The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects can be empowered to create, receive, and exchange data in a seamless manner. Various IoT applications focus on automating different tasks and are trying to empower the inanimate physical objects to act without any human intervention. The existing and upcoming IoT applications are highly promising to increase the level of comfort, efficiency, and automation for the users. To be able to implement such a world in an evergrowing fashion requires high security, privacy, authentication, and recovery from attacks. In this regard, it is imperative to make the required changes in the architecture of the IoT applications for achieving end-to-end secure IoT environments. In this paper, a detailed review of the security-related challenges and sources of threat in the IoT applications is presented. After discussing the security issues, various emerging and existing technologies focused on achieving a high degree of trust in the IoT applications are discussed. Four different technologies, blockchain, fog computing, edge computing, and machine learning, to increase the level of security in IoT are discussed. INDEX TERMS Internet of Things (IoT), IoT security, blockchain, fog computing, edge computing, machine learning, IoT applications, distributed systems.

A reasonably good network intrusion detection system generally requires a high detection rate and a low false alarm rate in order to predict anomalies more accurately. Older datasets cannot capture the schema of a set of modern attacks; therefore, modelling based on these datasets lacked sufficient generalizability. This paper operates on the UNSW-NB15 Dataset, which is currently one of the best representatives of modern attacks and suggests various models. We discuss various models and conclude our discussion with the model that performs the best using various kinds of evaluation metrics. Alongside modelling, a comprehensive data analysis on the features of the dataset itself using our understanding of correlation, variance, and similar factors for a wider picture is done for better modelling. Furthermore, hypothetical ponderings are discussed for potential network intrusion detection systems, including suggestions on prospective modelling and dataset generation as well.

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Purpose: To present study the impact of yoga intervention on exam anxiety, mindfulness, attention, and memory in school-going children. Methodology: The study started with the camp organized by a Principal of RA. Geeta Sr. Secondary School. The study population was taken from those interested to take part in the one-month yoga intervention on their own will both male and female with the age range of 13 to 15 years. Among the 80 students collected data, 40 subjects attended the one-month yoga intervention program. The intervention included seated mindfulness, breathing, loosening exercises, asana, and relaxation techniques. The pre-data were collected 1st day before the intervention, on the 30th day from the first day of the intervention. Test anxiety, mindfulness, attention & memory test were assessed before and after the intervention. Data were analyzed using R-Studio. Findings: Exams were recognised as a big source of concern to many children, and the overall prevalence of exam anxiety shows to be increasing, possibly due to increased exams in schools and pressure of studies. Previous studies have reported the effects of Yoga in school-going children showing physical, cognitive, emotional, memory, attention, and mindfulness benefits. Research limitations: The study was limit to Grade 8&9, 13-15-year-old girls and boys who could do asana. The study excluded those who could not do asana due to physical challenges. Implications: Present outcomes propose that the yoga-based intervention illustrated a positive effect on examination anxiety, mindfulness, attention; and memory in school children. Yoga-based group of participants has shown better confront in exam anxiety, enhance mindfulness, attention; and memory. These yoga practices can be suggested to school-going children for better performance in academics and to attain joyful learning.