Nonprofit brand heritage its ability to influence volunteer retention, engagement, and satisfaction

Volunteer organizations operate in a challenging environment and their management practices toward volunteers have become increasingly influenced by the private sector. This case study explores the impact of brand heritage on the experience of volunteering in such managed environments. We use data from the U.K. Scouts to show that brand heritage has a positive bearing on the level of engagement volunteers experience and on their reported attitude to the way(s) in which they are managed within the volunteer organization. We then use these findings to establish the salience of brand heritage to both long established and recently formed organizations, extending current volunteer management theory; consequently, we suggest volunteer managers utilize the power of brand heritage through unlocking its ability to retain engaged and satisfied volunteers.

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.