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Full-Text Articles in Computer Engineering
How Iridium Satellite Tracker Model 9602-Lp Asset Affects Span Of Control In High Altitidue Balloning, Steven Hamby
How Iridium Satellite Tracker Model 9602-Lp Asset Affects Span Of Control In High Altitidue Balloning, Steven Hamby
2017 Academic High Altitude Conference
The Irdium Satelitte Network has greatly increased safety in the ballooning field by enabling a greater span of control in flight awarness and termination. This enhanced awareness stems from accurate high interval GPS coordinates that can be integrated into ground station tracking software. The Iridium Network creates the ability to send activation commands remotely with high reliabilty using emails. Additionally this feature has the ability to use local rf transmiters and recievers to increase the flexibilty of cutdown designs. The Iridium Modems provides significant coverage regardless of altitude and loss of ground communication. It is marketed at econmical price point …
2017 Eclipse Rfd-900 Still Image System, Tristan Running Crane, Uciel Garcia Olmedo, David Schwehr
2017 Eclipse Rfd-900 Still Image System, Tristan Running Crane, Uciel Garcia Olmedo, David Schwehr
2017 Academic High Altitude Conference
As part of the NASA Space Grant 2017 Eclipse Ballooning Project, Montana Space Grant Consortium designed a camera system capable of transmitting still images from a balloon borne payload to a remote ground station via a RFD-900 radio. This payload consists of a Raspberry Pi, a Raspberry Pi camera, custom power supply and a RFD 900MHz radio. This system was designed to record pictures at high and low resolution at altitude. The low resolution images could be selected for downlinking back to the ground via the radio, while the high resolution pictures were saved to the Raspberry Pi memory card. …
Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques, Prithviraj Sengupta, Venkata Udaya Sameer, Ruchira Naskar, Ezhil Kalaimannan
Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques, Prithviraj Sengupta, Venkata Udaya Sameer, Ruchira Naskar, Ezhil Kalaimannan
Annual ADFSL Conference on Digital Forensics, Security and Law
A lot of photographers and human rights advocates need to hide their identity while sharing their images on the internet. Hence, source–anonymization of digital images has become a critical issue in the present digital age. The current literature contains a number of digital forensic techniques for “source–identification” of digital images, one of the most efficient of them being Photo–Response Non–Uniformity (PRNU) sensor noise pattern based source detection. PRNU noise pattern being unique to every digital camera, such techniques prove to be highly robust way of source–identification. In this paper, we propose a counter–forensic technique to mislead this PRNU sensor noise …
Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou
Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou
Annual ADFSL Conference on Digital Forensics, Security and Law
In recent times, DNS tunneling techniques have been used for malicious purposes, however network security mechanisms struggle to detect them. Network forensic analysis has been proven effective, but is slow and effort intensive as Network Forensics Analysis Tools struggle to deal with undocumented or new network tunneling techniques. In this paper, we present a machine learning approach, based on feature subsets of network traffic evidence, to aid forensic analysis through automating the inference of protocols carried within DNS tunneling techniques. We explore four network protocols, namely, HTTP, HTTPS, FTP, and POP3. Three features are extracted from the DNS tunneled traffic: …
An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector, Max Gannon, Gary Warner, Arsh Arora
An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector, Max Gannon, Gary Warner, Arsh Arora
Annual ADFSL Conference on Digital Forensics, Security and Law
This paper presents a case study that occurred while observing peer-to-peer network communications on a botnet monitoring station and shares how tools were developed to discover what ultimately was identified as Mirai and many related IoT DDOS Botnets. The paper explains how researchers developed a customized protocol dissector in Wireshark using the Lua coding language, and how this enabled them to quickly identify new DDOS variants over a five month period of study.
Augmented Reality Technician Assistance Program, Jackson W. Volante, Kidron R. Filbrun, Jeffrey T. Deane, Andrew T. Carr, Nathan A. Harold, Daniel J. Eckley
Augmented Reality Technician Assistance Program, Jackson W. Volante, Kidron R. Filbrun, Jeffrey T. Deane, Andrew T. Carr, Nathan A. Harold, Daniel J. Eckley
The Research and Scholarship Symposium (2013-2019)
The Augmented Reality Technician Assistance Program is a proof-of-concept project for allowing a remote expert to communicate with and assist a field technician in completing procedures with which the technician may be unfamiliar. For example, an expert in Navy aircraft maintenance could advise an Air Force flight mechanic about performing repairs or maintenance on Navy aircraft. The end goal of our Cedarville computer science capstone project is to create an experimental prototype to deliver to the Air Force Research Laboratory. In our prototype the expert uses a Microsoft Surface Pro tablet to communicate via marked up still images with a …