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Feature Extraction and Analysis of Binaries for Classification
Micah Flack
The research project, Feature Extraction and, Analysis of Binaries for Classification, provides an in-depth examination of the features shared by unlabeled binary samples, for classification into the categories of benign or malicious software using several different methods. Because of the time it takes to manually analyze or reverse engineer binaries to determine their function, the ability to gather features and then instantly classify samples without explicitly programming the solution is incredibly valuable. It is possible to use an online service; however, this is not always viable depending on the sensitivity of the binary. With Python3 and the Pefile library, we can gather the necessary features to begin choosing different classifier models from the Scikit-learn library for machine learning. This all addresses the issue of local automated classification, and we present several different classifier models, datasets and methods that allow for the classification of unknown binaries with a high degree of accuracy for predicting malware and benignware.
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Accessing the Impact of IT Budgets on Hospital Performance: A Panel Data Analysis
Giridhar Reddy Bojja, and Jun Liu
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Bust-A-Binary: Active Attribution and Analysis of Malware Campaigns
Micah Flack, Nathan Kramer, Zayn Snyder, Ezra Chona, Matthew Steckelberg, and Bramwell Brizendine
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Comparison of 2 Alternative Systems for Measuring Vertical Jump Height
Mariah Fixen and Scott Staiger
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Detecting and Mitigating Cyberattacks Targeting Healthcare Transactions
Robert Cannistra, Josh Stroschein, and Yong Wang
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EFFECTIVENESS OF TRANSFER LEARNING ON MEDICAL IMAGE CLASSIFICATION USING CHEST-XRAY 14 DATASET
James Boit and David Zeng
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Factors influencing curriculum adoption in undergraduate cybersecurity programs
Todd Whittaker and Cherie Noteboom
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How Does the Visualization of Data Change how it is Interpreted?
Alexis VanderWilt and Cherie Noteboom
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Impact of Backward Design on 4th Grade Mathematics Students’ Understanding of Adding and Subtracting Whole Numbers
Andrew Fiegen and Kindra Schneider
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Impact of Social Networks on the Spread of Disease
Alexis VanderWilt, Mark Spanier, and Jeffrey S. Palmer
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INCORPORATING SEQUENTIAL FEATURE MAPS FEEDING INTO MULTIPLE PATHS
Rajesh Godasu, David Zeng, James Boit, and Seema Bhandari
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Measuring the Authenticity of Mixed-Reality Teaching Environments
Kevin Smith, Dan Klumper, and Andrew Fiegen
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Multi-path Sequential Fine-tuning of Pre-trained Models for Medical Image Classification Part I
David Zeng, James Boit, Rajesh Godasu, and Seema Bhandari
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Predicting Hospital Readmissions of Diabetic patients - A Machine Learning Approach
Giridhar Reddy Bojja and Omar El-Gayar
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Profiling Volatile Constituents of Homemade Preserved Foods Prepared in Early 1950s South Dakota (USA) Using Solid-Phase Microextraction (SPME) with Gas Chromatography–Mass Spectrometry (GC-MS) Determination
Lucas Leinen, Vaille Swenson, Hope Juntunen, Scott McKay, Samantha O'Hanlon, Patrick Videau, and Michael Gaylor
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Profiling Volatile Emissions from Sewage Sludge Land-Applied Across Washington State (USA) Using Headspace Sampling with Gas Chromatography-Mass Spectrometry (GC-MS) Determination
Kaytlyn Schaefer, Lucas Leinen, Vaille Swenson, Bailey Moody, Hope Juntunen, Scott McKay, Silvia Beurmann, Samantha O'Hanlon, Richard Honour, Robert Hale, Patrick Videau, and Michael Gaylor
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SMART AGRICULTURE BEYOND INDUSTRY: ANALYZING THE FUTURE OF AGRICULTURE THROUGH SOCIAL MEDIA INSIGHTS
Martinson Ofori and Omar El-Gayar
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The Impact of the Minimum Leverage Ratio on South Dakota Community Banks
Yen-Ling Chang and Daniel Talley
The annual Research Symposium at DSU is an opportunity for faculty and students to challenge each other to ask better questions, embed them in excellent research design, share compelling findings, and renew this process with persistent curiosity.
The Symposium hosts a diverse cross-section of ongoing undergraduate and graduate research happening at DSU, and often includes supplementary programming such as guest speakers and demonstrations.
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