Network intrusion detection system (NIDS) is a software system which plays an important role to protect network system and can be used to monitor network activities to detect different kinds of attacks from normal behavior in network traffics. A false alarm is one of the most identified problems in relation to the intrusion detection system which can be a limiting factor for the performance and accuracy of the intrusion detection system. The proposed system involves mining techniques at two sequential levels, which are: at the first level Naïve Bayes algorithm is used to detect abnormal activity from normal behavior. The second level is the multinomial logistic regression algorithm of which is used to classify abnormal activity into main four attack types in addition to a normal class. To evaluate the proposed system, the KDDCUP99 dataset of the intrusion detection system was used and K-fold cross-validation was performed. The experimental results show that the performance of the proposed system is improved with less false alarm rate.
The <span>internet of things (IoT) refers to the physical tools that are embedded with Internet, software, electronics, sensors and network connectivity. This involves many different systems, for example, healthcare, smart home and so on. The security problem of the Internet of Things and the Smart Home infrastructure is considered, which has become an urgent issue due to the high popularity, low systemic research and the growth of threats to "us" (people seeking comfort) from "them" (surrounding things, which becoming increasingly intelligent, automated). The research is based both on a systemic, infrastructure understanding, and on an architectural, problem-oriented level. Key security risks for the infrastructure of various types-software and technical, technological, socio-psychological and others-were analyzed. The evolutionary problems of the internet of things and factors influencing the vulnerability of infrastructures have been investigated. In addition to traditional network security tasks, specific tasks (direct and reverse, for identification) are highlighted in IoT interactions and environments. This paper provides an overview of the related work in IoT, together with the open challenges and future research directions using Arduino platform (such as "thick server-thin client") to simulation modeling of time delay probability distribution based on identified simple model.</span>
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