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Radhwan Hussein Abdulzhraa Al-Sagheer

university of kufa

Author-ID : 2375642

Computer Science & IT Electrical & Electronics Engineering

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Botnet detection using ensemble classifiers of network flow Zahraa M. Algelal; Eman Abdulaziz Ghani Aldhaher; Dalia N. Abdul-Wadood; Radhwan Hussein Abdulzhraa Al-Sagheer
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Recently, Botnets have become a common tool for implementing and transferring various malicious codes over the Internet. These codes can be used to execute many malicious activities including DDOS attack, send spam, click fraud, and steal data. Therefore, it is necessary to use Modern technologies to reduce this phenomenon and avoid them in advance in order to differentiate the Botnets traffic from normal network traffic. In this work, ensemble classifier algorithms to identify such damaging botnet traffic. We experimented with different ensemble algorithms to compare and analyze their ability to classify the botnet traffic from the normal traffic by selecting distinguishing features of the network traffic. Botnet Detection offers a reliable and cheap style for ensuring transferring integrity and warning the risks before its occurrence.

Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier transform Computer Algorithm Radhwan Hussein Abdulzhraa AL-Sagheer; K. I. Mohammed; Alaa Abdul Hussein Mezher; Karrar Abdullah Mohammed Habeeban
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

One of the most prominent problems experienced by the oil facilities is leakage of oil from the pipes. This problem caused 55% of oil refineries to be shut off. Oil leakage is a common problem that often results in oil waste, damage, and hazard to public health. Therefore, it is necessary to use Modern technologies to reduce this phenomenon and avoid them in advance. Pipes that convey fluids have many uses in various industries and living facilities. Risk increases when the fluid inside the pipe is flammable. In this work, main case that cause damage to the pipe, longitudinal crack is investigate.This work presents a new experimental model based on computer applications with a Fast Fourier transform (FFT) algorithm for testing the effect of longitudinal crack length by frequency and ultrasonic measurements to measure fluid velocity. The method is used for plastic pipe with 2 cm internal diameter, 3 cm external diameter, and 1 m length. The modulus of elasticity of the material is 800 N/mm2 according to the ISO 178 test method. The pipe conveys oil with simply supported ends. The results show that FFT model shows better features compared with other ways that depends on visual inspection or localized measurements which gave an external perception of pipeline damage. FFT model offers a reliable and cheap style for ensuring pipeline integrity and warning the risks before its occurrence. From the observations made the fundamental natural frequency (FNF) decreases by increasing of crack length in the pipe that conveys fluid

Co-Authors Alaa Abdul Hussein Mezher Dalia N. Abdul-Wadood Eman Abdulaziz Ghani Aldhaher K. I. Mohammed Karrar Abdullah Mohammed Habeeban Zahraa M. Algelal

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Journal : International Journal of Electrical and Computer Engineering