scholarly journals A new lightweight method for security risk assessment based on fuzzy cognitive maps

2014 ◽  
Vol 24 (1) ◽  
pp. 213-225 ◽  
Author(s):  
Piotr Szwed ◽  
Paweł Skrzyński
Keyword(s):  
Risk Assessment ◽  
Data Storage ◽  
Low Cost ◽  
Cognitive Maps ◽  
Assessment Method ◽  
Lessons Learned ◽  
Fuzzy Cognitive Maps ◽  
Software Systems ◽  
Security Risk ◽  
Security Risk Assessment

Abstract For contemporary software systems, security is considered to be a key quality factor and the analysis of IT security risk becomes an indispensable stage during software deployment. However, performing risk assessment according to methodologies and standards issued for the public sector or large institutions can be too costly and time consuming. Current business practice tends to circumvent risk assessment by defining sets of standard safeguards and applying them to all developed systems. This leads to a substantial gap: threats are not re-evaluated for particular systems and the selection of security functions is not based on risk models. This paper discusses a new lightweight risk assessment method aimed at filling this gap. In this proposal, Fuzzy Cognitive Maps (FCMs) are used to capture dependencies between assets, and FCM-based reasoning is performed to calculate risks. An application of the method is studied using an example of an e-health system providing remote telemonitoring, data storage and teleconsultation services. Lessons learned indicate that the proposed method is an efficient and low-cost approach, giving instantaneous feedback and enabling reasoning on the effectiveness of the security system.

eResearch

2018 ◽  
Vol 14 (4) ◽  
pp. 44-63
Author(s):  
Jan C. Thiele
Keyword(s):  
Lessons Learned ◽  
Software Systems ◽  
Functional Requirements ◽  
Joint Research ◽  
Management Tools ◽  
Web Based ◽  
Data Intensive ◽  
Digital Service ◽  
Joint Research Project ◽  
Scientific Framework

Joint research projects in ecology typically aim to integrate scientific knowledge from various disciplines. This raises the request for collaboration technologies. As ecological research is data-intensive, it requires the management and exchange of large datasets, often with spatial reference. The demand for collaboration, data, and information management tools in science is addressed by the creation of digital service infrastructures, so-called eResearch Infrastructures, which are collections of typically web-based software systems. Here, an example eResearch infrastructure implemented for a joint research project is presented. It is described by the user stories, the derived functional requirements, and their implementation in software systems. This infrastructure followed an open-source paradigm with only two exceptions. Based on the lessons learned, recommendations for the future development of eResearch infrastructures and their embedment in an organizational, project, and scientific framework are derived.

scholarly journals Reactor performance, system reliability, instrumentation and control

2020 ◽  
Vol 6 ◽  
pp. 43
Author(s):  
Andreas Schumm ◽  
Madalina Rabung ◽  
Gregory Marque ◽  
Jary Hamalainen
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Lessons Learned ◽  
Software Systems ◽  
Reactor Performance ◽  
Horizon 2020 ◽  
Term Operation ◽  
In The Beginning ◽  
Electrical Cables

We present a cross-cutting review of three on-going Horizon 2020 projects (ADVISE, NOMAD, TEAM CABLES) and one already finished FP7 project (HARMONICS), which address the reliability of safety-relevant components and systems in nuclear power plants, with a scope ranging from the pressure vessel and primary loop to safety-critical software systems and electrical cables. The paper discusses scientific challenges faced in the beginning and achievements made throughout the projects, including the industrial impact and lessons learned. Two particular aspects highlighted concern the way the projects sought contact with end users, and the balance between industrial and academic partners. The paper concludes with an outlook on follow-up issues related to the long term operation of nuclear power plants.

scholarly journals Lessons learned from the development of an affordable fall detection system for mHealth

2015 ◽  
Vol 1 (1) ◽  
pp. 59
Author(s):  
Miguel Angel Estudillo Valderrama ◽  
Laura M Roa Romero ◽  
Luis Javier Reina Tosina ◽  
Gerardo Barbarov Rostan ◽  
David Naranjo Hernandez
Keyword(s):  
Software Development ◽  
Mobile Health ◽  
Detection System ◽  
Fall Detection ◽  
Embedded Software ◽  
The State ◽  
Lessons Learned ◽  
Iterative Design ◽  
State Of Art ◽  
Industrial Prototype

This paper discusses some relevant methodological and implementation experiences acquired during the design and development of an embedded Fall Detection System (FDS), which can be of help in order to develop efficient and safe biomedical software for mobile Health (mHealth). For this purpose, an analysis of concepts like portability and iterative design, as well as some concerns about risks and safety involved, is provided in order to address some of the current challenges in embedded software, regarding the state-of-art of software development standards and mHealth technologies. This analysis is later evaluated for a custom pre-industrial prototype of the FDS, as an example of the feasibility of the approach followed. The results obtained show that a convenient methodological process can help to optimize available resources so as to provide affordable mHealth solutions.

Architecture-Level Configuration of Large-Scale Embedded Software Systems

2014 ◽  
Vol 23 (3) ◽  
pp. 1-43 ◽  
Author(s):  
Razieh Behjati ◽  
Shiva Nejati ◽  
Lionel C. Briand
Keyword(s):  
Large Scale ◽  
Embedded Software ◽  
Software Systems
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