Suchergebnisse

Part 2: Novel Sources of Trust and Trust Information ; International audience ; Many government agencies (GAs) increasingly rely on external computing, communications and storage services supplied by service providers (SPs) to process, store or transmit sensitive data to increase scalability and decrease the costs of maintaining services. The relationships with external SPs are usually established through service level agreements (SLAs) as trust-enhancing instruments. However, there is a concern that existing SLAs are mainly focused on the system availability and performance aspects, but overlook security in SLAs. In this paper, we investigated 'real world' SLAs in terms of security guarantees between GAs and external SPs, using Indonesia as a case study. This paper develops a grounded adaptive Delphi method to clarify the current and potential attributes of security-related SLAs that are common among external service offerings. To this end, we conducted a longitudinal study of the Indonesian government auctions of 59 e-procurement services from 2010–2016 to find 'auction winners'. Further, we contacted five selected major SPs (n = 15 participants) to participate in a three-round Delphi study. Using a grounded theory analysis, we examined the Delphi study data to categorise and generalise the extracted statements in the process of developing propositions. We observed that most of the GAs placed significant importance on service availability, but security capabilities of the SPs were not explicitly expressed in SLAs. Additionally, the GAs often use the provision of service availability to demand additional security capabilities supplied by the SPs. We also observed that most of the SPs found difficulties in addressing data confidentiality and integrity in SLAs. Overall, our findings call for a proposition-driven analysis of the Delphi study data to establish the foundation for incorporating security capabilities into security-related SLAs.

Coronavirus disease 2019 (COVID-19) has been a global disaster, with over 746,312 confirmed cases and still counting in Indonesia, especially Jakarta, which has about 50 per cent asymptomatic confirmed cases. This paper aims to investigate the persistent factors of COVID-19 diagnosis using four scenarios of asymptomatic inclusion. We use Bayesian Logistic Regression to identify the factors of COVID-19 positivity, which can address issues in the traditional approach such as overfitting and uncertainty. This study discovers three main findings: (1) COVID-19 can infect people regardless of age; (2) Among twelve symptoms of coronavirus (COVID-19), five symptoms increase the COVID-19 likelihood, and two symptoms decrease the possibility of COVID-19 infection; and (3) From an epidemiological perspective, the contact history rises the probability of COVID-19, while healthcare workers and people who did travel are less likely to become infected from COVID-19. Therefore given this study, it is essential to be attentive to the people who have the symptoms and contact history. Surprisingly, health care workers and travelers who apply health protocols strictly according to the rules have a low risk of COVID19 infection.