Intrusion Detection in SDN-Based Networks: Deep Recurrent Neural Network Approach

Software Defined Networking (SDN) is emerging as a key technology for future Internet. SDN provides a global network along with the capability to dynamically control network flow. One key advantage of SDN, as compared to the traditional network, is that by virtue of centralized control it allows better provisioning of network security. Nevertheless, the flexibility provided by SDN architecture manifests several new network security issues that must be addressed to strengthen SDN network security. So, in this paper, we propose a Gated Recurrent Unit Recurrent Neural Network (GRU-RNN) enabled intrusion detection system for SDN. The proposed approach was tested using the NSL-KDD and CICIDS2017 dataset, and we achieved an accuracy of 89% and 99% respectively with low dimensional feature sets that can be extracted at the SDN controller. We also evaluated network performance of our proposed approach in terms of throughput and latency. Our test results show that the proposed GRU-RNN model does not deteriorate the network performance. Through extensive experimental evaluation, we conclude that our proposed approach exhibits a strong potential for intrusion detection in the SDN environments

Impact of Health Education Package on Knowledge and Attitude Regarding Transmission of Tuberculosis and Factors Contributing to the Treatment Compliance among Tuberculosis Patients in Urban Community of Sikar City (Rajasthan)

Wellbeing is a basic human right and an overall social objective. As understanding of wellbeing and infection alongside conveyance of value health awareness is premise though wellbeing couldn't care less organizations. Tuberculosis (TB) remains a major global health problem. The latest estimates showed that there were almost 9 million new cases in 2011 and 1.4 million TB deaths. This is despite the availability of treatment that will cure most cases of TB. India and China combined have almost 40% of the world’s TB cases. 0.3 Million death in India in 2011, 3.1 million prevalence, 2.2 million incidences in India 2011. In India, tuberculosis is more prevalent in adults than in children. It affects 80% of adults at the age group (15-54 years).In India poor persons suffers with tuberculosis. The majority of its victims are migrant laborers, slum area, backward community areas and tribal area. Low living conditions, undernourished small housing and overcrowding are the main reasons for the spread of the disease. Hence Since the researcher sought to Assess The Impact of health education package on Knowledge and Attitude regarding transmission of Tuberculosis and factors contributing to the treatment compliance. A pre-experimental design was adopted for present study. A pre-experimental design was prepared to develop a plan or strategy that would guide the collation and analysis of data. Final study was conducted from 25/10/2020 to 15/01/2021, to assess the knowledge regarding transmission of Tuberculosis and factors contributing to the treatment. Sample were selected from RNTCP department of hospital, Pretest was conducted on 600 sample from 25/10/2020 to 15/11/2020 with a detailed scheduled plan by using a structured knowledge questionnaire. Final results shows that pretest mean percentage knowledge score found to be 44.71% with mean and SD of 21.91 ± 2.27. In the post test mean percentage knowledge score was 80.06% with mean and SD of 39.23±2.23. The mean percentage ...</jats:p

Monitoring and maintenance of telecommunication systems : Challenges and research perspectives

In this paper, we present challenges associated with monitoring and maintaining a large telecom system at Ericsson that was developed with high degree of component reuse. The system constitutes of multiple services, composed of both legacy and modern systems that are constantly changing and need to be adapted to changing business needs. The paper is based on firsthand experience from architecting, developing and maintaining such a system, pointing out current challenges and potential avenues for future research that might contribute to addressing them. © Springer Nature Switzerland AG 2019