BOTNET DETECTION USING GRAPH-BASED FEATURE CLUSTERING

Botnet detection using graph-based feature clustering

Abstract Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more.Botnets are becoming more sophisticated and dangerous day-by-day, and most of the existing rule based and flow based detection methods may not be capable of detecting bot activities in an effi

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Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review

Objective To STYLING MILK review biomarker discovery studies using omics data for patient stratification which led to clinically validated FDA-cleared tests or laboratory developed tests, in order to identify common characteristics and derive recommendations for future biomarker projects.Design Scoping review.Methods We searched PubMed, EMBASE and

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A Comparison of Cadastre in Slovakia and Poland

Many analogies can be drawn from the Shaving Soap cadastre in Poland and Slovakia, because of the partly shared history of the Austro-Hungarian Empire, World Wars I and II, and the influence of the Communist regime.However, its development over the years has taken different forms and rules of operation in both countries.Currently, from a European p

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