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 wall basket dangerous day-by-day, and most of the existing rule based and flow based detection methods may not be capable of detecting bot activitie

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Achieving sustained minimal disease activity with methotrexate in early interleukin 23-driven early psoriatic arthritis

Objectives Methotrexate (MTX) is currently the recommended first-line therapy for treating psoriatic arthritis (PsA), despite lacking Specialty Equipment clear evidence.No estimates of efficacy of MTX in usual care and no clear MTX responsive clinical or laboratory variables are currently available.This study describes the response to MTX monothera

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Isolation of a novel multiple-heavy metal resistant Lampropedia aestuarii GYF-1 and investigation of its bioremediation potential

Abstract Background Heavy metal contamination has been a severe worldwide SOCKS environmental issue.For industrial pollutions, heavy metals rarely exist as singular entities.Hence, researches have increasingly focused on the detrimental effect of mixed heavy metal pollution.Genome analysis of Lampropedia strains predicted a repertoire of heavy meta

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Assessing breeding duck population trends relative to anthropogenic disturbances across the boreal plains of copyright, 1960-2007

Impacts of anthropogenic disturbance on duck populations in the boreal forest is largely unknown but hypothesized to negatively influence abundance through top-down and bottom-up processes.We examined relationships between population trajectory of duck pairs and anthropogenic disturbances in the Boreal Plains ecozone of western copyright by first c

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