C3L Security

Introduction The  ETSI IoT Workshop  took place in ETSI premises (Sophia Antipolis, FR), started on  22 October and ended on 25 October . It included an essential update on the major IoT standardisation, such as those ongoing in ETSI, oneM2M, SmartM2M and 3GPP. An essential element of deploying IoT services are the choice and the availability of IoT communication technologies such as those developed by the 3GPP partnership project (NB-IoT, LTE-M). Selecting the right IoT connectivity technologies, that are optimised for multiple IoT solutions and work at scale, is essential to ensuring future-proof and sustainable IoT deployments. Interoperability and interworking remain key factors for the successful development of IoT. This is particularly true when it comes to ensuring security and semantic interoperability. The standards being developed in ETSI, oneM2M and 3GPP, act as the essential “glue" between the various technologies that are present in the complex IoT ecosystem.

Introduction While I was checking out train routes from London to Hong Kong/Shanghai and Japan the topic of cybersecurity measures I would or might need also crossed my mind. When thinking it over and looking up advice there are few key things that a traveller should keep in mind when it comes to their own cybersecurity when travelling abroad. When large when travelling through areas in the EU the level of risk is low while to travel outside the EU depending whether they are friendly or non-friendly countries the risk can be much higher. Higher risk countries include obvious ones like Russia and China but also depending on your profession can possibly now include the USA. (Journalists being harassed at US airport as they go through customs and passport control seems to be becoming more common) If you already follow cybersecurity best practises the vast majority of the time you don't need to do much else and further measures you might take will depend on where your travelling to a

Introduction On the 15th October annual, IET 2019 healthcare lecture took place. This short post will give an overview of the topics that were presented and thought of how they might benefit eHealth in general and ongoing standardisation work. The talks include image recognition for medical diagnosis, cfNAs and cfDNA detection using hydrogels, machine learning for medical data and the SPHERE Project.  Advances in Diagnostics Image recognition ( Marica Muffoletto) Mostly the interpretations of medical data are being done by a medical expert. In terms of image interpretation by a human expert, it is quite limited due to its subjectivity, the complexity of the image, extensive variations exist across different interpreters and fatigue. After the success of deep learning in other real-world application, it is also providing exciting solutions with good accuracy for medical imaging and is seen as a key method for future applications in the health sector. The aim is to reduc