Feature Extraction and Analysis of Binaries for Classification

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.https://scholar.dsu.edu/research-symposium/1027/thumbnail.jp

Bust-A-Binary: Active Attribution and Analysis of Malware Campaigns

https://scholar.dsu.edu/research-symposium/1015/thumbnail.jp

Which medications benefit patients with diastolic heart failure?

Angiotensin-converting enzyme inhibitors (ACEIs), propranolol, statins, furosemide, and some angiotensin receptor blockers (ARBs) benefit patients. Medications that reduce mortality in diastolic heart failure include ACEIs (strength of recommendation [SOR]: C, 1 prospective cohort trial with matched controls), propranolol (SOR: B, 1 randomized controlled trial [RCT]), and statins (SOR: C, 1 prospective cohort trial). Furosemide improves symptoms of heart failure and quality of life (SOR: C, 1 RCT, using cohort data). ARBs show mixed results: candesartan decreases hospital admissions (SOR: B, 1 large RCT); losartan improves exercise duration and quality of life (SOR: B, 2 small RCTs); irbesartan doesn't improve heart failure symptoms or other outcomes (SOR: B, 1 large RCT)

A community-sourced glossary of open scholarship terms

Open scholarship has transformed research, and introduced a host of new terms in the lexicon of researchers. The ‘Framework for Open and Reproducible Research Teaching’ (FORRT) community presents a crowdsourced glossary of open scholarship terms to facilitate education and effective communication between experts and newcomers

A community-sourced glossary of open scholarship terms

Open scholarship has transformed research, and introduced a host of new terms in the lexicon of researchers. The ‘Framework for Open and Reproducible Research Teaching’ (FORRT) community presents a crowdsourced glossary of open scholarship terms to facilitate education and effective communication between experts and newcomers

A community-sourced glossary of open scholarship terms.

From PubMed via Jisc Publications RouterPublication status: aheadofprin