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In this paper, a deep learning model has been developed to detect whether malware/spyware leaks data to command and control servers and a new dataset has been obtained from real-time environment for test of the model. In addition, effect of the size of the data set and hyperparameters such as the number of layers of the deep neural network on the success rate have been investigated. In this study, real-time data for harmful and normal İnternet traffic have been obtained in the application layer and 100 features have been selected. The developed deep learning model has been applied to 16,000 sample obtained from real-time Internet traffic. From the experimental results, accuracy rates of 90% to 94% were obtained with various number of samples and various number of layers in the deep learning model. It has been seen from the experimental results that increase the number of samples increases the accuracy rate. As well as, it has been seen that as increase the number of layers in the deep neural network the accuracy rate increased first, further increase the hidden layers did not affect the success rate. In this study, more distinctive and important features have been investigated than others in the literature and the results have been tested.

International Data Science & Engineering Symposium
IDSES

Emrullah ERGİNAY M. Ali AKÇAYOL

Ulaşımda raylı sistemlerin kullanımı gün geçtikçe artmaktadır. Buna bağlı olarak bu araçlardaki yol tutuşu ve konfor ön plana çıkmaktadır. Bu çalışmada çeyrek araç modellemesi yapılarak raylı sistem aracının pasif süspansiyon sistemi ele alınmıştır. Süspansiyon sisteminde havalı yay modellemeleri incelenerek Nishimura hava yayı modeli kullanılmıştır. Havalı yayların uzunluğu kullanımına göre yeni (234 mm), 6 aylık (231 mm) ve sınır değer (226 mm) olmak üzere 3 farklı kategoride ele alınmıştır. Her bir kategoride farklı çap değerleri kullanılarak vagon, boji ve tekerleğe ait konum, hız ve ivme grafikleri elde edilmiştir. Bu çalışmada modelleme ve grafikler için MATLAB/Simulink programı kullanılmıştır. Elde edilen grafik sonuçlarına göre, hava yayının çapı arttıkça konum, hız ve ivme grafiklerinin genliklerinde azalmaların meydana geldiği gözlemlenmiştir. The use of rail system for transportation is increasing day by day. Therefore handling and comfort have been prominent in these vehicles. In this study the passive suspension system of the rail system vehicles is discussed by using the quarter car modelling. Air spring modellings for the suspension system have been examined and Nishimura air spring model has been used. The length of air springs is addressed in three categories when are new (234 mm), 6 month old (231 mm) and the limit value (226 mm) by usage. The graphers for displacement, velocity and acceleration of the wagon, bogie and wheel have been obtained by using different diameter values in every category. In this study, MATLAB/Simulink program has been used for the modelling and graphics. It is been observed that as the diameter of the air spring increases, the amplitude of the displacement, velocity and acceleration graphics decreases the graphic results obtained.

International Symposium on Railway System Engineering
ISERSE

R. Merve BÜYÜKAKYOL Engin DEMİR M. Ali AKÇAYOL