. The warmer water will melt more sea ice, and eventually the warmer atmosphere above the warmer water will melt more of the sea ice in the polar regions. Better data on the extent and thickness of snow cover are therefore needed to understand thecondition and future behavior of sea ice.

Up until recently, the only practical means of observing snow cover over sea ice was by satellite remote sensing. The Advanced Microwave Scanning Radiometer (AMSRE) onboard NASA’s Aqua satellite does precisely this. To validate the measurements made by AMSR-E, the University of Kansas developed an ultra-wideband frequency-modulated continuous-wave (FM-CW) airborne radar to measure snow thickness over sea ice. This system was flown over the Arctic sea ice in March 2006 to measure the snow thickness.

Fall 2005- Spring 2006

Using Passive Network Discovery to Fingerprint Vulnerabilities within Ethernet Broadcast Frames.

This paper examines how open source embedded network tools were used to perform persistent internal audits of Ethernet Local Area Network broadcast traffic. The initial requirements to define the project phases were developed based on the analysis of each open source learning stage. Open Source UNIX version, Unbuntu, was selected as the platform to prototype because of its ease of use and usable business productivity, internet, drawing and graphics applications. To understand why hosts within the ONR LAB were experiencing a decrease in system performance and transmission speed. A Passive Network Discovery of Ethernet Broadcast Frames was captured and analyzed to determine if Local Area Network traffic between the local and foreign hosts is malicious or valid. The identification of remote active nodes and their system information was collected to build a resource map of all remote hosts requesting services from hosts within the ONR Lab and listing of local hosts listening ports and services running on those ports. The passive analysis approach was selected by the ONR UNIX Network Administration Team, because the collection of active LAN traffic would be not impact ECSU’s LAN/WAN assets. Moreover, this paper goal is to show that persistent packet monitoring of Ethernet traffic can identify weaknesses that reduce LAN performance and possibly harm valuable assets used to support major and/or general support systems.

Please feel free to contact me at ubwade@yahoo.com