Clust-IT:Clustering-Based Intrusion Detection in IoT Environments

Low-powered and resource-constrained devices are forming a greater part of our smart networks. For this reason, they have recently been the target of various cyber-attacks. However, these devices often cannot implement traditional intrusion detection systems (IDS), or they can not produce or store the audit trails needed for inspection. Therefore, it is often necessary to adapt existing IDS systems and malware detection approaches to cope with these constraints. We explore the application of unsupervised learning techniques, specifically clustering, to develop a novel IDS for networks composed of low-powered devices. We describe our solution, called Clust-IT (Clustering of IoT), to manage heterogeneous data collected from cooperative and distributed networks of connected devices and searching these data for indicators of compromise while remaining protocol agnostic. We outline a novel application of OPTICS to various available IoT datasets, composed of both packet and flow captures, to demonstrate the capabilities of the proposed techniques and evaluate their feasibility in developing an IoT IDS

mHealth and big-data integration: promises for healthcare system in India

BACKGROUND The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to high-quality access care. Mobile technologies, Internet of Things and 5G connectivity may hold the key to supporting increased velocity, variety and volume of healthcare data. OBJECTIVE The purpose of this study is to identify and analyse challenges related to the current status of India’s healthcare system—with a specific focus on mHealth and big-data analytics technologies. To address these challenges, a framework is proposed for integrating the generated mHealth big-data and applying the results in India's healthcare. METHOD A critical review was conducted using electronic sources between December 2018 and February 2019, limited to English language articles and reports published from 2010 onwards MAIN OUTCOME This paper describes trending relationships in mHealth with big-data as well as the accessibility of national opportunities when specific barriers and constraints are overcome. The paper concentrates on the healthcare delivery problems faced by rural and low-income communities in India to illustrate more general aspects and identify key issues. A model is proposed that utilises generated data from mHealth devices for big-data analysis that could result in providing insights into the India population health status. The insights could be important for public health planning by the government towards reaching the Universal Health Coverage. CONCLUSION Biomedical, behavioural and lifestyle data from individuals may enable customised and improved healthcare services to be delivered. The analysis of data from mHealth devices can reveal new knowledge to effectively and efficiently support national healthcare demands in less developed nations, without fully accessible healthcare systems

Learning to mitigate emissions : relevance of research with Maori hapu and iwi

Currently, there is insufficient research on how New Zealand can achieve environmental sustainability through Māori iwi (tribe) and hapū (subtribe) relationships with land and sea, via the Zero Carbon Act. It is now agreed emissions from human activities negatively impact our atmosphere and climate with increasing frequency and ferocity. Applied research is vital to accelerate emissions mitigation action, as industry effects are considerable. The Greenhouse Gas Inventory estimates that the agriculture and energy sectors alone contribute almost 90% of New Zealand’s gross emissions, contributing to global warming. The purpose of New Zealand’s Climate Change Response (Zero Carbon) Amendment Act 2019 is to provide a climate change policy framework to mitigate greenhouse gas emissions under the Paris Agreement. The Act is a ‘first step’ to carbon neutrality and nature restoration, but concrete, urgent climate joint-action is needed to achieve targets under the Act’s mitigation framework. This paper endeavours to address the research gap by considering specific beneficial partnerships that can be realised by co-creating research outcomes with hapū and iwi in Aotearoa, New Zealand and the cascading effect that the Act will have on other legislation, where mana whenua perspectives and implications are key considerations for the achievement of carbon mitigation targets. The importance of such a focus is in unlocking the potential of mātauranga (Māori knowledge systems), with relational co-creation through research. Stakeholders of the newly established New Zealand Institute of Skills and Technology (NZIST) must diligently teach, model and research sustainability in every discipline, as employers demand graduates with environmental acumen

Innovative models and partnership contribution for sustainable economic growth

Unlocking the potential of New Zealand’s knowledge base, its people and diverse resources will be vital in realising socio-economic and environmental benefits for Aotearoa, New Zealand. This small nation has the potential to be a world-class leader in industries that use niche technologies and leverage partnerships. Some leading New Zealand firms are already championing this cause through their membership of the Climate Leaders Coalition (CLC), promoting business leadership and collective action on climate change. The synergistic model employs partnership contribution to propel growth, using knowledge, people and resources in a future-directed approach for industries facing strategic challenges in an environment of disequilibrium. This position paper draws on a desktop review of literature, organisational and media reports, and national data to show how some members of the CLC are leading action in emissions mitigation and sustainability. The findings evidence the many ways organisations can leverage partnerships and innovation to align with signals from government and industry, even in some of the most challenging contexts. The paper concludes with an example from the construction industry, with clear implications for our future combined tertiary education organisation, and its mandate to create a vocational education system that is geared for the needs of the future

Intrapreneurship in the time of Covid

For individuals and firms, traditional sources of competitive advantage are being eroded. Competitive advantage today is not built upon product markets, but in upstream markets of expertise, with control of key intangible assets, alongside dynamic capabilities. Intrapreneurship is seen as an important method for organisations to simultaneously nurture existing business while developing new business creatively and strategically. Covid-19 restrictions have forced organisations to look to their ‘intangible capabilities’ to reassess and redeploy them for transformational, value-added outcomes. An underutilised ally is intrapreneurship, where individuals in an organisation break convention to create opportunities and revenue streams. An intrapreneurial culture can be the foundation of sustainable competitiveness for both firms and their business ecosystems, and even the communities they impact. This paper re-investigates intrapreneurship in this new Covid era as a source of new, sustainable opportunity and competitive advantage; in this time of Covid, a contextual orientation approach to intrapreneurship offers organisations new solutions guided by expertise within the firm. We find that now is the time to foster intrapreneurial processes to leverage internal strengths, resource access and expertise