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

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...