مطالب

Todays, Intrusion Detection Systems (IDS) are considered as key components of security networks. However, high false positive and false negative rates are the important problems of these systems. On the other hand, many of the existing solutions in the articles are restricted to class datasets due to the use of a specific technique, but in real applications they may have multi-variant datasets. With the impetus of the facts, this paper presents a new anomaly based intrusion detection system using J48 Decision Tree, Support Vector Classifier (SVC) and k-means clustering algorithm in order to reduce false alarm rates and enhance the system performance. J48 decision tree algorithm is used to select the best features and optimize the dataset. Also, an SVM classifier and a modified k-means clustering algorithm are used to build a profile of normal and anomalous behaviors of dataset. Simulation results on benchmark NSL-KDD, CICIDS2017 and synthetic datasets confirm that the proposed method has significant performance in comparison with previous approaches.

INTRODUCTION: Health and healthcare services are of paramount importance in every society and are regarded as the essential needs of people. The present study aimed to assess, describe, and explore the model of human resource development and empowerment adopting a service provision approach in Ilam University of Medical Sciences and Health Services in 2019. METHODS: In the current study, theoretical sources were collected using systematic and library studies, and experts' opinions were collected through open-ended interviews. Thereafter, these sources were analyzed using grounded theory and structural modeling. In this qualitative study, a researcher-made checklist was provided to experts to identify the internal relationship among the components of each variable. The exploratory approach was used in the current study since the focus was on the use of qualitative methods. To identify the dimensions of the model and its associated factors, the indicators were firstly extracted using library studies. The Delphi method was then performed in three steps to monitor the indicators and obtain the final dimensions of the model. The statistical population of the study included all managers and experts of the human resources unit with more than 15 years of work experience in the studied university. MAXQDA software was used to record and manage the codes, and finally, the concept model was designed. FINDINGS: After analyzing the studies and conducting interviews with experts, "employee development and empowerment" was selected as the main category. It encompasses such issues as training and productivity of human resources, development of personnel capabilities, sustainable development of human capital, highlighting the importance of strategic human resource management by the management system, senior managers' support from human resources, and the independence of human resources unit. The relationship of other classes with the central class can be realized in five ways: causal conditions, control system, motivation, and appropriate counseling lead to the development and empowerment of employees. CONCLUSION: Healthcare organizations assume more importance since their human resources are mostly experts in charge of specialized activities. As evidenced by qualitative and library studies, as well as the conducted interviews, the development and empowerment of human resources in Ilam University of Medical Sciences and Health Services is positively correlated with the service provision approach and exerts a significant impact on it.