Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize traffic for a number of purposes, from guaranteeing the Quality of Service (QoS), to monitoring safety, as well as monitoring and detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, and text communication among browsers. Since WebRTC does not include any characteristic pattern for semantically based traffic recognition, this paper proposes models for recognizing traffic generated during WebRTC audio and video communication based on statistical characteristics and usage of machine learning in Weka tool. Five classification algorithms have been used for model development, such as Naive Bayes, J48, Random Forest, REP tree, and Bayes Net. The results show that J48 and BayesNet have the best performances in this experimental case of WebRTC traffic recognition. Future work will be focused on comparison of a wide range of machine learning algorithms using a large enough dataset to improve the significance of the results.
In this work, both farm milk samples (n=3), as well as samples of milk from Bosnia and Herzegovina market (n=7), were analyzed to quantify the presence of polychlorinated biphenyls. The PCB content (as Aroclor 1254) was determined in the fat extracts using the PCB ELISA kit, according to the procedure provided by the manufacturer. The total PCB concentrations (as Aroclor 1254) in individual milk sample ranged from <LoD to 787.74 μg/kg lipid weight (l.w.). The calculated Ʃ6PCB were ranged from <LoD to 187.72 μg/kg l.w. In one out of ten analyzed samples the presence of PCB higher than maximum limit (ML) was found. However, the absorbance measured for this sample is out of the linear range. In this case the sample can be considered as a suspect and should be analyzed with the quantitative confirmatory method. In other milk samples the concentration of PCB was in the acceptable range, and far below the ML.
Ova stranica koristi kolačiće da bi vam pružila najbolje iskustvo
Saznaj više