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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How gender disparities drive imbalances in health care leadership

Mary Ann Keogh Hoss1, Paula Bobrowski2, Kathryn J McDonagh3, Nancy M Paris41Health Services Administration, Eastern Washington University, College of Business and Public Administration, Spokane, WA, USA; 2College of Liberal Arts, Auburn University, Stoneware Jug Auburn, AL, USA; 3Executive Relations, Hospira Inc, Lake Forest, IL, USA; 4Georgia Cent

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