Cyber security is one of the key priorities in the modern digitalised and complex network totality. One of the major domains of interest is the healthcare sector where a cyber incident may cause unprecedented circumstances. In the healthcare domain there are abundant networked systems, software and hardware, which may be vulnerable for a cyber intrusion […]
Käsikirjan tarkoitus on auttaa suomalaisia terveydenhuollon organisaatioita kehittämään kyberhäiriöiden hallinnan prosessejaan ja toimintaohjeitaan, jotta voidaan varmistaa yhteiskunnan kannalta kriittisen terveydenhuollon toiminnan jatkuvuus myös kyberhyökkäysten tapahtuessa. Käsikirja liittyy kiinteästi koronakriisin aiheuttamien haasteiden ratkaisemiseen kyberhäiriöiden hallinnassa. Käsikirjan sisältämät prosessit, ohjeet ja tarkistuslistat on esitetty helposti käytäntöön vietävässä muodossa. Tekniset asiasisällöt ja termit on selitetty lukijalle. Käsikirjan kohderyhmänä […]
High-performance computing (HPC) is defined as the ability to process a massive amount of data and perform complex calculations at high speeds. Technologies such as DA and AI need the big amount of data and computing resources. Especially the deep learning (DL) and neural network development need lots of computational power which cannot be achieved […]
Cyber security MOOCs (Massive Open Online Courses) can enable lifelong learning and increase the cyber security competence of experts and citizens. This paper contributes with a review of existing cyber security MOOCs and MOOC quality assurance frameworks. It then presents quality criteria, which we elicited for evaluating whether cyber security MOOCs are worthy to be […]
The cyber domain and all the interdependencies between networked systems form an extremely complex ensemble. Incidents in the cyber domain may have an abundance effect on the physical domain. For example, a cyber attack or an intrusion against an electricity system may affect the performance of healthcare system as well. For organisation’s cyber resilience, know-how […]
Modern digitalized cyber domains are extremely complex ensemble. Cyber attacks or incidents against system may affect capricious effects for another system or even for physical devices. For understanding and training to encounter those effects requires an effective and complex simulation capability. Cyber Security Exercises are an effective expedient for training and learning measures and operations […]
This study aims to find a list of methods to fool artificial neural networks used in medical imaging. We collected a short list of publications related to machine learning model fooling to see if these methods have been used in the medical imaging domain. Specifically, we focused our interest to pathological whole slide images used […]
In the modern society almost all services are based on data-networks and networked systems. Especially through the growing digitalization an increasing number of services is connected to data-networks. One example of a highly digitalized domain is the healthcare sector, where a cyber-attack could cause extreme circumstances. Decision making requires knowledge about the current situation. Particularly, […]
Training neural networks with captured real-world network data may fail to ascertain whether or not the network architecture is capable of learning the types of correlations expected to be present in real data. In this paper we outline a statistical model aimed at assessing the learning capability of neural network-based intrusion detection system. We explore […]
High-performance computing (HPC) is defined as the ability to process a massive amount of data and perform complex calculations at high speeds. Technologies such as DA and AI need the big amount of data and computing resources. Especially the deep learning (DL) and neural network development need lots of computational power which cannot be achieved […]
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