Yoga and loss: an autoethnographical exploration of grief, mind, and body

The author explores her experience of yoga as a therapeutic tool in recovering from the impact of losing a close friend to suicide. The benefits of yoga include improved emotional self-regulation, a more positive relationship with self, and the emergence of a new personal physical reality. An autoethnographical approach permits a necessarily ambiguous and messy in-depth exploration of yoga as a resource for well-being. Nevertheless, it is hoped that it will serve as a means of promoting further study into the role of cultural resources, particularly body-based practices, as means of coming to terms with traumatic loss.

Threat analysis of IoT networks using artificial neural network intrusion detection system

The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and automobiles. However, as a paradigm, it is susceptible to a range of significant intrusion threats. This paper presents a threat analysis of the IoT and uses an Artificial Neural Network (ANN) to combat these threats. A multi-level perceptron, a type of supervised ANN, is trained using internet packet traces, then is assessed on its ability to thwart Distributed Denial of Service (DDoS/DoS) attacks. This paper focuses on the classification of normal and threat patterns on an IoT Network. The ANN procedure is validated against a simulated IoT network. The experimental results demonstrate 99.4% accuracy and can successfully detect various DDoS/DoS attacks.