Het Internet of Things (IoT) en cybersecurity zijn volop in beweging. Met slimme apparraten die steeds meer ingeburgerd geraken, neemt ook het risico op beveiligingsincidenten aanzienlijk toe. De bewustwording rond dit thema heeft voor de Belgische en Europese wetgever een impuls gecreëerd om het juridisch landschap rond IoT-cybersecurity grondig te bekijken en om traditionele opvattingen rond IT-beveiliging in vraag te stellen. Deze bijdrage brengt de juridische en technische inzichten over deze materie samen en geeft de nodige uitleg bij de toepassing van de relevante rechtsregels op het IoT. In deze analyse staat de bespreking van het begrip “passende technische en organisatorische maatregelen” centraal. De mate waarin beveiligingsmaatregels als “passend” kwalificeren, zal bepalend zijn voor de afwikkeling van schadeclaims en aansprakelijkheidsvorderingen.
ispartof: pages:67-72 ispartof: 2021 ISCA Symposium on Security and Privacy in Speech Communication 10-12 November 2021 pages:67-72 ispartof: 2021 ISCA Symposium on Security and Privacy in Speech Communication location:Online date:10 Nov - 12 Nov 2021 status: published
The Precision Insect Farming (PIF) research project at VIVES focuses in the first place on monitoring the rearing process of the mealworm (Tenebrio molitor) using temperature. The monitoring of the temperature which are not always visible at the surface in the rearing boxes can reveal certain behavioural patterns, important for the optimal and sustainable insect production. These patterns can be related to feeding state, mortality, developmental stage, etc. Moreover, the growth of the larvae could be monitored using temperature, given that a higher mass and density of larvae generate more heat. In our experiments the box temperature was measured with penetration thermometers, sensors and infrared (IR) cameras. However, towards automation heat mapping with IR cameras of the complete surface or installing permanent sensors which can regularly collect and send data are preferred. Initially sensors were used because we assumed that a heat camera could not observe what happens deeper into the substrate. However, the sensors were easily damaged by the mealworms and protecting them influenced the behaviour of the mealworms due to the increased surface area. Moreover, most activity is situated not deeper than 1 to 2 cm under the surface and this can be monitored perfectly with the heat camera. Therefore, we connected more sensitive heat cameras to our setup which automatically take pictures at certain timepoints. The preliminary results show that for example the speed of consumption of moisture source, aggregation behaviour in response to the environment, or because of the developmental stage of the mealworms and increase in mealworm biomass can be revealed using heatmaps ispartof: EAAP – 72nd Annual Meeting, Davos, Switzerland, 2021 location:Davos, Switzerland date:30 Aug - 3 Sep 2021 status: published
Advances in close-range and remote sensing technologies drive innovations in forest resource assessments and monitoring at varying scales. Data acquired with airborne and spaceborne platforms provide us with higher spatial resolution, more frequent coverage and increased spectral information. Recent developments in ground-based sensors have advanced three dimensional (3D) measurements, low-cost permanent systems and community-based monitoring of forests. The REDD+ mechanism has moved the remote sensing community in advancing and developing forest geospatial products which can be used by countries for the international reporting and national forest monitoring. However, there still is an urgent need to better understand the options and limitations of remote and close-range sensing techniques in the field of degradation and forest change assessment. This Special Issue contains 12 studies that provided insight into new advances in the field of remote sensing for forest management and REDD+. This includes developments into algorithm development using satellite data; synthetic aperture radar (SAR); airborne and terrestrial LiDAR; as well as forest reference emissions level (FREL) frameworks.