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PII: S232251141400001-3

Presenting a Model for Making a Comparison of Bayesian Networks and Decision Tree Algorithms in Intrusion Detection Systems-Based on Data Mining 

ABSTRACT: By development of information technology, network security is considered as one of the main issues and has great challenges. Intrusion detection systems are a major component of a secure network. Traditional intrusion detection systems cannot adapt themselves to the new attacks thus today's intrusion detection systems have been introduced based on data mining. Identifying patterns in large volumes of data is a great help to us. Data mining techniques by identifying a binary label (normal packet, abnormal packet) and specifying attributes by classification algorithms can recognize the abnormal data. Therefore, the precision and accuracy of intrusion detection systems will increase, thereby network security increases. In this paper, we present a proposed model that examines various decision tree algorithms and Bayesian networks on their data sets in which the results of simulation suggest that J48 algorithm has the highest precision of 85.49% for the intrusion detection system.

Key words: abnormal packet, Bayesian networks, data mining, decision tree, intrusion detection systems, normal packet.

Original Research, C2
Ahmadi Kamarposhti M., Shaker M., Tayyebifar T., Firoozian M.
J. World. Elect. Eng. Tech., 3(1): 06-17, 2014.

ABSTRACT: In this paper the wind farm reactive power control strategy introduced by the STATCOM and SVC. First, the STATCOM system and its application in power systems and wind farms is shown. Second, the SVC system and its application in power systems and wind farms is shown. Then wind farm and a STATCOM and a SVC are modeled. Finally, strategies to control the reactive power delivered to the grid is shown in times of need. The results of the implementation of the control strategy are demonstrated by simulation. All results, obtained in the MATLAB software simulation.

Key words: Doubly-Fed Induction Generator (DFIG), Wind Farm, Reactive Power Control

Original Research, C3
Ebadi A., Mirzaie M., Gholamian S.A.
J. World. Elect. Eng. Tech., 3(1): 18-25, 2014.

Original Research, C4
Hosseinzadeh Soreshjani M., Sadoughi A. 
J. World. Elect. Eng. Tech., 3(1): 26-36, 2014.

Original Research, C5
Sadoughi A., Sadeghkhani I.
J. World. Elect. Eng. Tech., 3(1): 37-46, 2014.