Research Roadmap and Agenda for Engineering Secure Future Internet Services

The Network of Excellence on Engineering Secure Future Internet Software Services and Systems (NESSoS) is an EC co-funded project that aims at constituting and integrating a long lasting research community on engineering secure software-based services and systems. The new roadmap and research agenda was published in February 2013. It also contains recommendations on the main research issues to tackle, including the focus on eHealth systems that consider security and privacy by design as foundational aspects.

As a matter of fact, eHealth is an area of rapid innovation, but designing the secure services for emergent eHealth solutions requires a large amount of effort and the collaboration of stakeholders with different views on security and privacy requirements.

The main motto behind NESSoS is "prevention is better than cure", indeed we can reduce the number of vulnerabilities in Future Internet services by having security and privacy "by design", that is right from the early phase of engineering lifecycle.

Current examples of the work being done within NESSoS in the area of eHealth include the development of tools for all phases of the development lifecycle, from the identification of privacy threats and requirement analysis, over the automatic generation of secure-by-design eHealth services from declarative models, to the run-time assurance of security compliance, even when changes in the process or in the requirements occur.

Security competes with flexibility and with availability in many particular situations. Thus NESSoS offers dynamic supervision and enforcement of trade-off policies, allowing for instance controlled access to resources in spite of known security threats, acceptable under some conditions in order to avoid life-threatening situations, use of work-flow models to describe the dynamics of a Patient-Monitoring Work-Flows, verification of work-flows with declarative authorisation policies that include revocation and delegation, and the automatic generation of orchestration of sub-systems, satisfying among others separation of duties requirements and secure recording of events.

Also, NESSoS is interested to data-related aspects, like the smart content generation via sensors that continuously monitor the physical activity or the nutritional intake, and the aggregation and use of data, for instance to recommend personalised insulin dosages.

Methods and tools from NESSoS are already being experimented in the context of several industrial solutions, such as yourEHRM from Atos and Soarian and Syngo from Siemens.

For further information, please visit:
http://www.nessos-project.eu

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...