Maintaining Trustworthiness of Socio-Technical Systems at Run-Time

Mohammadi, Nazila Gol; Bandyszak, Torsten; Moffie, Micha; Chen, Xiaoyu; Weyer, Thorsten; Kalogiros, Costas; Nasser, Bassem; Surridge, Mike

doi:10.1007/978-3-319-09770-1_1

Cited by 10 publications

(7 citation statements)

References 12 publications

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“…Trustworthiness maintenance is based on monitoring software services within an STS, and identifying threats caused by software properties (i.e., qualities or functions) not fulfilling the user expectations. We extend our preliminary results [10,11] with respect to trustworthiness maintenance, in order to consider trust and reflect the essential relationship between trust and trustworthiness as motivated above. Regarding trust maintenance, our approach combines two complementing ways of measuring users' trust: 1) estimating trust based on the different users' perceptions of the system's trustworthiness characteristics, and 2) monitoring the trust-related user behavior (e.g., in terms of number of mouse clicks in a certain time frame), which is heavily dependent on the type of STS.…”

Section: Introductionmentioning

confidence: 93%

“…Regarding runtime monitoring and measurement of trustworthiness, an initial overview of related work can be found in our previous work [10]. Approaches for online monitoring of software services, e.g.…”

Section: Related Workmentioning

confidence: 99%

“…Similar to trustworthiness maintenance (cf. [10,11]), both of these trust monitoring approaches are used to identify threats that are related to user trust. If a decrease in trust is detected based on either the estimated trust level indicating the user experience of trustworthiness, or abnormal user behavior when interacting with the system, an alert is issued to trigger the trust management process to analyze potential threats.…”

mentioning

confidence: 99%

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Supporting Coordinated Maintenance of System Trustworthiness and User Trust at Runtime

Bandyszak

Moffie²,

Goldsteen³

et al. 2016

Trust Management X

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In addition to design-time considerations, user trust and the trustworthiness of software-intensive socio-technical systems (STS) need to be maintained during runtime. Especially trust can only be monitored based on the actual usage of the system in operation. Service providers should be able to make informed decisions about runtime adaptation based on trust and trustworthiness, as well as respective essential relations. In this paper we present a unified approach to support the coordination of trust and trustworthiness maintenance. Trustworthiness maintenance is based on measuring objective system qualities, while trust maintenance considers two complementary measures of trust, i.e., the user behavior, and an estimation of the perceived system trustworthiness. A prototype tool demonstrates the feasibility of our approach. Furthermore, we illustrate specific functionalities of the tool by means of an application example.

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Section: Introductionmentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Supporting Coordinated Maintenance of System Trustworthiness and User Trust at Runtime

Bandyszak

Moffie²,

Goldsteen³

et al. 2016

Trust Management X

Self Cite

View full text Add to dashboard Cite

show abstract

“…Trust and more importantly, trustworthiness are an integral part of our everyday experiences and is a basic underpinning of cooperative environments [14]. When looking at IoT, trust is paramount for the wide adoption of these systems in the digital world [15].…”

Section: A Information Assurance For the Internet Of Thingsmentioning

confidence: 99%

“…The key to effective trust management is to continuously monitor and analyse system behaviours, identifying threats and recommending and executing potential actions that will militate against issues identified [15]. One aspect of trust management is trust negotiation between interested parties; this negotiation is ongoing and requires active sharing of data and information [28].…”

Section: Ia Trust Management As a Resilience Enhancer In Iotmentioning

confidence: 99%