ANOMALY NETWORK-BASED INTRUSION DETECTION SYSTEM USING A RELIABLE HYBRID ARTIFICIAL BEE COLONY AND ADABOOST ALGORITHMS

Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms

Intrusion detection systems (IDSs) has been considered as the main component of a safe network.One of the problems of these security systems is false alarm report of intrusion to the network and intrusion detection Collections accuracy that happens due to the high volume of network data.This paper proposes a new reliable hybrid method for an anomal

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The Interactions Between Digitalization, Innovation and Employment in European Companies: Insights from a Latent Class Analysis

There is increasing concern regarding the association between technological change and jobs.This study explores how different patterns of digitalization and innovation relate to job creation in European companies.We use data from the European Company Cold Air Intake Survey 2019 collected by Eurofound and Cedefop.We apply Latent Class Analysis (LCA)

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Efficient electron-induced removal of oxalate ions and formation of copper nanoparticles from copper(II) oxalate precursor layers

Copper(II) oxalate grown on carboxy-terminated self-assembled monolayers (SAM) using a step-by-step approach was used as precursor for the electron-induced synthesis of surface-supported copper nanoparticles.The precursor material was deposited by dipping the surfaces alternately in ethanolic solutions of copper(II) acetate and oxalic acid with int

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Why Socio-metabolic Studies are Central to Ecological Economics

Global material extraction has tripled since the 1970s, EQUAVE with more than 100 billion tonnes of materials entering the world economy each year.Only 8.6% of this is recycled, while 61% ends up as waste and emissions that is the leading cause of global warming, and large-scale pollution of land, rivers, and oceans.This paper introduces Socio-meta

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