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Health IoT (HIoT) software offers thorny and complex security, privacy and safeguarding (SPS) problems and requirements, with huge potential impact. The HIPSTER project aims to help development teams in the Small-to-Medium Enterprise community, incorporating background information from cyber threat and risk intelligence to create a cost-effective intervention to support decision making around such threats and requirements. This report outlines the approach we plan to use and explores the academic ‘state of the art’ literature around the project. It concludes that the areas of novelty for the project are in finding ways to make risk data meaningful and palatable for software development teams; and in finding objective sources of such security and privacy information for this domain. To support readers in using the literature referenced, all citations and bibliography entries in this document have hyperlinks to the corresponding sources.
health software, cybersecurity, agile, IoT software, risk management, literature survey
health software, cybersecurity, agile, IoT software, risk management, literature survey
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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