A field survey involving 62 camel butchers from Souf region the Algerian northern Sahara was implemented   in   order to establish a typology of camel butcher and collect   data   on camel meat marketing, the diversity in marketing practices and camel meat marketplace. The collected data allowed to identify 4 homogeneous groups of butchers well distinguished between them after cluster analysis. (specialized young camel butchers, non-specialized rural butchers, traditional non-specialized urban butchers, modern and old urban specialized butchers). The present study confirmed the predominance of beef meat compared to camel meat among consumers, camel meat consumption being less successful in its environment.  In-depth studies on camel meat sector are mandatory to identify the bottlenecks invalidating the promotion of the camel meat consumption.

Abstract. This paper presents a malware classification approach which aims to improve precision and support scalability. To this end, an hybrid approach combining both static and dynamic features is adopted. The hybrid approach has the advantage of being a complete and robust solution to evasion techniques used by malware writers. The proposed methodology allowed achieving a very promising accuracy of 99.41% in classifying malware into families while considerably reducing the feature space compared to competing approaches in the literature.

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